Publications

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2023

  • [DOI] H. Carrillo, T. de~Wolff, L. Martí, and N. Sanchez-Pi, “Evolutionary multi-objective physics-informed neural networks: The MOPINNs approach,” AI Communications, p. 1–13, 2023.
    [Bibtex] 
    @article{10.3233/aic-230073,
title = {Evolutionary multi-objective physics-informed neural networks: {T}he {MOPINN}s approach},
ISSN = {0921-7126},
url = {http://dx.doi.org/10.3233/AIC-230073},
DOI = {10.3233/aic-230073},
journal = {AI Communications},
publisher = {IOS Press},
author = {Carrillo, Hugo and de~Wolff, Taco and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = {2023},
month = {12},
pages = {1–13}
}
  • [DOI] W. Marinho, E. W. Clua, L. Martí, and K. Marinho, “Predicting Item Response Theory Parameters Using Question Statements Texts,” in LAK23: 13th International Learning Analytics and Knowledge Conference, New York, NY, USA, 2023, p. 1–10.
    [Bibtex] 
    @inproceedings{10.1145/3576050.3576139,
author = {Marinho, Wemerson and Clua, Esteban Walter and Mart\'{i}, Luis and Marinho, Karla},
title = {Predicting Item Response Theory Parameters Using Question Statements Texts},
year = {2023},
isbn = {9781450398657},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3576050.3576139},
doi = {10.1145/3576050.3576139},
abstract = {Recently, new Neural Language Models pre-trained on a massive corpus of texts are available. These models encode statistical features of the languages through their parameters, creating better word vector representations that allow the training of neural networks with smaller sample sets. In this context, we investigate the application of these models to predict Item Response Theory parameters in multiple choice questions. More specifically, we apply our models for the Brazilian National High School Exam (ENEM) questions using the text of their statements and propose a novel optimization target for regression: Item Characteristic Curve. The architecture employed could predict the difficulty parameter b of the ENEM 2020 and 2021 items with a mean absolute error of 70 points. Calculating the IRT score in each knowledge area of the exam for a sample of 100,000 students, we obtained a mean absolute below 40 points for all knowledge areas. Considering only the top quartile, the exam’s main target of interest, the average error was less than 30 points for all areas, being the majority lower than 15 points. Such performance allows predicting parameters on newly created questions, composing mock tests for student training, and analyzing their performance with excellent precision, dispensing with the need for costly item calibration pre-test step.},
booktitle = {LAK23: 13th International Learning Analytics and Knowledge Conference},
pages = {1--10},
numpages = {10},
keywords = {ENEM, Item response theory, Text regression, Question difficulty prediction},
location = {Arlington, TX, USA},
series = {LAK2023}
}
  • [DOI] C. S. Pereira, D. M. Dias, L. Martí, and M. M. B. R. Vellasco, “A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through Genetic Programming,” in Proceedings of the Companion Conference on Genetic and Evolutionary Computation, New York, NY, USA, 2023, p. 1972–1980.
    [Bibtex] 
    @inproceedings{10.1145/3583133.3596313,
author = {Pereira, Cristiane Salgado and Dias, Douglas Mota and Mart\'{i}, Luis and Vellasco, Marley M B R},
title = {A Multi-Objective Decomposition Optimization Method for Refinery Crude Oil Scheduling through {G}enetic {P}rogramming},
year = {2023},
isbn = {9798400701207},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3583133.3596313},
doi = {10.1145/3583133.3596313},
abstract = {This paper proposes an evolutionary algorithm integrating genetic programming and a decomposition-based multi-objective algorithm to address a crude oil refinery scheduling problem. Four objectives are modelled, two related to maintaining the crude oil processing level, and the other two aim to keep the refinery operations as smooth as possible. The proposed method, Constrained-Decomposition of Quantum-Inspired Grammar-based Linear Genetic Programming (C-DQIGLGP), uses Quantum-Inspired Grammar-based Linear Genetic Programming (QIGLGP), replacing its hierarchical approach for the objectives with a multi-objective decomposition-based one. To achieve this goal, QIGLGP was profoundly modified regarding sorting individuals, updating the population, and applying the evolutionary operator. Individuals whose objective values related to processing level are under a predefined limit are better ranked. We compare the results of C-DQIGLGP for five scenarios from a real refinery to those obtained by QIGLGP and Constrained Non-dominated Sort QIGLGP (C-NSQIGLGP), from literature, demonstrating the better performance of C-DQIGLGP for all cases.},
booktitle = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation},
pages = {1972–1980},
numpages = {9},
keywords = {genetic programming, decomposition, quantum-inspired algorithm, refinery scheduling, evolutionary multi-objective optimization},
location = {Lisbon, Portugal},
series = {GECCO'23 Companion},
}

2022

  • T. de Wolff, H. Carrillo, L. Martí, and N. Sanchez-Pi, “Optimal Architecture Discovery for Physics-Informed Neural Networks,” in Advances in Artificial Intelligence – IBERAMIA 2022, Cham, 2022, p. 77–88.
    [Bibtex] 
    @inproceedings{10.1007/978-3-031-22419-5_7,
abstract = {Physics-informed neural networks allow the neural network to be trained by both the training data and prior domain knowledge about the physical system that models the data. In particular, it has a loss function for the data and the physics, where the latter is the deviation from a partial differential equation describing the system. Conventionally, both loss functions are combined by a weighted sum, but this leaves the optimal weight unknown. Additionally, it is necessary to find the optimal architecture of the neural network. In our work, we propose a multi-objective optimization approach to find the optimal value for the loss function weighting, as well as the optimal activation function, number of layers, and number of neurons for each layer. We validate our results on the Burgers and wave equations and show that we are able to find accurate approximations of the solution using optimal hyperparameters.},
address = {Cham},
author = {de Wolff, Taco and Carrillo, Hugo and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
booktitle = {Advances in Artificial Intelligence -- IBERAMIA 2022},
editor = {Bicharra Garcia, Ana Cristina and Ferro, Mariza and Rodr\'{i}guez Rib\'{o}n, Julio Cesar},
isbn = {978-3-031-22419-5},
pages = {77--88},
publisher = {Springer International Publishing},
title = {Optimal Architecture Discovery for Physics-Informed Neural Networks},
year = {2022}
}
  • [DOI] T. de Wolff, H. Carrillo Lincopi, N. Sanchez-Pi, and L. Martí, “MOPINNs: An Evolutionary Multi-Objective Approach to Physics-Informed Neural Networks,” in Proceedings of The Genetic and Evolutionary Computation Conference 2022 (GECCO ’22), New York, NY, USA, 2022.
    [Bibtex] 
    @inproceedings{10.1145/3520304.3529071,
title = {{MOPINNs}: {A}n Evolutionary Multi-Objective Approach to Physics-Informed Neural Networks},
author = {de Wolff, Taco and Carrillo Lincopi, Hugo and Sanchez-Pi, Nayat and Mart\'{i}, Luis},
year = 2022,
month = 7,
booktitle = {Proceedings of The Genetic and Evolutionary Computation Conference 2022 (GECCO '22)},
location = {Boston, MA},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {GECCO'22},
doi = {10.1145/3520304.3529071},
isbn = 781450392686,
url = {https://doi.org/10.1145/3520304.3529071},
numpages = 4
}
  • H. Carrillo, T. de Wolff, L. Martí, and N. Sanchez-Pi, “Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling,” in Workshop AI: Modeling Oceans and Climate Change (AIMOCC 2022) of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022.
    [Bibtex] 
    @inproceedings{hugo-vienna,
author = {Hugo Carrillo and de Wolff, Taco and Luis Mart\'{i} and Nayat Sanchez-Pi},
booktitle = {Workshop AI: Modeling Oceans and Climate Change (AIMOCC 2022) of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)},
date-added = {2022-09-21 11:58:15 -0300},
date-modified = {2022-09-21 12:02:03 -0300},
title = {Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling},
location = {Vienna, Austria},
year = {2022},
month = {7}
}
  • [DOI] H. Lira, L. Martí, and N. Sanchez-Pi, “A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast,” Sensors, vol. 22, iss. 4, 2022.
    [Bibtex] 
    @article{lira-2022:graph-nn-frost,
title = {A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: {A}n Application to Frost Forecast},
author = {Lira, Hernan and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2022,
journal = {Sensors},
volume = 22,
number = 4,
doi = {10.3390/s22041486},
issn = {1424-8220},
url = {https://www.mdpi.com/1424-8220/22/4/1486},
article-number = 1486,
abstract = {Frost forecast is an important issue in climate research because of its economic impact on several industries. In this study, we propose GRAST-Frost, a graph neural network (GNN) with spatio-temporal architecture, which is used to predict minimum temperatures and the incidence of frost. We developed an IoT platform capable of acquiring weather data from an experimental site, and in addition, data were collected from 10 weather stations in close proximity to the aforementioned site. The model considers spatial and temporal relations while processing multiple time series simultaneously. Performing predictions of 6, 12, 24, and 48 h in advance, this model outperforms classical time series forecasting methods, including linear and nonlinear machine learning methods, simple deep learning architectures, and nongraph deep learning models. In addition, we show that our model significantly improves on the current state of the art of frost forecasting methods.},
hal_id = {hal-03541565},
hal_version = {v1}
}
  • AI: Modeling Oceans and Climate Change Workshop (AIMOCC 2022)Vienna, Austria: 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022.
    [Bibtex] 
    @proceedings{sanchez-marti-2022:aimocc,
title = {{AI: Modeling Oceans and Climate Change Workshop (AIMOCC 2022)}},
year = 2022,
month = {7},
publisher = {31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)},
address = {Vienna, Austria},
url = {https://oceania.inria.cl/#aimocc-2022},
editor = {Sanchez-Pi, Nayat and Mart\'{i}, Luis}
}
  • A. Begun, S. De~Rose, T. Jaffri, L. Martí, M. Palmer, J. Paoli, C. Pavlopoulou, E. Pricoiu, S. Sarangi, M. Sawicki, M. Shehadeh, M. Taron, B. Toprani, Z. R. Wadia, D. Watson, E. White, J. Y. Fan, K. Gupta, A. M. Hoang, Z. Liu, J. G. Paliakkara, Z. Wu, Y. Zhang, and X. Zhou, “Assisting authors via semantically-annotated documents,” , iss. 11/507,740, 2022.
    [Bibtex] 
    @patent{01-patent-202211a,
title = {Assisting authors via semantically-annotated documents},
number = {11/507,740},
author = {Begun, Andrew and De~Rose, Steven and Jaffri, Taqi and Mart\'{i}, Luis and Palmer, Michael and Paoli, Jean and Pavlopoulou, Christina and Pricoiu, Elena and Sarangi, Swagatika and Sawicki, Marcin and Shehadeh, Manar and Taron, Michael and Toprani, Bhaven and Wadia, Zubin Rustom and Watson, David and White, Eric and Fan, Joshua Yongshin and Gupta, Kush and Hoang, Andrew Minh and Liu, Zhanlin and Paliakkara, Jerome George and Wu, Zhaofeng and Zhang, Yue and Zhou, Xiaoquan},
year = {2022},
month = {11},
url = {https://patentcenter.uspto.gov/applications/16986146},
holder = {{Docugami, Inc.}},
type = {patent},
location = {US, EU, CA, CN, JP, KR}
}
  • A. Begun, S. De~Rose, T. Jaffri, L. Martí, M. Palmer, J. Paoli, C. Pavlopoulou, E. Pricoiu, S. Sarangi, M. Sawicki, M. Shehadeh, M. Taron, B. Toprani, Z. R. Wadia, D. Watson, E. White, J. Y. Fan, K. Gupta, A. M. Hoang, Z. Liu, J. G. Paliakkara, Z. Wu, Y. Zhang, and X. Zhou, “Automatically assigning semantic role labels to parts of documents,” , iss. 11/514,238, 2022.
    [Bibtex] 
    @patent{01-patent-202211b,
title = {Automatically assigning semantic role labels to parts of documents},
number = {11/514,238},
author = {Begun, Andrew and De~Rose, Steven and Jaffri, Taqi and Mart\'{i}, Luis and Palmer, Michael and Paoli, Jean and Pavlopoulou, Christina and Pricoiu, Elena and Sarangi, Swagatika and Sawicki, Marcin and Shehadeh, Manar and Taron, Michael and Toprani, Bhaven and Wadia, Zubin Rustom and Watson, David and White, Eric and Fan, Joshua Yongshin and Gupta, Kush and Hoang, Andrew Minh and Liu, Zhanlin and Paliakkara, Jerome George and Wu, Zhaofeng and Zhang, Yue and Zhou, Xiaoquan},
year = {2022},
month = {11},
url = {https://patents.justia.com/patent/11514238},
holder = {{Docugami, Inc.}},
type = {patent},
location = {US, EU, CA, CN, JP, KR}
}
  • A. Begun, S. De~Rose, T. Jaffri, L. Martí, M. Palmer, J. Paoli, C. Pavlopoulou, E. Pricoiu, S. Sarangi, M. Sawicki, M. Shehadeh, M. Taron, B. Toprani, Z. R. Wadia, D. Watson, E. White, J. Y. Fan, K. Gupta, A. M. Hoang, Z. Liu, J. G. Paliakkara, Z. Wu, Y. Zhang, and X. Zhou, “Cross-document intelligent authoring and processing, including format for semantically-annotated documents,” , 2022.
    [Bibtex] 
    @patent{01-patent-pending3,
title = {Cross-document intelligent authoring and processing, including format for semantically-annotated documents},
number = {},
author = {Begun, Andrew and De~Rose, Steven and Jaffri, Taqi and Mart\'{i}, Luis and Palmer, Michael and Paoli, Jean and Pavlopoulou, Christina and Pricoiu, Elena and Sarangi, Swagatika and Sawicki, Marcin and Shehadeh, Manar and Taron, Michael and Toprani, Bhaven and Wadia, Zubin Rustom and Watson, David and White, Eric and Fan, Joshua Yongshin and Gupta, Kush and Hoang, Andrew Minh and Liu, Zhanlin and Paliakkara, Jerome George and Wu, Zhaofeng and Zhang, Yue and Zhou, Xiaoquan},
year = {2022},
month = {4},
holder = {{Docugami, Inc.}},
type = {patreq},
note = {patent pending},
keywords = {pending},
}

2021

  • [DOI] A. Muñoz, L. Martí, and N. Sanchez-Pi, “Data Governance, a Knowledge Model Through Ontologies,” in Technologies and Innovation, Cham, 2021, p. 18–32.
    [Bibtex] 
    @inproceedings{10.1007/978-3-030-88262-4_2,
title = {Data Governance, a Knowledge Model Through Ontologies},
author = {Mu\~{n}oz, Ana and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2021,
booktitle = {Technologies and Innovation},
publisher = {Springer International Publishing},
address = {Cham},
pages = {18--32},
doi = {10.1007/978-3-030-88262-4_2},
isbn = {978-3-030-88262-4},
issn = {1865-0929},
editor = {Valencia-Garc\'{i}a, Rafael and Bucaram-Leverone, Martha and Del Cioppo-Morstadt, Javier and Vera-Lucio, N\'{e}stor and J\'{a}come-Murillo, Emma},
abstract = {Ontologies have emerged as a powerful tool for sharing knowledge, due to their ability to integrate them. A key challenge is the interoperability of data sources that do not have a common schema and that were collected, processed and analyzed under different methodologies. Data governance defines policies, organization and standards. Data governance focused on integration processes helps to define what is integrated, who does it and how it is integrated. The representation of this integration process implies that not only the elements involved in the integration of metadata and their data sets need to be represented, but also elements of coordination between people and knowledge domains need to be included. This paper shows the ontology that describes the data governance processes, the elements that make it up and their relationships. For its development, the methodology based on competency questions and definition of terms is used. The data governance ontology creates a context to support the interaction of different data sources. The ontology is instantiated by means of a case study for Data Governance in Mining Inspection for the Geology and Mining Service of the Chilean government.}
}
  • [DOI] N. Sanchez-Pi and L. Martí, “Towards a Green AI: Evolutionary Solutions for an Ecologically Viable Artificial Intelligence,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, New York, NY, USA, 2021, p. 1135–1140.
    [Bibtex] 
    @inproceedings{10.1145/3449726.3461428,
title = {Towards a Green {AI}: {E}volutionary Solutions for an Ecologically Viable Artificial Intelligence},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis},
year = 2021,
month = 7,
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
location = {Lille, France},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {GECCO'21},
pages = {1135--1140},
doi = {10.1145/3449726.3461428},
isbn = 9781450383516,
url = {https://doi.org/10.1145/3449726.3461428},
note = {Invited tutorial},
keywords = {talk,},
numpages = 6
}
  • P. Sánchez-Sáez, H. Lira, L. Martí, and N. Sanchez-Pi, “Anomaly detection for real-time identification of changing-state AGNs in massive datasets,” in Space and AI 2021 workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PDKK 2021), Bilbao, Spain, 2021.
    [Bibtex] 
    @inproceedings{agn-bilbao,
address = {Bilbao, Spain},
author = {P. S{\'a}nchez-S{\'a}ez and Hernan Lira and Luis Mart\'{i} and Nayat Sanchez-Pi},
booktitle = {Space and AI 2021 workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PDKK 2021)},
date-added = {2022-09-21 11:48:03 -0300},
date-modified = {2022-09-21 11:50:51 -0300},
month = {9},
title = {Anomaly detection for real-time identification of changing-state AGNs in massive datasets},
year = {2021},
}
  • [PDF] T. de Wolff, H. Carrillo, L. Martí, and N. Sanchez-Pi, Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling, 2021.
    [Bibtex] 
    @unpublished{dewolff:hal-03260357,
title = {Towards Optimally Weighted Physics-Informed Neural Networks in Ocean Modelling},
author = {de Wolff, Taco and Carrillo, Hugo and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2021,
month = 5,
url = {https://hal.inria.fr/hal-03260357},
note = {Under review},
hal_id = {hal-03260357},
hal_version = {v1},
pdf = {https://hal.inria.fr/hal-03260357/file/neurips_neural-based_solver.pdf},
eprint = {2106.08747},
archiveprefix = {arXiv},
primaryclass = {physics.ao-ph},
bdsk-url-1 = {https://hal.inria.fr/hal-03260357}
}
  • [PDF] T. de Wolff, H. Carrillo, L. Martí, and N. Sanchez-Pi, “Assessing Physics Informed Neural Networks in Ocean Modelling and Climate Change Applications,” in AI: Modeling Oceans and Climate Change Workshop at ICLR 2021, Santiago (Virtual), Chile, 2021.
    [Bibtex] 
    @inproceedings{dewolff:hal-03262684,
title = {Assessing Physics Informed Neural Networks in Ocean Modelling and Climate Change Applications},
author = {de Wolff, Taco and Carrillo, Hugo and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2021,
month = may,
booktitle = {AI: Modeling Oceans and Climate Change Workshop at ICLR 2021},
address = {Santiago (Virtual), Chile},
url = {https://hal.inria.fr/hal-03262684},
editor = {Sanchez-Pi, Nayat and Mart\'{i}, Luis},
hal_id = {hal-03262684},
hal_version = {v1},
pdf = {https://hal.inria.fr/hal-03262684/file/iclr2021_conference.pdf},
bdsk-url-1 = {https://hal.inria.fr/hal-03262684}
}
  • [PDF] H. Lira, L. Martí, and N. Sanchez-Pi, “Frost forecasting model using graph neural networks with spatio-temporal attention,” in AI: Modeling Oceans and Climate Change Workshop at ICLR 2021, Santiago, Chile, 2021.
    [Bibtex] 
    @inproceedings{lira:hal-03259658,
title = {Frost forecasting model using graph neural networks with spatio-temporal attention},
author = {Lira, Hernan and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2021,
month = may,
booktitle = {AI: Modeling Oceans and Climate Change Workshop at ICLR 2021},
address = {Santiago, Chile},
url = {https://hal.inria.fr/hal-03259658},
editor = {Sanchez-Pi, Nayat and Mart\'{i}, Luis},
hal_id = {hal-03259658},
hal_version = {v1},
pdf = {https://hal.inria.fr/hal-03259658/file/iclr2021_conference.pdf},
bdsk-url-1 = {https://hal.inria.fr/hal-03259658}
}
  • N. Sanchez-Pi, L. Martí, A. Abreu, O. Bernard, C. de~Vargas, D. Eveillard, A. Maass, P. Marquet, J. Sainte-Marie, J. Salomon, M. Schoenauer, and M. Sebag, OcéanIA: AI, Data, and Models for Understanding the Ocean and Climate Change, N. Sanchez-Pi and L. Martí, Eds., Lille, Paris, Saclay, Santiago, Sophia-Antipolis: Inria – Institut national de recherche en sciences et technologies du numérique, 2021.
    [Bibtex] 
    @book{oceania-white-book-2021,
title = {{Oc\'{e}anIA}: {AI}, Data, and Models for Understanding the Ocean and Climate Change},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Abreu, Andr\'{e} and Bernard, Olivier and de~Vargas, Colomban and Eveillard, Damien and Maass, Alejandro and Marquet, Pablo~A. and Sainte-Marie, Jacques and Salomon, Julien and Schoenauer, Marc and Sebag, Mich\`{e}le},
year = 2021,
month = 7,
publisher = {Inria -- Institut national de recherche en sciences et technologies du num\'{e}rique},
address = {Lille, Paris, Saclay, Santiago, Sophia-Antipolis},
url = {http://oceania.inria.cl},
note = {The Oc\'{e}nIA Project White Book},
editor = {Sanchez-Pi, Nayat and Mart\'{i}, Luis},
eprint = {hal-01882235},
eprinttype = {hal},
hal_id = {hal-03274323},
hal_version = {v1},
bdsk-url-1 = {http://oceania.inria.cl}
}
  • R. Palma, L. Martí, and N. Sanchez-Pi, “Predicting Mining Industry Accidents with a Multitask Learning Approach,” in Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p. 15370–15376.
    [Bibtex] 
    @inproceedings{palma-2021,
title = {Predicting Mining Industry Accidents with a Multitask Learning Approach},
author = {Palma, Rodolfo and Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2021,
month = 5,
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
volume = 35,
number = 17,
pages = {15370--15376},
issn = {2374-3468},
url = {https://ojs.aaai.org/index.php/AAAI/article/view/17805},
abstract = {The mining sector is a very relevant part of the Chilean economy, representing more than 14\% of the country's GDP and more than 50\% of its exports. However, mining is also a high-risk activity where health, safety, and environmental aspects are fundamental concerns to take into account to render it viable in the longer term. The Chilean National Geology and Mining Service (SERNAGEOMIN, after its name in Spanish) is in charge of ensuring the safe operation of mines. On-site inspections are their main tool in order to detect issues, propose corrective measures, and track the compliance of those measures. Consequently, it is necessary to create inspection programs relying on a data-based decision-making strategy. This paper reports the work carried out in one of the most relevant dimensions of said strategy: predicting the mining worksites accident risk. That is, how likely it is a mining worksite to have accidents in the future. This risk is then used to create a priority ranking that is used to devise the inspection program. Estimating this risk at the government regulator level is particularly challenging as there is a very limited and biased data. Our main contribution is to apply a multi-task learning approach to train the risk prediction model in such a way that is able to overcome the constraints of the limited availability of data by fusing different sources. As part of this work, we also implemented a human-experience-based model that captures the procedures currently used by the current experts in charge of elaborating the inspection priority ranking. The mining worksites risk rankings built by model achieve a 121.2\% NDCG performance improvement over the rankings based on the currently used experts' model and outperforms the non-multi-task learning alternatives.}
}
  • AI: Modeling Oceans and Climate Change Workshop (AIMOCC 2021)Santiago de Chile (Virtual): Tenth International Conference on Learning Representations (ICLR 2021), 2021.
    [Bibtex] 
    @proceedings{sanchez-marti-2021:aimocc,
title = {{AI: Modeling Oceans and Climate Change Workshop (AIMOCC 2021)}},
year = 2021,
month = may,
publisher = {Tenth International Conference on Learning Representations (ICLR 2021)},
address = {Santiago de Chile (Virtual)},
url = {https://oceania.inria.cl/#aimocc},
editor = {Sanchez-Pi, Nayat and Mart\'{i}, Luis},
bdsk-url-1 = {https://oceania.inria.cl/#aimocc}
}
  • [PDF] N. Sanchez-Pi, L. Martí, A. C. Bicharra Garcia, R. B. Yates, M. Vellasco, and C. C. A. Coello, “A Roadmap for AI in Latin America,” in Side event AI in Latin America of the Global Partnership for AI (GPAI) Paris Summit, Paris, France, 2021.
    [Bibtex] 
    @conference{sanchezpi:hal-03526055,
title = {A Roadmap for {AI} in {L}atin {A}merica},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Bicharra Garcia, Ana Cristina and Yates, Ricardo Baeza and Vellasco, Marley and Coello, Carlos A Coello},
year = 2021,
month = Nov,
booktitle = {{Side event AI in Latin America of the Global Partnership for AI (GPAI) Paris Summit}},
address = {Paris, France},
url = {https://hal.inria.fr/hal-03526055},
organization = {{Na}},
pdf = {https://hal.inria.fr/hal-03526055/file/GPAI_2021___AI_in_Latin_America__position_paper.pdf},
hal_id = {hal-03526055},
hal_version = {v1}
}
  • P. Sánchez-Sáez, H. Lira, L. Martí, N. Sanchez-Pi, J. Arredondo, F. E. Bauer, A. Bayo, G. Cabrera-Vives, C. Donoso-Oliva, E. P. A. e, S. Eyheramendy, F. Förster, L. Hernández-García, A. M. Muñoz Arancibia, M. Pérez-Carrasco, M. Sepúlveda, and J. R. Vergara, Searching for changing-state AGNs in massive datasets – I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours, 2021.
    [Bibtex] 
    @unpublished{sanchezsaez-2021:searching,
title = {Searching for changing-state {AGNs} in massive datasets -- {I}: applying deep learning and anomaly detection techniques to find {AGNs} with anomalous variability behaviours},
author = {P. S\'{a}nchez-S\'{a}ez and Hernan Lira and Luis Mart\'{i} and Nayat Sanchez-Pi and J. Arredondo and F. E. Bauer and A. Bayo and G. Cabrera-Vives and C. Donoso-Oliva and P. A. Est'{e}vez and S. Eyheramendy and F. F\"{o}rster and L. Hern\'{a}ndez-Garc\'{i}a and Mu\~{n}oz Arancibia, A. M. and M. P\'{e}rez-Carrasco and M. Sep\'{u}lveda and J. R. Vergara},
year = 2021,
eprint = {2106.07660},
archiveprefix = {arXiv},
primaryclass = {astro-ph.IM}
}
  • [DOI] P. Sánchez-Sáez, H. Lira, L. Martí, N. Sanchez-Pi, J. Arredondo, F. E. Bauer, A. Bayo, G. Cabrera-Vives, C. Donoso-Oliva, P. A. Estévez, S. Eyheramendy, F. Förster, L. Hernández-García, M. A. M. Arancibia, M. Pérez-Carrasco, M. Sepúlveda, and J. R. Vergara, “Searching for changing-state AGNs in massive datasets – I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours,” The Astronomical Journal, vol. 162, iss. 5, 2021.
    [Bibtex] 
    @article{sanchezsaez:hal-03294849,
title = {Searching for changing-state {AGNs} in massive datasets -- {I}: applying deep learning and anomaly detection techniques to find {AGNs} with anomalous variability behaviours},
author = {S{\'a}nchez-S{\'a}ez, P. and Lira, Hernan and Mart\'{i}, Luis and Sanchez-Pi, Nayat and Arredondo, J. and Bauer, F. E. and Bayo, A. and Cabrera-Vives, G. and Donoso-Oliva, C. and Est{\'e}vez, P. A. and Eyheramendy, S. and F{\"o}rster, F. and Hern{\'a}ndez-Garc{\'i}a, L. and Arancibia, A. M. Mu{\~n}oz and P{\'e}rez-Carrasco, M. and Sep{\'u}lveda, M. and Vergara, J. R.},
year = 2021,
month = 10,
journal = {The Astronomical Journal},
volume = 162,
number = 5,
doi = {10.3847/1538-3881/ac1426},
url = {https://hal.inria.fr/hal-03294849},
hal_id = {hal-03294849},
hal_version = {v1}
}
  • A. Begun, S. De~Rose, T. Jaffri, L. Martí, M. Palmer, J. Paoli, C. Pavlopoulou, E. Pricoiu, S. Sarangi, M. Sawicki, M. Shehadeh, M. Taron, B. Toprani, Z. R. Wadia, D. Watson, E. White, J. Y. Fan, K. Gupta, A. M. Hoang, Z. Liu, J. G. Paliakkara, Z. Wu, Y. Zhang, and X. Zhou, “Cross-document intelligent authoring and processing, including format for semantically-annotated documents,” , iss. 11/392,763, 2021.
    [Bibtex] 
    @patent{01-patent-202103,
title = {Cross-document intelligent authoring and processing, including format for semantically-annotated documents},
number = {11/392,763},
author = {Begun, Andrew and De~Rose, Steven and Jaffri, Taqi and Mart\'{i}, Luis and Palmer, Michael and Paoli, Jean and Pavlopoulou, Christina and Pricoiu, Elena and Sarangi, Swagatika and Sawicki, Marcin and Shehadeh, Manar and Taron, Michael and Toprani, Bhaven and Wadia, Zubin Rustom and Watson, David and White, Eric and Fan, Joshua Yongshin and Gupta, Kush and Hoang, Andrew Minh and Liu, Zhanlin and Paliakkara, Jerome George and Wu, Zhaofeng and Zhang, Yue and Zhou, Xiaoquan},
year = {2021},
month = {3},
url = {https://patents.justia.com/patent/11392763},
holder = {{Docugami, Inc.}},
type = {patent},
location = {US, EU, CA, CN, JP, KR}
}

2020

  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Collective intelligence approaches in interactive evolutionary multi-objective optimization,” Logic Journal of the IGPL, vol. 28, iss. 1, p. 95–108, 2020.
    [Bibtex] 
    @article{cinalli-2020:igpl,
title = {Collective intelligence approaches in interactive evolutionary multi-objective optimization},
author = {Daniel Cinalli and Luis Mart\'{i} and Nayat Sanchez-Pi and Bicharra Garcia, Ana Cristina},
year = 2020,
month = {01},
journal = {Logic Journal of the IGPL},
volume = 28,
number = 1,
pages = {95--108},
doi = {10.1093/jigpal/jzz074},
issn = {1367-0751},
url = {https://doi.org/10.1093/jigpal/jzz074},
abstract = {Evolutionary multi-objective optimization algorithms (EMOAs) have been successfully applied in many real-life problems. EMOAs approximate the set of trade-offs between multiple conflicting objectives, known as the Pareto optimal set. Reference point approaches can alleviate the optimization process by highlighting relevant areas of the Pareto set and support the decision makers to take the more confident evaluation. One important drawback of this approaches is that they require an in-depth knowledge of the problem being solved in order to function correctly. Collective intelligence has been put forward as an alternative to deal with situations like these. This paper extends some well-known EMOAs to incorporate collective preferences and interactive techniques. Similarly, two new preference-based multi-objective optimization performance indicators are introduced in order to analyze the results produced by the proposed algorithms in the comparative experiments carried out.},
eprint = {https://academic.oup.com/jigpal/article-pdf/28/1/95/32219693/jzz074.pdf}
}
  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Extending Collective Intelligence Evolutionary Algorithms: A Facility Location Problem Application,” in Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020, p. 1–8.
    [Bibtex] 
    @inproceedings{DBLP:conf/cec/CinalliMPG20,
title = {Extending Collective Intelligence Evolutionary Algorithms: {A} Facility Location Problem Application},
author = {Daniel Cinalli and Luis Mart\'{i} and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2020,
booktitle = {Proceedings of the 2020 IEEE Congress on Evolutionary Computation},
location = {Glasgow, United Kingdom},
publisher = {IEEE},
pages = {1--8},
doi = {10.1109/CEC48606.2020.9185523},
issn = {2473-2001}
}
  • N. Sanchez-Pi, “OcéanIA: AI, Oceans and Climate Change,” in LatinX in AI (LXAI) workshop at NeurIPS 2020, 2020.
    [Bibtex] 
    @inproceedings{sanchez-pi-2020--latinxs-neurips,
title = {{Oc\'{e}anIA}: {AI}, Oceans and Climate Change},
author = {Nayat Sanchez-Pi},
year = 2020,
month = 12,
booktitle = {LatinX in AI (LXAI) workshop at NeurIPS 2020},
url = {https://www.latinxinai.org/neurips-2020-about},
note = {Keynote presentation},
editor = {Ariel Ruiz-Garcia and Ivan Arraut and Juan~M. Banda and Ignacio Lopez-Francos and Fabian Latorre and Magalh\~{a}es Braga, Pedro and Caballero Barajas, Karla and Garrido Mejia, Sergio Hernan and Moya-S\'{a}nchez, Eduardo Ulises and Fernandes Carid\'{a}, Vinicius and Carlos Miranda and Gissella Bejarano and Ortega Caro, Josu\'{e}},
keywords = {talk},
online_presentation_url = {https://slideslive.com/38942447/ai-oceans-and-climate-change},
bdsk-url-1 = {https://www.latinxinai.org/neurips-2020-about}
}
  • [PDF] N. Sanchez-Pi, L. Martí, A. Abreu, O. Bernard, C. de~Vargas, D. Eveillard, A. Maass, P. Marquet, J. Sainte-Marie, J. Salomon, M. Schoenauer, and M. Sebag, “Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change,” in Tackling Climate Change with Machine Learning workshop at NeurIPS 2020, 2020.
    [Bibtex] 
    @inproceedings{sanchez-pi-et-al-2020--neurips,
title = {Artificial Intelligence, Machine Learning and Modeling for Understanding the Oceans and Climate Change},
author = {Nayat Sanchez-Pi and Luis Mart\'{i} and Andr\'{e} Abreu and Olivier Bernard and de~Vargas, Colomban and Damien Eveillard and Alejandro Maass and Pablo~A. Marquet and Jacques Sainte-Marie and Julien Salomon and Marc Schoenauer and Mich\`{e}le Sebag},
year = 2020,
month = 12,
booktitle = {Tackling Climate Change with Machine Learning workshop at NeurIPS 2020},
url = {https://www.climatechange.ai/papers/neurips2020/93},
abstract = {The ongoing transformation of climate and biodiversity will have a drastic impact on almost all forms of life in the ocean with further consequences on food security, ecosystem services in coastal and inland communities. Despite these impacts, scientific data and infrastructures are still lacking to understand and quantify the consequences of these perturbations on the marine ecosystem. Understanding this phenomenon is not only an urgent but also a scientifically demanding task. Consequently, it is a problem that must be addressed with a scientific cohort approach, where multi-disciplinary teams collaborate to bring the best of different scientific areas. In this proposal paper, we describe our newly launched four-years project focused on developing new artificial intelligence, machine learning, and mathematical modeling tools to contribute to the understanding of the structure, functioning, and underlying mechanisms and dynamics of the global ocean symbiome and its relation with climate change. These actions should enable the understanding of our oceans and predict and mitigate the consequences of climate and biodiversity changes.},
editor = {David Dao and Evan Sherwin and Priya Donti and Lynn Kaack and Lauren Kuntz and Yumna Yusuf and David Rolnick and Catherine Nakalembe and Claire Monteleoni and Yoshua Bengio},
hal_id = {hal-03138712},
hal_version = {v1},
pdf = {https://hal.archives-ouvertes.fr/hal-03138712/file/paper.pdf},
slides_pdf_url = {https://www.climatechange.ai/papers/neurips2020/93/slides.pdf},
bdsk-url-1 = {https://www.climatechange.ai/papers/neurips2020/93}
}
  • A. Begun, S. De~Rose, T. Jaffri, L. Martí, M. Palmer, J. Paoli, C. Pavlopoulou, E. Pricoiu, S. Sarangi, M. Sawicki, M. Shehadeh, M. Taron, B. Toprani, Z. R. Wadia, D. Watson, E. White, J. Y. Fan, K. Gupta, A. M. Hoang, Z. Liu, J. G. Paliakkara, Z. Wu, Y. Zhang, and X. Zhou, “Automatically Identifying Chunks in Set of Documents,” , iss. 16/986,139, 2020.
    [Bibtex] 
    @patent{01-patent-pending1,
title = {Automatically Identifying Chunks in Set of Documents},
number = {16/986,139},
author = {Begun, Andrew and De~Rose, Steven and Jaffri, Taqi and Mart\'{i}, Luis and Palmer, Michael and Paoli, Jean and Pavlopoulou, Christina and Pricoiu, Elena and Sarangi, Swagatika and Sawicki, Marcin and Shehadeh, Manar and Taron, Michael and Toprani, Bhaven and Wadia, Zubin Rustom and Watson, David and White, Eric and Fan, Joshua Yongshin and Gupta, Kush and Hoang, Andrew Minh and Liu, Zhanlin and Paliakkara, Jerome George and Wu, Zhaofeng and Zhang, Yue and Zhou, Xiaoquan},
year = {2020},
month = {8},
holder = {{Docugami, Inc.}},
type = {patreq},
note = {patent pending},
keywords = {pending,},
}
  • A. Begun, S. De~Rose, T. Jaffri, L. Martí, M. Palmer, J. Paoli, C. Pavlopoulou, E. Pricoiu, S. Sarangi, M. Sawicki, M. Shehadeh, M. Taron, B. Toprani, Z. R. Wadia, D. Watson, E. White, J. Y. Fan, K. Gupta, A. M. Hoang, Z. Liu, J. G. Paliakkara, Z. Wu, Y. Zhang, and X. Zhou, “Enabling Flexible Processing of Semantically-Annotated Documents,” , 2020.
    [Bibtex] 
    @patent{01-patent-pending2,
title = {Enabling Flexible Processing of Semantically-Annotated Documents},
number = {},
author = {Begun, Andrew and De~Rose, Steven and Jaffri, Taqi and Mart\'{i}, Luis and Palmer, Michael and Paoli, Jean and Pavlopoulou, Christina and Pricoiu, Elena and Sarangi, Swagatika and Sawicki, Marcin and Shehadeh, Manar and Taron, Michael and Toprani, Bhaven and Wadia, Zubin Rustom and Watson, David and White, Eric and Fan, Joshua Yongshin and Gupta, Kush and Hoang, Andrew Minh and Liu, Zhanlin and Paliakkara, Jerome George and Wu, Zhaofeng and Zhang, Yue and Zhou, Xiaoquan},
year = {2020},
month = {8},
holder = {{Docugami, Inc.}},
type = {patreq},
note = {patent pending},
number = {},
keywords = {pending},
}

2019

  • [DOI] L. Lima Marinho, I. C. P. da Nóbrega, N. Sanchez-Pi, R. M. Esteves Moreira da Costa, and V. M. Benjamim Werneck, “Increasing Availability Control of Human Biological Samples Using a Mobile Management System,” in Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications – 10th International Conference, DHM 2019, Held as Part of the 21st HCI International Conference, HCII 2019 (Proceedings Part II), 2019, p. 63–74.
    [Bibtex] 
    @inproceedings{DBLP:conf/hci/MarinhoNPCW19,
title = {Increasing Availability Control of Human Biological Samples Using a Mobile Management System},
author = {Lima Marinho, Leonardo and da N\'{o}brega, Isabel Cristina P. and Sanchez-Pi, Nayat and Esteves Moreira da Costa, Rosa Maria and Benjamim Werneck, Vera Maria},
year = 2019,
month = 7,
booktitle = {Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications - 10th International Conference, {DHM} 2019, Held as Part of the 21st {HCI} International Conference, {HCII} 2019 (Proceedings Part {II})},
location = {Orlando, FL, USA},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = 11582,
pages = {63--74},
doi = {10.1007/978-3-030-22219-2_5},
issn = {1611-3349},
url = {https://doi.org/10.1007/978-3-030-22219-2_5},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/hci/MarinhoNPCW19.bib},
editor = {Vincent G. Duffy},
timestamp = {Mon, 15 Jun 2020 17:04:18 +0200},
bdsk-url-1 = {https://doi.org/10.1007/978-3-030-22219-2_5}
}
  • [DOI] R. Santana, L. Martí, and M. Zhang, “GP-based methods for domain adaptation: using brain decoding across subjects as a test-case,” Genetic Programming and Evolvable Machines, 2019.
    [Bibtex] 
    @article{Santana2019,
title = {GP-based methods for domain adaptation: using brain decoding across subjects as a test-case},
author = {Santana, Roberto and Mart\'{i}, Luis and Zhang, Mengjie},
year = 2019,
month = 5,
day = 10,
journal = {Genetic Programming and Evolvable Machines},
doi = {10.1007/s10710-019-09352-6},
issn = {1573-7632},
url = {https://doi.org/10.1007/s10710-019-09352-6},
abstract = {Research on classifier transferability intends that the information gathered in the solution of a given classification problem could be reused in the solution of similar or related problems. We propose the evolution of transferable classifiers based on the use of multi-objective genetic programming and new fitness-functions that evaluate the amount of transferability. We focus on the domain adaptation scenario in which the problem to be solved is the same in the source and target domains, but the distribution of data is different between domains. As a real-world test case we address the brain decoding problem, whose goal is to predict the stimulus presented to a subject from the analysis of his brain activity. Brain decoding across subjects attempts to reuse the classifiers learned from some subjects in the classification of the others. We evolved GP-based classifiers using different variants of the introduced approach to test their effectiveness on data obtained from a brain decoding experiment involving 16 subjects. Our results show that the GP-based classifiers evolved trying to maximize transferability are able to improve classification accuracy over other classical classifiers that incorporate domain adaptation methods. Moreover, after comparing our algorithm to importance-weighted cross validation (in conjunction with many ML methods), we conclude that our approach achieves state of the art results in terms of transferability.}
}

2018

  • [DOI] J. Carbó, N. Sanchez-Pi, and J. M. Molina López, “Agent-based simulation with NetLogo to evaluate ambient intelligence scenarios,” Journal of Simulation, vol. 12, iss. 1, p. 42–52, 2018.
    [Bibtex] 
    @article{carbo2018agent,
title = {Agent-based simulation with NetLogo to evaluate ambient intelligence scenarios},
author = {Carb\'{o}, Javier and Sanchez-Pi, Nayat and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2018,
journal = {Journal of Simulation},
publisher = {Taylor \& Francis},
volume = 12,
number = 1,
pages = {42--52},
doi = {10.1057/jos.2016.10},
issn = {1747-7778}
}
  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence,” in Evolutionary Multi-Objective System Design: Theory and Applications, N. Nedjah, L. De Macedo Mourelle, and H. Silverio Lopes, Eds., Boca Raton (FL) USA: CRC Press, 2018, p. 51–68.
    [Bibtex] 
    @inbook{cinalli-2018:hybrid,
title = {Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence},
author = {Daniel Cinalli and Luis Mart\'{i} and Nayat Sanchez-Pi and Bicharra Garcia, Ana Cristina},
year = 2018,
booktitle = {Evolutionary Multi-Objective System Design: Theory and Applications},
publisher = {CRC Press},
address = {Boca Raton (FL) USA},
series = {Chapman \& Hall/CRC Computer and Information Science Series},
pages = {51--68},
doi = {10.1201/9781315366845-3},
isbn = 9781498780285,
url = {https://www.crcpress.com/Evolutionary-Multi-Objective-System-Design-Theory-and-Applications/Nedjah-Mourelle-Lopes/p/book/9781498780285},
editor = {Nedjah, Nadia and De Macedo Mourelle, Luiza and Silverio Lopes, Heitor}
}
  • [DOI] J. L. Guerrero, L. Martí, N. Sanchez-Pi, A. Berlanga, and J. M. Molina López, “Multiobjective Evolutionary Polygonal Approximation for Identifying Crude Oil Reservoirs,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, New York, NY, USA, 2018, p. 1805–1812.
    [Bibtex] 
    @inproceedings{Guerrero:2018:MEP:3205651.3208290,
title = {Multiobjective Evolutionary Polygonal Approximation for Identifying Crude Oil Reservoirs},
author = {Guerrero, Jos\'{e} Luis and Mart\'{i}, Luis and Sanchez-Pi, Nayat and Berlanga, Antonio and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2018,
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
location = {Kyoto, Japan},
publisher = {ACM},
address = {New York, NY, USA},
series = {GECCO '18},
pages = {1805--1812},
doi = {10.1145/3205651.3208290},
isbn = {978-1-4503-5764-7},
url = {http://doi.acm.org/10.1145/3205651.3208290},
acmid = 3208290,
keywords = {evolutionary multi-objective optimization, polygonal approximation, visual information},
numpages = 8,
bdsk-url-1 = {http://doi.acm.org/10.1145/3205651.3208290},
bdsk-url-2 = {https://doi.org/10.1145/3205651.3208290}
}
  • [DOI] W. Marinho, L. Martí, and N. Sanchez-Pi, “A Compact Encoding for Efficient Character-level Deep Text Classification,” in Proceedings of the 2018 IEEE 2018 International Joint Conference on Neural Networks part of the 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018), 2018, p. 3726–3733.
    [Bibtex] 
    @inproceedings{marinho-2018:ijcnn,
title = {A Compact Encoding for Efficient Character-level Deep Text Classification},
author = {Wemerson Marinho and Luis Mart\'{i} and Nayat Sanchez-Pi},
year = 2018,
month = 7,
booktitle = {Proceedings of the 2018 IEEE 2018 International Joint Conference on Neural Networks part of the 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018)},
location = {Rio de Janeiro, Brazil},
publisher = {IEEE Press},
pages = {3726--3733},
doi = {10.1109/IJCNN.2018.8489139},
issn = {2473-2001}
}
  • [DOI] L. Martí, E. Segredo, N. Sanchez-Pi, and E. Hart, “Impact of selection methods on the diversity of many-objective Pareto set approximations,” Procedia Computer Science, vol. 112, p. 844–853, 2018.
    [Bibtex] 
    @article{marti-2017:selection,
title = {Impact of selection methods on the diversity of many-objective {P}areto set approximations},
author = {Luis Mart\'{i} and Eduardo Segredo and Nayat Sanchez-Pi and Emma Hart},
year = 2018,
journal = {Procedia Computer Science},
volume = 112,
pages = {844--853},
doi = {10.1016/j.procs.2017.08.077},
issn = {1877-0509},
url = {http://www.sciencedirect.com/science/article/pii/S1877050917314217},
note = {Knowledge-Based and Intelligent Information \& Engineering Systems: {P}roceedings of the 21st International Conference (KES-2017) 6--8 September 2017, Marseille, France},
abstract = {Selection methods are a key component of all multi-objective and, consequently, many-objective optimisation evolutionary algorithms. They must perform two main tasks simultaneously. First of all, they must select individuals that are as close as possible to the Pareto optimal front (convergence). Second, but not less important, they must help the evolutionary approach to provide a diverse population. In this paper, we carry out a comprehensive analysis of state-of-the-art selection methods with different features aimed to determine the impact that this component has on the diversity preserved by well-known multi-objective optimisers when dealing with many-objective problems. The algorithms considered herein, which incorporate Pareto-based and indicator-based selection schemes, are analysed through their application to the Walking Fish Group (WFG) test suite taking into account an increasing number of objective functions. Algorithmic approaches are assessed via a set of performance indicators specifically proposed for measuring the diversity of a solution set, such as the Diversity Measure and the Diversity Comparison Indicator. Hypervolume, which measures convergence in addition to diversity, is also used for comparison purposes. The experimental evaluation points out that the reference-point-based selection scheme of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) and a modified version of the Non-dominated Sorting Genetic Algorithm II (NSGA-II), where the crowding distance is replaced by the Euclidean distance, yield the best results.},
date-modified = {2018-03-02 13:14:19 +0000},
keywords = {diversity preservation},
bdsk-url-1 = {http://www.sciencedirect.com/science/article/pii/S1877050917314217},
bdsk-url-2 = {http://dx.doi.org/10.1016/j.procs.2017.08.077}
}
  • [DOI] L. Martí and M. Schoenauer, “Bio-inspired Approaches to Anomaly and Intrusion Detection,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, New York, NY, USA, 2018, p. 1121–1137.
    [Bibtex] 
    @inproceedings{Marti:2018:BAA:3205651.3207853,
title = {Bio-inspired Approaches to Anomaly and Intrusion Detection},
author = {Mart\'{i}, Luis and Schoenauer, Marc},
year = 2018,
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
location = {Kyoto, Japan},
publisher = {ACM},
address = {New York, NY, USA},
series = {GECCO'18},
pages = {1121--1137},
doi = {10.1145/3205651.3207853},
isbn = {978-1-4503-5764-7},
url = {http://doi.acm.org/10.1145/3205651.3207853},
acmid = 3207853,
date-added = {2018-08-24 03:02:17 +0000},
date-modified = {2018-08-24 03:02:17 +0000},
numpages = 17,
bdsk-url-1 = {http://doi.acm.org/10.1145/3205651.3207853},
bdsk-url-2 = {https://doi.org/10.1145/3205651.3207853}
}
  • [DOI] L. Martí, E. Segredo, N. Sanchez-Pi, and E. Hart, “Selection methods and diversity preservation in many-objective evolutionary algorithms,” Data Technologies and Applications, vol. 52, iss. 4, p. 502–519, 2018.
    [Bibtex] 
    @article{Marti2018,
title = {Selection methods and diversity preservation in many-objective evolutionary algorithms},
author = {Luis Mart\'{i} and Eduardo Segredo and Nayat Sanchez-Pi and Emma Hart},
year = 2018,
month = 8,
journal = {Data Technologies and Applications},
publisher = {Emerald},
volume = 52,
number = 4,
pages = {502--519},
doi = {10.1108/dta-01-2018-0009},
url = {https://doi.org/10.1108/dta-01-2018-0009}
}
  • [DOI] C. S. Pereira, D. M. Dias, M. M. B. R. Vellasco, F. H. F. Viana, and L. Martí, “Crude Oil Refinery Scheduling: Addressing a Real-world Multiobjective Problem Through Genetic Programming and Dominance-based Approaches,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, New York, NY, USA, 2018, p. 1821–1828.
    [Bibtex] 
    @inproceedings{pereira-2018:scheduling,
title = {Crude Oil Refinery Scheduling: {A}ddressing a Real-world Multiobjective Problem Through {G}enetic {P}rogramming and Dominance-based Approaches},
author = {Pereira, Cristiane Salgado and Dias, Douglas Motta and Vellasco, Marley M B R and Viana, Francisco Henrique F and Mart\'{i}, Luis},
year = 2018,
booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion},
location = {Kyoto, Japan},
publisher = {ACM},
address = {New York, NY, USA},
series = {GECCO '18},
pages = {1821--1828},
doi = {10.1145/3205651.3208291},
isbn = {978-1-4503-5764-7},
url = {http://doi.acm.org/10.1145/3205651.3208291},
acmid = 3208291,
date-added = {2018-08-24 03:02:55 +0000},
date-modified = {2018-08-24 03:02:55 +0000},
keywords = {crude oil refinery scheduling, evolutionary multiobjective optimization algorithm, quantum-inspired genetic programming},
numpages = 8
}
  • [DOI] R. Ferreira de Moraes, A. Villela da Silva, L. Satoru Ochi, and L. Martí, “Implementation of a RVND, VNS, ILS heuristic for the Traveling Car Renter Problem,” in Proceedings of the 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018) part of the 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018), 2018, p. 1–8.
    [Bibtex] 
    @inproceedings{rogerio-2018:cec,
title = {Implementation of a {RVND}, {VNS}, {ILS} heuristic for the Traveling Car Renter Problem},
author = {Ferreira de Moraes, Rog\'{e}rio and Villela da Silva, Andr\'{e} and Satoru Ochi, Luiz and Luis Mart\'{i}},
year = 2018,
month = 7,
booktitle = {Proceedings of the 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018) part of the 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018)},
location = {Rio de Janeiro, Brazil},
publisher = {IEEE Press},
pages = {1--8},
doi = {10.1109/CEC.2018.8477777},
keywords = {iterative methods;search problems;transportation;travelling salesman problems;traveling cost varies;constructive initial search;CaRS;traveling car renter problem;random variable neighborhood descent;traveling salesman problem;RVND;VNS;ILS;iterated local search;variable neighborhood search;Automobiles;Urban areas;Matrix decomposition;Search problems;Traveling salesman problems;Electronic mail;Random variables}
}
  • [DOI] N. Sanchez-Pi, L. Martí, Á. Bustamante, and J. M. Molina López, “How Machine Learning Could Detect Anomalies on thinger.io Platform?,” in Highlights of Practical Applications of Complex Multi-Agent Systems – International Workshops of PAAMS 2018, 2018, p. 100–110.
    [Bibtex] 
    @inproceedings{sanchez-2018:iscif,
title = {How Machine Learning Could Detect Anomalies on thinger.io Platform?},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Bustamante, \'{A}lvaro and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2018,
booktitle = {Highlights of Practical Applications of Complex Multi-Agent Systems - International Workshops of PAAMS 2018},
publisher = {Springer International Publishing},
series = {Communications in Computer and Information Science},
volume = 431,
pages = {100--110},
doi = {10.1007/978-3-319-94779-2_23},
editor = {Javier Bajo and Juan M. Corchado and Elena Navarro and Eneko Osaba and Sylvain Giroux and Ant\'{o}nio J.M. Castro and Philippe Mathieu and Patrycja Hoffa-Dabrowska and del Val, Elena and Nayat Sanchez-Pi and Rainer Unland and Azambuja Silveira, Ricardo and Alberto Fern\'{a}ndez and Vicente Juli\'{a}n and Rub\'{e}n Fuentes},
keywords = {predictive analysis; machine learning; time series; IoT}
}
  • [DOI] N. Sanchez-Pi, L. Martí, and J. M. Molina López, “Applying VorEAl for IoT Intrusion Detection,” in 13th International Conference Hybrid Artificial Intelligent Systems (HAIS 2018), 2018, p. 363–374.
    [Bibtex] 
    @inproceedings{Sanchez2018-hais,
title = {Applying {VorEAl} for {IoT} Intrusion Detection},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2018,
booktitle = {13th International Conference Hybrid Artificial Intelligent Systems (HAIS 2018)},
location = {Oviedo, Spain},
publisher = {Springer International Publishing},
pages = {363--374},
doi = {10.1007/978-3-319-92639-1_30},
isbn = {978-3-319-32034-2},
issn = {0302-9743},
editor = {Mart\'{i}nez-\'{a}lvarez, Francisco and Troncoso, Alicia and Quinti\'{a}n, H\'{e}ctor and Corchado, Emilio}
}
  • [DOI] T. Vieira de Aguiar, N. Sanchez-Pi, and V. M. Benjamim Werneck, “AIDE-VR: Extending a Virtual Living Lab Framework using Virtual Reality,” in Highlights of Practical Applications of Complex Multi-Agent Systems – International Workshops of PAAMS 2018, 2018, p. 100–110.
    [Bibtex] 
    @inproceedings{vieira-2018:iscif,
title = {{AIDE-VR}: {E}xtending a Virtual Living Lab Framework using Virtual Reality},
author = {Vieira de Aguiar, Thiago and Sanchez-Pi, Nayat and Benjamim Werneck, Vera Maria},
year = 2018,
booktitle = {Highlights of Practical Applications of Complex Multi-Agent Systems - International Workshops of PAAMS 2018},
publisher = {Springer International Publishing},
series = {Communications in Computer and Information Science},
volume = 431,
pages = {100--110},
editor = {Javier Bajo and Juan M. Corchado and Elena Navarro and Eneko Osaba and Sylvain Giroux and Ant\'{o}nio J.M. Castro and Philippe Mathieu and Patrycja Hoffa-Dabrowska and del Val, Elena and Nayat Sanchez-Pi and Rainer Unland and Azambuja Silveira, Ricardo and Alberto Fern\'{a}ndez and Vicente Juli\'{a}n and Rub\'{e}n Fuentes},
keywords = {Virtual Living Lab; Human-Centered Design; Virtual Reality},
doi = {10.1007/978-3-319-94779-2_24}
}

2017

  • [DOI] A. C. Bicharra Garcia, A. Vivacqua, N. Sanchez-Pi, L. Martí, and J. M. Molina López, “Crowd-Based Ambient Assisted Living to Monitor the Elderly’s Health Outdoors,” IEEE Software, vol. 34, iss. 6, p. 53–57, 2017.
    [Bibtex] 
    @article{bicharra-2017,
title = {Crowd-Based Ambient Assisted Living to Monitor the Elderly's Health Outdoors},
author = {Bicharra Garcia, Ana Cristina and Vivacqua, Adriana and Nayat Sanchez-Pi and Luis Mart\'{i} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2017,
month = 11,
journal = {IEEE Software},
volume = 34,
number = 6,
pages = {53--57},
doi = {10.1109/MS.2017.4121217},
issn = {0740-7459},
abstract = {The SafeNeighborhood approach combines data from multiple sources with collective intelligence. It merges mobile, ambient, and AI technologies with old-fashioned neighborhood ties to create safe outdoor spaces for the elderly. We're exploring AAL techniques in outdoor environments to increase the elderly's independence without them having to interact with technology. Current research in outdoor monitoring relies solely on sensor data. Our approach, which we call SafeNeigborhood (SN), crowdsources people in the neighborhood to revise the computer's inferences from contextual and sensor data. So, SN brings the community together to provide a safer environment for the elderly.},
keywords = {ambient intelligence;artificial intelligence;assisted living;geriatrics;health care;AAL techniques;AI technologies;SafeNeighborhood approach;computer inferences;crowd-based ambient assisted living;elderly health outdoor monitoring;outdoor environments;outdoor monitoring;Assisted living;Biomedical monitoring;Global Positioning System;Mobile communication;Monitoring;Senior citizens;Smart devices;Temperature sensors;SafeNeighborhood;ambient assisted living;care for the elderly;context-aware and smart healthcare;handicapped persons;healthcare;human-centered computing;software development;software engineering;special needs}
}
  • XIII Brazilian Congress on Computational Intelligence –- XIII Congresso Brasileiro de Inteligência Computacional (CBIC 2017)Brazilian Society of Computational Intelligence (SBIC) and Brazilian Association of Computational Intelligence (ABRICOM), 2017.
    [Bibtex] 
    @proceedings{cbic-2017,
title = {XIII Brazilian Congress on Computational Intelligence --- XIII Congresso Brasileiro de Intelig\^{e}ncia Computacional (CBIC 2017)},
year = 2017,
month = 10,
location = {Niter{\'{o}}i, RJ, Brazil},
publisher = {Brazilian Society of Computational Intelligence (SBIC) and Brazilian Association of Computational Intelligence (ABRICOM)},
url = {https://cbic2017.org},
editor = {Mart\'{i}, Luis and Sanchez-Pi, Nayat}
}
  • [DOI] P. Soares Machado, N. Sanchez-Pi, and V. M. Benjamim Werneck, “User Context in a Decision Support System for Stock Market,” in International Conference on Human Interface and the Management of Information, 2017, p. 260–271.
    [Bibtex] 
    @inproceedings{machado2017user,
title = {User Context in a Decision Support System for Stock Market},
author = {Soares Machado, Percy and Sanchez-Pi, Nayat and Benjamim Werneck, Vera Maria},
year = 2017,
booktitle = {International Conference on Human Interface and the Management of Information},
pages = {260--271},
publisher = {Springer},
doi = {10.1007/978-3-319-58524-6_22}
}
  • [DOI] L. Martí, N. Sanchez-Pi, J. M. Molina López, and A. C. Bicharra Garcia, “On the Combination of Support Vector Machines and Segmentation Algorithms for Anomaly Detection: A Petroleum Industry Comparative Study,” Journal of Applied Logic, vol. 24, iss. Part A, p. 71–84, 2017.
    [Bibtex] 
    @article{marti-2016:svm,
title = {On the Combination of Support Vector Machines and Segmentation Algorithms for Anomaly Detection: {A} Petroleum Industry Comparative Study},
author = {Luis Mart\'{i} and Nayat Sanchez-Pi and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2017,
journal = {Journal of Applied Logic},
volume = 24,
number = {Part A},
pages = {71--84},
doi = {10.1016/j.jal.2016.11.015},
issn = {1570-8683},
abstract = {Information retrieval has been widely studied due to the growing amounts of textual information available electronically. Nowadays organizations and industries are facing the challenge of organizing, analyzing and extracting knowledge from masses of unstructured information for decision making process. The development of automatic methods to produce usable structured information from unstructured text sources is extremely valuable to them. Opposed to the traditional text classification methods that need a set of well-classified trained corpus to perform efficient classification; the ontology-based classifier benefits from the domain knowledge and provides more accuracy. In a previous work we proposed and evaluated an ontology-based heuristic algorithm for occupational health control process, particularly, for the case of automatic detection of accidents from unstructured texts. Our extended proposal is more domain dependent because it uses technical terms and contrast the relevance of these technical terms into the text, so the heuristic is more accurate. It divides the problem in subtasks such as: (i) text analysis, (ii) recognition and (iii) classification of failed occupational health control, resolving accidents as text analysis, recognition and classification of failed occupational health control, resolving accidents.},
date-modified = {2017-08-31 15:22:40 +0000},
bdsk-url-1 = {http://dx.doi.org/10.1016/j.jal.2016.11.015}
}
  • [DOI] L. Martí, A. Fansi-Tchango, L. Navarro, and M. Schoenauer, “Progressively Adding Objectives: A Case Study in Anomaly Detection,” in Proceedings of the 2017 Annual Conference on Genetic and Evolutionary Computation (GECCO’17), New York, NY, USA, 2017, p. 1–8.
    [Bibtex] 
    @inproceedings{marti-2017:gecco,
title = {Progressively Adding Objectives: {A} Case Study in Anomaly Detection},
author = {Luis Mart\'{i} and Arsene Fansi-Tchango and Laurent Navarro and Marc Schoenauer},
year = 2017,
booktitle = {Proceedings of the 2017 Annual Conference on Genetic and Evolutionary Computation (GECCO'17)},
location = {Berlin, Germany},
publisher = {ACM Press},
address = {New York, NY, USA},
pages = {1--8},
doi = {10.1145/3071178.3071333},
abstract = {One of the principles of evolutionary multi-objective optimization is the conjoint optimization of the objective functions. However, in some cases, some of the objectives are easier to attain than others. This causes the population to lose diversity at a high rate and stagnate in early stages of the evolution. This paper presents the progressive addition of objectives (PAO) heuristic. PAO gradually adds objectives to a given problem relying on a perceived measure of complexity. This diversity loss phenomenon caused by the nature of a given objective has been observed when applying the Voronoi diagram-based evolutionary algorithm (VorEAl) in anomaly detection problems. Consequently, PAO has been first directed to address that issue. The experimental studies carried out show that the PAO heuristic manages to yield better results than the direct use of VorEAl on a group of test problems.},
keywords = {anomaly detection, artificial immune systems, multi-objective optimization, voronoi diagrams},
bdsk-url-1 = {http://dx.doi.org/10.1145/3071178.3071333}
}

2016

  • [DOI] J. J. Alemán, N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra Garcia, “Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study,” in Human Aspects of IT for the Aged Population. Healthy and Active Aging – Second International Conference, ITAP 2016, part of Proceedings 2016 HCI International Conference (Proceedings Part II), Cham, 2016, p. 16–25.
    [Bibtex] 
    @inproceedings{10.1007/978-3-319-39949-2_2,
abstract = {Nowadays elders, often find it difficult to keep track of their cognitive and functional abilities required for remaining independent in their homes. Ambient Assisted Living (AAL) are the Ambient Intelligence based technologies for the support of daily activities to elders. Traditional rehabilitation is an example of a common activity elders may require and that usually implies they move to the rehabilitation clinics, which is the main reason for treatment discontinuation. Tele-rehabilitation is a solution that not only may help elders but also their family members and health professionals to monitor elder's treatment. The purpose of this paper is to present a tele-rehabilitation system that uses the motion-tracking sensor of the Kinect, to allow the elderly users natural interaction, combined with a set of external sensors as a form of input. Data fusion techniques are applied in order to integrate these data for detecting right movements and to monitor elder's treatment in the rehabilitation process.},
address = {Cham},
author = {Javier Jim\'{e}nez Alem\'{a}n and Sanchez-Pi, Nayat and Luis Mart\'{i} and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
booktitle = {Human Aspects of IT for the Aged Population. Healthy and Active Aging - Second International Conference, {ITAP} 2016, part of Proceedings 2016 {HCI} International Conference (Proceedings Part {II})},
editor = {Zhou, Jia and Salvendy, Gavriel},
isbn = {978-3-319-39949-2},
pages = {16--25},
location = {Toronto, ON, Canada},
month = {7},
doi = {10.1007/978-3-319-39949-2_2},
publisher = {Springer International Publishing},
title = {Gamification and Information Fusion for Rehabilitation: {A}n Ambient Assisted Living Case Study},
year = {2016}
}
  • [DOI] J. Jiménez Alemán, N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra Garcia, “A Data Fusion Model for Ambient Assisted Living,” in Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection: International Workshops of PAAMS 2016 Proceedings, 2016, p. 301–312.
    [Bibtex] 
    @inproceedings{aleman2016:paams,
title = {A Data Fusion Model for Ambient Assisted Living},
author = {Jim\'{e}nez Alem\'{a}n, Javier and Sanchez-Pi, Nayat and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2016,
booktitle = {Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection: International Workshops of PAAMS 2016 Proceedings},
location = {Sevilla, Spain},
publisher = {Springer International Publishing},
pages = {301--312},
doi = {10.1007/978-3-319-39387-2_25},
isbn = {978-3-319-39387-2},
editor = {Bajo, Javier and Escalona, Jos\'{e} Mar\'{i}a and Giroux, Sylvain and Hoffa-D{\k{a}}browska, Patrycja and Juli\'{a}n, Vicente and Novais, Paulo and Sanchez-Pi, Nayat and Unland, Rainer and Azambuja-Silveira, Ricardo}
}
  • D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Preference-based Interactive MOEA on Continuous Problem of Facility Location,” in Workshop de Pesquisa e Desenvolvimento em Inteligêcia Artificial, Inteligêcia Collectiva e Ciência de Dados, 2016.
    [Bibtex] 
    @inproceedings{cinalli-2016:workpedia,
title = {Preference-based Interactive MOEA on Continuous Problem of Facility Location},
author = {Daniel Cinalli and Luis Mart\'{i} and Nayat Sanchez-Pi and Bicharra Garcia, Ana Cristina},
year = 2016,
booktitle = {Workshop de Pesquisa e Desenvolvimento em Intelig\^{e}cia Artificial, Intelig\^{e}cia Collectiva e Ci\^{e}ncia de Dados},
url = {http://www.addlabs.uff.br/workpedia2016/anais-do-workpedia-2016/}
}
  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Bio-Inspired Algorithms and Preferences for Multi-objective Problems,” in 11th International Conference Hybrid Artificial Intelligent Systems (HAIS 2016), 2016, p. 238–249.
    [Bibtex] 
    @inproceedings{Cinalli2016,
title = {Bio-Inspired Algorithms and Preferences for Multi-objective Problems},
author = {Cinalli, Daniel and Mart\'{i}, Luis and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2016,
booktitle = {11th International Conference Hybrid Artificial Intelligent Systems (HAIS 2016)},
location = {Sevilla, Spain},
publisher = {Springer International Publishing},
pages = {238--249},
doi = {10.1007/978-3-319-32034-2_20},
isbn = {978-3-319-32034-2},
editor = {Mart\'{i}nez-\'{A}lvarez, Francisco and Troncoso, Alicia and Quinti\'{a}n, H\'{e}ctor and Corchado, Emilio}
}
  • [DOI] Highlights of Practical Applications of Scalable Multi-Agent Systems –- The PAAMS Collection –- International Workshops of PAAMS 2016Springer, 2016.
    [Bibtex] 
    @proceedings{DBLP:conf/paams/2016w,
title = {Highlights of Practical Applications of Scalable Multi-Agent Systems --- The {PAAMS} Collection --- International Workshops of {PAAMS} 2016},
year = 2016,
month = 6,
location = {Sevilla, Spain},
publisher = {Springer},
series = {Communications in Computer and Information Science},
volume = 616,
doi = {10.1007/978-3-319-39387-2},
isbn = {978-3-319-39386-5},
url = {https://doi.org/10.1007/978-3-319-39387-2},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/paams/2016w},
editor = {Javier Bajo and Mar\'{i}a Jos\'{e} Escalona and Sylvain Giroux and Patrycja Hoffa{-}Dabrowska and Vicente Juli\'{a}n and Paulo Novais and Nayat Sanchez-Pi and Rainer Unland and Ricardo Azambuja Silveira},
timestamp = {Mon, 05 Jun 2017 12:42:30 +0200},
bdsk-url-1 = {https://doi.org/10.1007/978-3-319-39387-2}
}
  • [DOI] H. Dias de Mello Jr, L. Martí, A. V. Abs da Cruz, and M. Rebuzzi Vellasco, “Evolutionary algorithms and elliptical copulas applied to continuous optimization problems,” Information Sciences, vol. 369, p. 419–440, 2016.
    [Bibtex] 
    @article{harold-2016:copulas,
title = {Evolutionary algorithms and elliptical copulas applied to continuous optimization problems},
author = {Dias de Mello Jr, Harold and Mart\'{i}, Luis and Abs da Cruz, Andr\'{e} V. and Rebuzzi Vellasco, Marley~M.~B.},
year = 2016,
month = 11,
journal = {Information Sciences},
volume = 369,
pages = {419--440},
doi = {10.1016/j.ins.2016.07.006},
issn = {0020-0255},
abstract = {Abstract Estimation of Distribution Algorithms (EDAs) constitutes a class of evolutionary algorithms that can extract and exploit knowledge acquired throughout the optimization process. The most critical step in the EDAs is the estimation of the joint probability distribution associated to the variables from the most promising solutions determined by the evaluation function. Recently, a new approach to EDAs has been developed, based on copula theory, to improve the estimation of the joint probability distribution function. However, most copula-based EDAs still present two major drawbacks: focus on copulas with constant parameters, and premature convergence. This paper presents a new copula-based estimation of distribution algorithm for numerical optimization problems, named EDA based on Multivariate Elliptical Copulas (EDA-MEC). This model uses multivariate copulas to estimate the probability distribution for generating a population of individuals. The EDA-MEC differs from other copula-based EDAs in several aspects: the copula parameter is dynamically estimated, using dependence measures; it uses a variation of the learned probability distribution to generate individuals that help to avoid premature convergence; and uses a heuristic to reinitialize the population as an additional technique to preserve the diversity of solutions. The paper shows, by means of a set of parametric tests, that this approach improves the overall performance of the optimization process when compared with other copula-based EDAs and with other efficient heuristics such as the Covariance Matrix Adaptation Evolution Strategy (CMA-ES).},
bdsk-url-1 = {http://dx.doi.org/10.1016/j.ins.2016.07.006}
}
  • W. Marinho and L. Martí, “Review of Student Proficiency Modeling Techniques for use in Intelligent Tutoring Systems,” in Workshop de Pesquisa e Desenvolvimento em Inteligêcia Artificial, Inteligêcia Collectiva e Ciêcia de Dados, 2016.
    [Bibtex] 
    @inproceedings{marinho-2016:workpedia,
title = {Review of Student Proficiency Modeling Techniques for use in Intelligent Tutoring Systems},
author = {Wemerson Marinho and Luis Mart\'{i}},
year = 2016,
booktitle = {Workshop de Pesquisa e Desenvolvimento em Intelig\^{e}cia Artificial, Intelig\^{e}cia Collectiva e Ci\^{e}cia de Dados},
url = {http://www.addlabs.uff.br/workpedia2016/anais-do-workpedia-2016/},
date-added = {2017-08-31 02:25:04 +0000},
date-modified = {2017-08-31 02:25:04 +0000},
bdsk-url-1 = {http://www.addlabs.uff.br/workpedia2016/anais-do-workpedia-2016/}
}
  • [DOI] L. Martí, H. Dias de Mello Jr, N. Sanchez-Pi, and M. Rebuzzi Vellasco, “SMS-EDA-MEC: Extending Copula-based EDAs to Multi-Objective Optimization,” in Proceedings of the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) part of the 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016), 2016, p. 3726–3733.
    [Bibtex] 
    @inproceedings{marti-2016:cec,
title = {{SMS-EDA-MEC}: {E}xtending Copula-based {EDAs} to Multi-Objective Optimization},
author = {Luis Mart\'{i} and Dias de Mello Jr, Harold and Nayat Sanchez-Pi and Rebuzzi Vellasco, Marley~M.~B.},
year = 2016,
month = 7,
booktitle = {Proceedings of the 2016 IEEE Congress on Evolutionary Computation (IEEE CEC 2016) part of the 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016)},
location = {Vancouver, Canada},
publisher = {IEEE Press},
pages = {3726--3733},
doi = {10.1109/CEC.2016.7744261},
abstract = {It can be argued that in order to produce a sub-stantial improvement in multi-objective estimation of distribution algorithms it is necessary to focus on a particular group of issues, in particular, on the weaknesses derived from multi-objective fitness assignment and selection methods, the incorrect treatment of relevant but isolated (precursor) individuals; the loss of population diversity, and the use of `general purpose' modeling algorithms without taking note of the particular requirements of the task. In this work we introduce the S-Metric Selection Estimation of Distribution Algorithm based on Multivariate Extension of Copulas (SMS-EDA-MEC). SMS-EDA-MEC was devised with the intention of dealing with those issues in mind. It builds the population model relying on the comprehensive Clayton's copula and incorporates methods for automatic population restarting and for priming precursor individuals. The experimental studies presented show that SMS-EDA-MEC yields better results than current and `traditional' approaches.},
keywords = {evolutionary computation;stochastic programming;S-metric selection;SMS-EDA-MEC;copula-based EDA;estimation of distribution algorithm;general purpose modeling algorithms;multiobjective fitness assignment;multiobjective optimization;multivariate extension of copulas;population diversity loss;Estimation;Evolutionary computation;Generators;Optimization;Proposals;Sociology;Statistics}
}
  • [DOI] L. Martí, A. Fansi-Tchango, L. Navarro, and M. Schoenauer, “VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System,” in Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation (GECCO’16), New York, NY, USA, 2016, p. 11–12.
    [Bibtex] 
    @inproceedings{marti-2016:gecco,
title = {{VorAIS}: {A} Multi-Objective {V}oronoi Diagram-based Artificial Immune System},
author = {Luis Mart\'{i} and Arsene Fansi-Tchango and Laurent Navarro and Marc Schoenauer},
year = 2016,
booktitle = {Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation (GECCO'16)},
location = {Denver (CO) USA},
publisher = {ACM Press},
address = {New York, NY, USA},
pages = {11--12},
doi = {10.1145/2908961.2909027},
isbn = {978-1-4503-4323-7},
abstract = {This paper introduces the Voronoi diagram-based Artificial Immune System (VorAIS). VorAIS models the self/non-self using a Voronoi diagram that determines which areas of the problem domain correspond to self or to non-self. The diagram is evolved using a multi-objective bio-inspired approach in order to conjointly optimize various classification metrics (accuracy, recall and specificity). VorAIS is experimentally validated, first on standard classification problems, then on the well-known NSL-KDD dataset for anomaly detection where it favorably compares with other AIS approaches.},
keywords = {anomaly detection, artificial immune systems, multi-objectie optimization, voronoi diagrams}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm,” Journal of Global Optimization, vol. 66, iss. 4, p. 729–768, 2016.
    [Bibtex] 
    @article{marti-2016:moneda,
title = {{MONEDA}: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2016,
journal = {Journal of Global Optimization},
volume = 66,
number = 4,
pages = {729--768},
doi = {10.1007/s10898-016-0415-7},
issn = {1573-2916},
abstract = {The extension of estimation of distribution algorithms (EDAs) to the multi-objective domain has led to multi-objective optimization EDAs (MOEDAs). Most MOEDAs have limited themselves to porting single-objective EDAs to the multi-objective domain. Although MOEDAs have proved to be a valid approach, the last point is an obstacle to the achievement of a significant improvement regarding ``standard'' multi-objective optimization evolutionary algorithms. Adapting the model-building algorithm is one way to achieve a substantial advance. Most model-building schemes used so far by EDAs employ off-the-shelf machine learning methods. However, the model-building problem has particular requirements that those methods do not meet and even evade. The focus of this paper is on the model-building issue and how it has not been properly understood and addressed by most MOEDAs. We delve down into the roots of this matter and hypothesize about its causes. To gain a deeper understanding of the subject we propose a novel algorithm intended to overcome the drawbacks of current MOEDAs. This new algorithm is the multi-objective neural estimation of distribution algorithm (MONEDA). MONEDA uses a modified growing neural gas network for model-building (MB-GNG). MB-GNG is a custom-made clustering algorithm that meets the above demands. Thanks to its custom-made model-building algorithm, the preservation of elite individuals and its individual replacement scheme, MONEDA is capable of scalably solving continuous multi-objective optimization problems. It performs better than similar algorithms in terms of a set of quality indicators and computational resource requirements.}
}
  • [DOI] L. Martí, A. Fansi-Tchango, L. Navarro, and M. Schoenauer, “Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm,” in Proceedings of the 14th International Conference Parallel Problem Solving from Nature (PPSN XIV), 2016, p. 697–706.
    [Bibtex] 
    @inproceedings{marti-2016:ppsn,
title = {Anomaly Detection with the {V}oronoi Diagram Evolutionary Algorithm},
author = {Mart\'{i}, Luis and Fansi-Tchango, Arsene and Navarro, Laurent and Schoenauer, Marc},
year = 2016,
month = 9,
booktitle = {Proceedings of the 14th International Conference Parallel Problem Solving from Nature (PPSN XIV)},
location = {Edinburgh, UK},
publisher = {Springer International Publishing},
pages = {697--706},
doi = {10.1007/978-3-319-45823-6_65},
isbn = {978-3-319-45823-6},
abstract = {This paper presents the Voronoi diagram-based evolutionary algorithm (VorEAl). VorEAl partitions input space in abnormal/normal subsets using Voronoi diagrams. Diagrams are evolved using a multi-objective bio-inspired approach in order to conjointly optimize classification metrics while also being able to represent areas of the data space that are not present in the training dataset. As part of the paper, VorEAl is experimentally validated and contrasted with similar approaches.},
editor = {Handl, Julia and Hart, Emma and Lewis, R. Peter and L\'{o}pez-Ib\'{a}\~{n}ez, Manuel and Ochoa, Gabriela and Paechter, Ben}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “A Stopping Criterion for Multi-Objective Optimization Evolutionary Algorithms,” Information Sciences, vol. 367–368, p. 700–718, 2016.
    [Bibtex] 
    @article{marti-2016:stopping,
title = {A Stopping Criterion for Multi-Objective Optimization Evolutionary Algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2016,
month = 7,
journal = {Information Sciences},
volume = {367--368},
pages = {700--718},
doi = {10.1016/j.ins.2016.07.025},
issn = {0020-0255},
url = {http://www.sciencedirect.com/science/article/pii/S0020025516305072},
abstract = {Abstract This paper puts forward a comprehensive study of the design of global stopping criteria for multi-objective optimization. In this study we propose a global stopping criterion, which is terms as MGBM after the authors surnames. MGBM combines a novel progress indicator, called mutual domination rate (MDR) indicator, with a simplified Kalman filter, which is used for evidence-gathering purposes. The MDR indicator, which is also introduced, is a special-purpose progress indicator designed for the purpose of stopping a multi-objective optimization. As part of the paper we describe the criterion from a theoretical perspective and examine its performance on a number of test problems. We also compare this method with similar approaches to the issue. The results of these experiments suggest that MGBM is a valid and accurate approach.},
bdsk-url-1 = {http://www.sciencedirect.com/science/article/pii/S0020025516305072},
bdsk-url-2 = {http://dx.doi.org/10.1016/j.ins.2016.07.025}
}
  • [DOI] N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra Garcia, “Information Fusion for Improving Decision-Making in Big Data Applications,” in Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques, F. Pop, J. Ko{l}odziej, and B. Di Martino, Eds., Heidelberg: Springer International Publishing, 2016, p. 171–188.
    [Bibtex] 
    @incollection{sanchez-2016:big-data,
title = {Information Fusion for Improving Decision-Making in Big Data Applications},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2016,
booktitle = {Resource Management for Big Data Platforms: Algorithms, Modelling, and High-Performance Computing Techniques},
publisher = {Springer International Publishing},
address = {Heidelberg},
series = {Computer Communications and Networks},
pages = {171--188},
doi = {10.1007/978-3-319-44881-7_9},
isbn = {978-3-319-44881-7},
editor = {Pop, Florin and Ko{\l}odziej, Joanna and Di Martino, Beniamino},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-44881-7_9}
}
  • [DOI] N. Sanchez-Pi, L. Martí, and A. C. Bicharra Garcia, “Improving ontology-based text classification: An occupational health and security application,” Journal of Applied Logic, vol. 17, p. 48–58, 2016.
    [Bibtex] 
    @article{sanchez-2016:occupational,
title = {Improving ontology-based text classification: {A}n occupational health and security application},
author = {Nayat Sanchez-Pi and Luis Mart\'{i} and Bicharra Garcia, Ana Cristina},
year = 2016,
journal = {Journal of Applied Logic},
volume = 17,
pages = {48--58},
doi = {10.1016/j.jal.2015.09.008},
issn = {1570-8683},
url = {http://www.sciencedirect.com/science/article/pii/S1570868315000774},
abstract = {Abstract Information retrieval has been widely studied due to the growing amounts of textual information available electronically. Nowadays organizations and industries are facing the challenge of organizing, analyzing and extracting knowledge from masses of unstructured information for decision making process. The development of automatic methods to produce usable structured information from unstructured text sources is extremely valuable to them. Opposed to the traditional text classification methods that need a set of well-classified trained corpus to perform efficient classification; the ontology-based classifier benefits from the domain knowledge and provides more accuracy. In a previous work we proposed and evaluated an ontology-based heuristic algorithm for occupational health control process, particularly, for the case of automatic detection of accidents from unstructured texts. Our extended proposal is more domain dependent because it uses technical terms and contrast the relevance of these technical terms into the text, so the heuristic is more accurate. It divides the problem in subtasks such as: (i) text analysis, (ii) recognition and (iii) classification of failed occupational health control, resolving accidents as text analysis, recognition and classification of failed occupational health control, resolving accidents.},
bdsk-url-1 = {http://www.sciencedirect.com/science/article/pii/S1570868315000774},
bdsk-url-2 = {http://dx.doi.org/10.1016/j.jal.2015.09.008}
}

2015

  • [DOI] J. Jiménez Alemán, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Opportunistic Sensoring Using Mobiles for Tracking Users in Ambient Intelligence,” in Ambient Intelligence – Software and Applications, Cham, 2015, p. 115–123.
    [Bibtex] 
    @inproceedings{aleman2015opportunistic,
title = {Opportunistic Sensoring Using Mobiles for Tracking Users in Ambient Intelligence},
author = {Jim{\'e}nez Alem{\'a}n, Javier and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2015,
doi = {10.1007/978-3-319-19695-4_12},
booktitle = {Ambient Intelligence - Software and Applications},
publisher = {Springer International Publishing},
address = {Cham},
pages = {115--123},
isbn = {978-3-319-19695-4},
editor = {Mohamed, Amr and Novais, Paulo and Pereira, Ant{\'o}nio and Villarrubia Gonz{\'a}lez, Gabriel and Fern{\'a}ndez-Caballero, Antonio},
abstract = {The necessity of using new technologies to monitoring elderly people in open-air environments by their caregivers has become a priority in the last years. In this direction, Ambient Intelligence (AmI) provides useful mechanisms and the geo-localization technologies embedded in smartphones allows tracking elderly people through opportunistic sensoring. The aim of this paper is to show a practical example to how to combine some technologies for monitoring elderly people through the system SafeRoute. We describe the two components of this system: the Android application CareofMe and the web system SafeRoute. The proposed system uses GPS, Wifi and accelerometer sensoring, GoogleMaps functionalities in Android and web environments and an alert system for caregivers.}
}
  • [DOI] J. Jiménez Alemán, N. Sanchez-Pi, and A. C. Bicharra Garcia, “SafeRoute: An Example of Multi-sensoring Tracking for the Elderly Using Mobiles on Ambient Intelligence,” in Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability – The PAAMS Collection, Cham, 2015, p. 201–212.
    [Bibtex] 
    @inproceedings{aleman2015saferoute,
title = {SafeRoute: {A}n Example of Multi-sensoring Tracking for the Elderly Using Mobiles on Ambient Intelligence},
author = {Jim\'{e}nez Alem\'{a}n, Javier and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection},
publisher = {Springer International Publishing},
address = {Cham},
pages = {201--212},
doi = {10.1007/978-3-319-19033-4_17},
isbn = {978-3-319-19033-4},
issn = {1865-0937},
editor = {Bajo, Javier and Hallenborg, Kasper and Pawlewski, Pawel and Botti, Vicente and Sanchez-Pi, Nayat and Duque M{\'e}ndez, Nestor Dar{\'i}o and Lopes, Fernando and Julian, Vicente},
abstract = {New technologies have become an important support for the monitoring of older people in outdoor environments by their caregivers. Smart phones equipped with a rich set of powerful sensors allowed the ubiquitous human activity recognition on mobile platforms at a low cost. Ambient Intelligence (AmI) is an emergent area that provides useful mechanisms that allows tracking elderly people through opportunistic sensoring using smartphone devices. This paper aims to show the second version of SafeRoute, an AmI system that fusions geo-localization sensors data embedded in smartphone devices for the monitoring of elderly people. This version improves functionalities of the previous one with the inclusion of new ones in the two components of this system: the Android OS application CareofMe and the web system SafeRoute. The proposed system merges localization data from GPS and Wifi sensors data in Android OS and includes the use of GoogleMaps functionalities in Android OS and web environments for provide alerts for caregivers.}
}
  • D. Brockhoff, M. Ehrgott, J. R. Figueira, L. Martí, L. Paquete, M. Stiglmayr, and D. Vanderpooten, “Computational Complexity (WG2),” in Understanding Complexity in Multiobjective Optimization –- Report from Dagstuhl Seminar 15031, Dagstuhl, Germany, 2015, p. 116–121.
    [Bibtex] 
    @inproceedings{brockhoff2015computational,
title = {Computational Complexity ({WG2})},
author = {Brockhoff, Dimo and Ehrgott, Matthias and Figueira, Jos\'{e} Rui and Mart\'{i}, Luis and Paquete, Lu\'{i}s and Stiglmayr, Michael and Vanderpooten, Daniel},
year = 2015,
booktitle = {Understanding Complexity in Multiobjective Optimization --- Report from Dagstuhl Seminar 15031},
publisher = {Schloss Dagstuhl, Leibniz-Zentrum f\"ur Informatik, Dagstuhl Publishing},
address = {Dagstuhl, Germany},
pages = {116--121},
url = {http://drops.dagstuhl.de/opus/volltexte/2015/5037},
editor = {Salvatore Greco and Kathrin Klamroth and Joshua D. Knowles and G\"unter Rudolph}
}
  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Using Collective Intelligence to Support Multi-objective Decisions: Collaborative and Online Preferences,” in 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), 2015, p. 82–85.
    [Bibtex] 
    @inproceedings{cinalli-2015:asew,
title = {Using Collective Intelligence to Support Multi-objective Decisions: {C}ollaborative and Online Preferences},
author = {Daniel Cinalli and Luis Mart\'{i} and Nayat Sanchez-Pi and Bicharra Garcia, Ana Cristina},
year = 2015,
month = 11,
booktitle = {30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW)},
location = {Lincoln (NE) USA},
publisher = {IEEE},
pages = {82--85},
doi = {10.1109/ASEW.2015.12},
isbn = {978-1-4673-9775-9},
abstract = {This research indicates a novel approach of evolutionary multi-objective optimization algorithms meant for integrating collective intelligence methods into the optimization process. The new algorithms allow groups of decision makers to improve the successive stages of evolution via users' preferences and collaboration in a direct crowdsourcing fashion. They can, also, highlight the regions of Pareto frontier that are more relevant to the group of decision makers as to focus the search process mainly on those areas. As part of this work we test the algorithms performance when face with some synthetic problem as well as a real-world case scenario.}
}
  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Collective Preferences in Evolutionary Multi-objective Optimization: Techniques and Potential Contributions of Collective Intelligence,” in Proceedings of the 30th Annual ACM Symposium on Applied Computing, New York, NY, USA, 2015, p. 133–138.
    [Bibtex] 
    @inproceedings{cinalli-2015:sac,
title = {Collective Preferences in Evolutionary Multi-objective Optimization: {T}echniques and Potential Contributions of Collective Intelligence},
author = {Cinalli, Daniel and Mart\'{i}, Luis and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {Proceedings of the 30th Annual ACM Symposium on Applied Computing},
location = {Salamanca, Spain},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {SAC '15},
pages = {133--138},
doi = {10.1145/2695664.2695926},
isbn = {978-1-4503-3196-8},
abstract = {This paper reviews suitable techniques of interactive and preference-based evolutionary multi-objective algorithms to achieve feasible solutions in Pareto-optimal front. We discuss about possible advantages of collective environments to aggregate consistent preferences in the optimization process. Decision maker can highlight the regions of Pareto frontier that are more relevant to him and focus the search only on those areas previously selected. In addition, interactive and cooperative genetic algorithms work on refining users' preferences throughout the optimization process to improve the reference point or fitness function. Nevertheless, expressing preferences from a unique or small group of decision makers may raise unilateral choices issues and pour hints in terms of search parameter. Supported by a large group of human interaction, collective intelligence is suggested to enhance multi-objective results and explore a wider variety of answers.},
acmid = 2695926,
keywords = {collective intelligence, evolutionary multi-objective optimization algorithms, preferences, reference points},
numpages = 6
}
  • D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Collaborative Preferences in Multi-Objective Evolutionary Algorithms,” in XII Simpósio Brasileiro de Sistemas Colaborativos (SBSC 2015), 2015.
    [Bibtex] 
    @inproceedings{cinalli-2015:sbsc,
title = {Collaborative Preferences in Multi-Objective Evolutionary Algorithms},
author = {Cinalli, Daniel and Mart\'{i}, Luis and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {XII Simp\'{o}sio Brasileiro de Sistemas Colaborativos (SBSC 2015)},
location = {Salvador (BA) Brazil}
}
  • [DOI] D. Cinalli, L. Martí, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Integrating collective intelligence into evolutionary multi-objective algorithms: Interactive preferences,” in 2015 IEEE Latin America Congress on Computational Intelligence (LA-CCI), 2015, p. 1–6.
    [Bibtex] 
    @inproceedings{cinalli2015integrating,
title = {Integrating collective intelligence into evolutionary multi-objective algorithms: {I}nteractive preferences},
author = {Cinalli, Daniel and Mart\'{i}, Luis and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {2015 IEEE Latin America Congress on Computational Intelligence (LA-CCI)},
pages = {1--6},
doi = {10.1109/LA-CCI.2015.7435952},
organization = {IEEE}
}
  • [DOI] Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability –- The PAAMS Collection –- International Workshops of PAAMS 2015Springer, 2015.
    [Bibtex] 
    @proceedings{DBLP:conf/paams/2015w,
title = {Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability --- The {PAAMS} Collection --- International Workshops of {PAAMS} 2015},
year = 2015,
month = 6,
location = {Salamanca, Spain},
publisher = {Springer},
series = {Communications in Computer and Information Science},
volume = 524,
doi = {10.1007/978-3-319-19033-4},
isbn = {978-3-319-19032-7},
url = {https://doi.org/10.1007/978-3-319-19033-4},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/paams/2015w},
editor = {Javier Bajo and Kasper Hallenborg and Pawel Pawlewski and Vicente J. Botti and Nayat Sanchez-Pi and N\'{e}stor Dar\'{i}o Duque-M\'{e}ndez and Fernando Lopes and Vicente Juli\'{a}n},
timestamp = {Thu, 15 Jun 2017 21:41:38 +0200},
bdsk-url-1 = {https://doi.org/10.1007/978-3-319-19033-4}
}
  • J. Jiménez Alemán, N. Sanchez-Pi, and A. C. Bicharra Garcia, “Modeling Social Interactions for Multi-sensory Tracking of Elders in Outdoor Environments on Ambient Assisted Living,” in Proceedings of the XIV Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais (IHC 2015), Salvador, 2015.
    [Bibtex] 
    @inproceedings{javier2015interactions,
title = {Modeling Social Interactions for Multi-sensory Tracking of Elders in Outdoor Environments on Ambient Assisted Living},
author = {Jim\'{e}nez Alem\'{a}n, Javier and Sanchez-Pi, Nayat and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {Proceedings of the XIV Simp\'{o}sio Brasileiro sobre Fatores Humanos em Sistemas Computacionais (IHC 2015), Salvador}
}
  • [DOI] L. Martí and N. Sanchez-Pi, “Convergence Detection and Stopping Criteria for Evolutionary Multi-Objective Optimization,” in IEEE Congress on Evolutionary Computation, Piscataway, NJ, USA, 2015.
    [Bibtex] 
    @inproceedings{marti-2015:cec-tutorial,
title = {Convergence Detection and Stopping Criteria for Evolutionary Multi-Objective Optimization},
author = {Mart\'{i}, Luis and Sanchez-Pi, Nayat},
year = 2015,
month = 7,
booktitle = {IEEE Congress on Evolutionary Computation},
location = {Sendai, Japan},
publisher = {IEEE Press},
address = {Piscataway, NJ, USA},
doi = {10.13140/RG.2.1.4308.5926},
isbn = 9781450383516,
note = {Invited tutorial},
keywords = {talk},
file = {https://www.cs.usm.maine.edu/~congdon/Conferences/CEC2015/Marti&Sanchez-PI.CEC2015.tutorial.pdf}
}
  • [DOI] L. Martí, C. Grimme, P. Kerschke, H. Trautmann, and G. Rudolph, “Averaged Hausdorff Approximations of Pareto Fronts Based on Multiobjective Estimation of Distribution Algorithms,” in Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA, 2015, p. 1427–1428.
    [Bibtex] 
    @inproceedings{marti-2015:hausdorff,
title = {Averaged {H}ausdorff Approximations of {P}areto Fronts Based on Multiobjective Estimation of Distribution Algorithms},
author = {Mart\'{i}, Luis and Grimme, Christian and Kerschke, Paskal and Trautmann, Heike and Rudolph, G\"{u}nter},
year = 2015,
booktitle = {Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation},
location = {Madrid, Spain},
publisher = {ACM Press},
address = {New York, NY, USA},
series = {GECCO Companion '15},
pages = {1427--1428},
doi = {10.1145/2739482.2764631},
isbn = {978-1-4503-3488-4},
abstract = {We propose a post-processing strategy which consists of applying the averaged Hausdorff indicator to the complete archive of solutions after optimization by multiobjective estimation of distribution algorithms (MEDAs) to select a uniformly distributed subset of non-dominated solutions.},
acmid = 2764631,
editor = {Jim\'{e}nez Laredo, Juan Luis and Sara Silva and Esparcia{-}Alc\'{a}zar, Anna Isabel},
keywords = {averaged hausdorff distance, estimation of distribution algorithm, multiobjective optimization}
}
  • [DOI] L. Martí, N. Sanchez-Pi, J. M. Molina López, and A. C. Bicharra Garcia, “Anomaly Detection Based on Sensor Data in Petroleum Industry Applications,” Sensors, vol. 15, iss. 2, p. 2774–2797, 2015.
    [Bibtex] 
    @article{marti-2015:sensors,
title = {Anomaly Detection Based on Sensor Data in Petroleum Industry Applications},
author = {Mart\'{i}, Luis and Sanchez-Pi, Nayat and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2015,
journal = {Sensors},
volume = 15,
number = 2,
pages = {2774--2797},
doi = {10.3390/s150202774},
issn = {1424-8220},
url = {http://www.mdpi.com/1424-8220/15/2/2774},
abstract = {Anomaly detection is the problem of finding patterns in data that do not conform to an a priori expected behavior. This is related to the problem in which some samples are distant, in terms of a given metric, from the rest of the dataset, where these anomalous samples are indicated as outliers. Anomaly detection has recently attracted the attention of the research community, because of its relevance in real-world applications, like intrusion detection, fraud detection, fault detection and system health monitoring, among many others. Anomalies themselves can have a positive or negative nature, depending on their context and interpretation. However, in either case, it is important for decision makers to be able to detect them in order to take appropriate actions. The petroleum industry is one of the application contexts where these problems are present. The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct or react to the situations associated with them. In that application context, heavy extraction machines for pumping and generation operations, like turbomachines, are intensively monitored by hundreds of sensors each that send measurements with a high frequency for damage prevention. In this paper, we propose a combination of yet another segmentation algorithm (YASA), a novel fast and high quality segmentation algorithm, with a one-class support vector machine approach for efficient anomaly detection in turbomachines. The proposal is meant for dealing with the aforementioned task and to cope with the lack of labeled training data. As a result, we perform a series of empirical studies comparing our approach to other methods applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection.},
file = {journals/cover-sensors.pdf,journals/sensors.pdf}
}
  • [DOI] N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra Garcia, “Ontology Definition and Cognitive Analysis in Occupational Health and Security (OHS) Environments,” in Proceedings of the 30th Annual ACM Symposium on Applied Computing, New York, NY, USA, 2015, p. 201–206.
    [Bibtex] 
    @inproceedings{sanchez-2015:sac,
title = {Ontology Definition and Cognitive Analysis in Occupational Health and Security ({OHS}) Environments},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {Proceedings of the 30th Annual ACM Symposium on Applied Computing},
location = {Salamanca, Spain},
publisher = {ACM Press},
address = {New York, NY, USA},
series = {SAC'15},
pages = {201--206},
doi = {10.1145/2695664.2695891},
isbn = {978-1-4503-3196-8},
abstract = {Events recognition is central to occupational health and safety OHS, since the system can selectively start proper prediction services according to the user current situation and past knowledge taken from huge databases. In this sense, a fusion framework that combines data from multiples sources to achieve more specific inferences is needed. Our proposed model provides the big picture about risk analysis for that employee at that place in that moment in a real world environment. Our main contribution lies in building a causality model for accidents investigation by means of a well-defined spatiotemporal constraints on offshore oil industry domain.},
acmid = 2695891,
keywords = {data fusion, oil industry, ontology},
numpages = 6,
bdsk-url-1 = {http://dx.doi.org/10.1145/2695664.2695891}
}
  • N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra, “Contextual Pattern Discovery in Ambient Intelligent Application,” International Journal of Imaging and Robotics, vol. 15, iss. 4, p. 165–178, 2015.
    [Bibtex] 
    @article{sanchez2015contextual,
title = {Contextual Pattern Discovery in Ambient Intelligent Application},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra, Ana Cristina},
year = 2015,
journal = {International Journal of Imaging and Robotics},
volume = 15,
number = 4,
pages = {165--178},
issn = {2231-525X}
}
  • [DOI] N. Sanchez-Pi, L. A. Paes Leme, and A. C. Bicharra Garcia, “Intelligent agents for alarm management in petroleum ambient,” Journal of Intelligent & Fuzzy Systems, vol. 28, iss. 1, p. 43–53, 2015.
    [Bibtex] 
    @article{sanchez2015intelligent,
title = {Intelligent agents for alarm management in petroleum ambient},
author = {Sanchez-Pi, Nayat and Paes Leme, Luiz Andr\'{e} and Bicharra Garcia, Ana Cristina},
year = 2015,
journal = {Journal of Intelligent \& Fuzzy Systems},
publisher = {IOS Press},
volume = 28,
number = 1,
pages = {43--53},
doi = {10.3233/IFS-141198},
issn = {1875-8967}
}
  • [DOI] D. Trevisan, N. Sanchez-Pi, L. Martí, and A. C. Bicharra Garcia, “Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry,” in Human Interface and the Management of Information. Information and Knowledge Design, 2015, p. 46–54.
    [Bibtex] 
    @inproceedings{trevisan-2015:hcii,
title = {Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry},
author = {Trevisan, Daniela and Sanchez-Pi, Nayat and Mart\'{i}, Luis and Bicharra Garcia, Ana Cristina},
year = 2015,
booktitle = {Human Interface and the Management of Information. Information and Knowledge Design},
publisher = {Springer International Publishing},
series = {Lecture Notes in Computer Science},
volume = 9172,
pages = {46--54},
doi = {10.1007/978-3-319-20612-7_5},
isbn = {978-3-319-20611-0},
abstract = {Association rule learning is a popular and well-researched set of methods for discovering interesting relations between entities in large databases in real-world problems. In this regard, an intelligent offshore oil industry environment is a very complex scenario and Occupational Health and Security (OHS) is a priority issue as it is an important factor to reduce the number of accidents and incidents records. In the oil industry, there exist standards to identify and record workplace accidents and incidents in order to provide guiding means on prevention efforts, indicating specific failures or reference, means of correction of conditions or circumstances that culminated in accident. OHS's employees are in charge of analyzing the mined rules to extract knowledge. In most of cases these users has two main challenges during this process: (i) to explore the measures of interestingness (confidence, lift, support, etc.) and (ii) to understand and analyze the large number of association rules. In this sense, an intuitive visualization of mined rules becomes a key component in a decision-making process. In this paper, we propose a novel visualization of spatio-temporal rules that provides the big picture about risk analysis in a real world environment. Our main contribution lies in an interactive visualization of accident interpretations by means of well-defined spatio-temporal constraints, in the oil industry domain.},
editor = {Yamamoto, Sakae},
keywords = {Data visualization; Big data applications; Decision support systems; Oil and gas industry},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-20612-7_5}
}

2014

  • [DOI] L. Martí, N. Sanchez-Pi, J. M. Molina López, and A. C. Bicharra Garcia, “YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems,” in Hybrid Artificial Intelligence Systems, Berlin/Heidelberg, 2014, p. 697–708.
    [Bibtex] 
    @inproceedings{marti-2014:hais,
title = {{YASA}: {Y}et Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems},
author = {Mart\'{i}, Luis and Sanchez-Pi, Nayat and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2014,
booktitle = {Hybrid Artificial Intelligence Systems},
publisher = {Springer International Publishing},
address = {Berlin/Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 8480,
pages = {697--708},
doi = {10.1007/978-3-319-07617-1_61},
isbn = {978-3-319-07616-4},
abstract = {Time series patterns analysis had recently attracted the attention of the research community for real-world applications. Petroleum industry is one of the application contexts where these problems are present, for instance for anomaly detection. Offshore petroleum platforms rely on heavy turbomachines for its extraction, pumping and generation operations. Frequently, these machines are intensively monitored by hundreds of sensors each, which send measurements with a high frequency to a concentration hub. Handling these data calls for a holistic approach, as sensor data is frequently noisy, unreliable, inconsistent with a priori problem axioms, and of a massive amount. For the anomalies detection problems in turbomachinery, it is essential to segment the dataset available in order to automatically discover the operational regime of the machine in the recent past. In this paper we propose a novel time series segmentation algorithm adaptable to big data problems and that is capable of handling the high volume of data involved in problem contexts. As part of the paper we describe our proposal, analyzing its computational complexity. We also perform empirical studies comparing our algorithm with similar approaches when applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection.},
editor = {Polycarpou, Marios and de Carvalho, Andr\'{e} C.P.L.F. and Pan, Jeng-Shyang and Wo\'{z}niak, Micha\l and Quintian, H\'{e}ctor and Corchado, Emilio},
keywords = {Time series segmentation; anomaly detection; big data; oil industry application}
}
  • [DOI] L. Martí, N. Sanchez-Pi, and M. M. B. R. Rebuzzi Vellasco, “Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms,” in Advances in Artificial Intelligence –- IBERAMIA 2014, Heidelberg/Berlin, 2014, p. 359–370.
    [Bibtex] 
    @inproceedings{marti-2014:outliers,
title = {Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms},
author = {Mart\'{i}, Luis and Sanchez-Pi, Nayat and Rebuzzi Vellasco, Marley M B R},
year = 2014,
booktitle = {Advances in Artificial Intelligence --- IBERAMIA 2014},
location = {Santiago de Chile, Chile},
publisher = {Springer International Publishing},
address = {Heidelberg/Berlin},
series = {Lecture Notes in Computer Science},
pages = {359--370},
doi = {10.1007/978-3-319-12027-0_29},
isbn = {978-3-319-12026-3},
abstract = {It has been already documented the fact that estimation of distribution algorithms suffer from loss of population diversity and improper treatment of isolated solutions. This situation is particularly severe in the case of multi-objective optimization, as the loss of solution diversity limits the capacity of an algorithm to explore the Pareto-optimal front at full extent. A set of approaches has been proposed to deal with this problem but ---to the best of our knowledge--- there has not been a comprehensive comparative study on the outcome of those solutions and at what degree they actually solve the issue. This paper puts forward such study by comparing how current approaches handle diversity loss when confronted to different multi-objective problems.},
editor = {Bazzan, Ana L.C. and Pichara, Karim},
keywords = {Multi-objective optimization; Estimation of distribution algorithms; Model building; Outlier detection}
}
  • [DOI] L. Martí, N. Sanchez-Pi, J. M. Molina López, and A. C. Bicharra Garcia, “Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application,” in 9th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2014), Berlin/Heidelberg, 2014, p. 269–278.
    [Bibtex] 
    @inproceedings{marti-2014:soco,
title = {Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: {A} Petroleum Industry Application},
author = {Mart\'{i}, Luis and Nayat Sanchez-Pi and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2014,
booktitle = {9th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2014)},
location = {Salamanca, Spain},
publisher = {Springer},
address = {Berlin/Heidelberg},
series = {Advances in Intelligent Systems and Computing},
volume = 299,
pages = {269--278},
doi = {10.1007/978-3-319-07995-0_27},
abstract = {Anomaly detection is the problem of finding patterns in data that do not conform to expected behavior. Similarly, when patterns are numerically distant from the rest of sample, anomalies are indicated as outliers. Anomaly detection had recently attracted the attention of the research community for real-world applications. The petroleum industry is one of the application contexts where these problems are present. The correct detection of such types of unusual information empowers the decision maker with the capacity to act on the system in order to correctly avoid, correct, or react to the situations associated with them. In that sense, heavy extraction machines for pumping and generation operations like turbomachines are intensively monitored by hundreds of sensors each that send measurements with a high frequency for damage prevention. For dealing with this and with the lack of labeled data, in this paper we propose a combination of a fast and high quality segmentation algorithm with a one-class support vector machine approach for efficient anomaly detection in turbomachines. As result we perform empirical studies comparing our approach to other methods applied to benchmark problems and a real-life application related to oil platform turbomachinery anomaly detection.},
editor = {de la Puerta, Jos\'{e} Gaviria and Ferreira, Iv\'{a}n Garc\'{i}a and Garc\'{i}a Bringas, Pablo and Klett, Fanny and Abraham, Ajith and de Carvalho, Andr\'{e} C.P.L.F. and Herrero, \'{a}lvaro and Baruque, Bruno and Quinti\'{a}n, H\'{e}ctor and Corchado, Emilio}
}
  • [DOI] N. Sanchez-Pi, L. Martí, and A. C. Bicharra Garcia, “Text Classification Techniques in Oil Industry Applications,” in International Joint Conference SOCO’13-CISIS’13-ICEUTE’13, Berlin/Heidelberg, 2014, p. 211–220.
    [Bibtex] 
    @inproceedings{sanchez-2013-soco,
title = {Text Classification Techniques in Oil Industry Applications},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Bicharra Garcia, Ana Cristina},
year = 2014,
booktitle = {International Joint Conference SOCO'13-CISIS'13-ICEUTE'13},
publisher = {Springer International Publishing},
address = {Berlin/Heidelberg},
series = {Advances in Intelligent Systems and Computing},
volume = 239,
pages = {211--220},
doi = {10.1007/978-3-319-01854-6_22},
isbn = {978-3-319-01853-9},
abstract = {The development of automatic methods to produce usable structured information from unstructured text sources is extremely valuable to the oil and gas industry. A structured resource would allow researches and industry professionals to write relatively simple queries to retrieve all the information regards transcriptions of any accident. Instead of the thousands of abstracts provided by querying the unstructured corpus, the queries on structured corpus would result in a few hundred well-formed results. On this paper we propose and evaluate information extraction techniques in occupational health control process, particularly, for the case of automatic detection of accidents from unstructured texts. Our proposal divides the problem in subtasks such as text analysis, recognition and classification of failed occupational health control, resolving accidents.},
date-modified = {2021-07-18 10:43:29 -0400},
editor = {Herrero, \'{A}lvaro and Baruque, Bruno and Klett, Fanny and Abraham, Ajith and Sn\'{a}\v{s}el, V\'{a}clav and de Carvalho, Andr\'{e} C.P.L.F. and Garc\'{i}a Bringas, Pablo and Zelinka, Ivan and Quintian, H\'{e}ctor and Corchado, Emilio},
keywords = {text classification; ontology; oil and gas industry},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-01854-6_22}
}
  • N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra Garcia, “An information fusion framework for context-based accidents prevention,” in 17th International Conference on Information Fusion (FUSION), 2014, p. 1–8.
    [Bibtex] 
    @inproceedings{sanchez-2014:fusion,
title = {An information fusion framework for context-based accidents prevention},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2014,
month = 7,
booktitle = {17th International Conference on Information Fusion (FUSION)},
pages = {1--8},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916105&tag=1},
abstract = {The oil and gas industry is increasingly concerned with achieving and demonstrating good performance with regard occupational health and safety (OHS) issues, through the control of its OHS risks, which is consistent with its core policy and objectives. There are standards to identify and record workplace accidents and incidents to provide guiding means on prevention efforts, indicating specific failures or reference, means of correction of conditions or circumstances that culminated in an accident. Therefore, events recognition is central to OHS, since the system can selectively start proper prediction services according to the user current situation and past knowledge taken from huge databases. In this sense, a fusion framework that combines data from multiples sources to achieve more specific inferences is needed. In this paper we propose a machine learning algorithm to learn from past anomalous events related to accident events in time and space. It also uses additional knowledge, like the contextual knowledge: user profile, event location and time, etc. Our proposed model provides the big picture about risk analysis for that employee at that place in that moment in a real world environment. Our main contribution lies in building a causality model for accident investigation by means of well-defined spatiotemporal constraints in the offshore oil industry domain.},
bdsk-url-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916105&tag=1}
}
  • [DOI] N. Sanchez-Pi, L. Martí, J. M. Molina López, and A. C. Bicharra Garcia, “High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments,” in Highlights of Practical Applications of Heterogeneous Multi-Agent Systems –- The PAAMS Collection, Berlin/Heidelberg, 2014, p. 202–213.
    [Bibtex] 
    @inproceedings{sanchez-2014:iscif,
title = {High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments},
author = {Nayat Sanchez-Pi and Mart\'{i}, Luis and Molina L\'{o}pez, Jos\'{e} Manuel and Bicharra Garcia, Ana Cristina},
year = 2014,
booktitle = {Highlights of Practical Applications of Heterogeneous Multi-Agent Systems --- The PAAMS Collection},
publisher = {Springer International Publishing},
address = {Berlin/Heidelberg},
series = {Communications in Computer and Information Science},
volume = 430,
pages = {202--213},
doi = {10.1007/978-3-319-07767-3_19},
isbn = {978-3-319-07766-6},
abstract = {Information fusion studies theories and methods to effectively combine data from multiple sensors and related information to achieve more specific inferences that could be achieved by using a single, independent sensor. Information fused from sensors and data mining analysis has recently attracted the attention of the research community for real-world applications. In this sense, the deployment of an Intelligent Offshore Oil Industry Environment will help to figure out a risky scenario based on the events occurred in the past related to anomalies and the profile of the current employee (role, location, etc.). In this paper we propose an information fusion model for an intelligent oil environment in which employees are alerted about possible risk situations while their are moving around their working place. The layered architecture, implements a reasoning engine capable of intelligently filtering the context profile of the employee (role, location) for the feature selection of an inter-transaction mining process. Depending on the employee contextual information he will receive intelligent alerts based on the prediction model that use his role and his current location. This model provides the big picture about risk analysis for that employee at that place in that moment.},
date-modified = {2021-07-18 10:46:31 -0400},
editor = {Corchado, Juan M. and Bajo, Javier and Kozlak, Jaroslaw and Pawlewski, Pawel and Molina L\'{o}pez, Jos\'{e} Manuel and Gaudou, Benoit and Julian, Vicente and Unland, Rainer and Lopes, Fernando and Hallenborg, Kasper and Garc\'{i}a Teodoro, Pedro},
keywords = {Information fusion; context; data mining; ontologies; oil industry},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-07767-3_19}
}

2013

  • A. C. Bicharra Garcia, F. B. Pinto, and N. Sanchez-Pi, “An Ontology-Based Tool for Collaborative and Social Sensemaking,” in WAIHCWS: Proceedings of the 5th Workshop sobre Aspectos da Interação Humano-Computador na Web Social (WAIHCWS 2013) co-located with 12th Simpósio de Fatores Humanos em Sistemas Computacionais (IHC 2013), 2013, p. 34–38.
    [Bibtex] 
    @inproceedings{DBLP:conf/ihc/GarciaPP13,
title = {An Ontology-Based Tool for Collaborative and Social Sensemaking},
author = {Bicharra Garcia, Ana Cristina and Pinto, Fernando Bicharra and Sanchez-Pi, Nayat},
year = 2013,
booktitle = {WAIHCWS: Proceedings of the 5th Workshop sobre Aspectos da Intera\c{c}{\~a}o Humano-Computador na Web Social (WAIHCWS 2013) co-located with 12th Simp\'{o}sio de Fatores Humanos em Sistemas Computacionais (IHC 2013)},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
volume = 1051,
pages = {34--38},
ee = {http://ceur-ws.org/Vol-1051}
}
  • [DOI] J. Carbó, N. Sanchez-Pi, D. Griol, and J. M. Molina López, “Comparing Agent Interactions of Distributed and Centralized Multi-Agent Systems for Context-Aware Domains,” in Highlights on Practical Applications of Agents and Multi-Agent Systems – International Workshops of PAAMS 2013, Salamanca, Spain, May 22-24, 2013. Proceedings, 2013, p. 158–165.
    [Bibtex] 
    @inproceedings{DBLP:conf/paams/CarboPGM13,
title = {Comparing Agent Interactions of Distributed and Centralized Multi-Agent Systems for Context-Aware Domains},
author = {Javier Carb\'{o} and Nayat Sanchez-Pi and David Griol and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2013,
booktitle = {Highlights on Practical Applications of Agents and Multi-Agent Systems - International Workshops of {PAAMS} 2013, Salamanca, Spain, May 22-24, 2013. Proceedings},
pages = {158--165},
doi = {10.1007/978-3-642-38061-7_16},
url = {https://doi.org/10.1007/978-3-642-38061-7_16},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/paams/CarboPGM13},
crossref = {DBLP:conf/paams/2013w},
timestamp = {Mon, 05 Jun 2017 12:42:31 +0200},
bdsk-url-1 = {https://doi.org/10.1007/978-3-642-38061-7_16}
}
  • N. Sanchez-Pi, L. Martí, and A. C. Bicharra Garcia, “Ontology-Based Heuristic Algorithm For Text Classification In Oil Industry Application,” in Proceedings of the 15th International Conference on Artificial Intelligence, ICAI 2013, Las Vegas Nevada, USA, 2 Volumes, 2013, Las Vegas, USA, 2013, p. 40–48.
    [Bibtex] 
    @inproceedings{icai-2013,
title = {Ontology-Based Heuristic Algorithm For Text Classification In Oil Industry Application},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Bicharra Garcia, Ana Cristina},
year = 2013,
booktitle = {Proceedings of the 15th International Conference on Artificial Intelligence, ICAI 2013, Las Vegas Nevada, USA, 2 Volumes, 2013},
address = {Las Vegas, USA},
volume = 2,
pages = {40--48}
}
  • N. Sanchez-Pi, L. Martí, and A. C. Bicharra Garcia, “Information Extraction Techniques for Health, Safety and Environment Applications in Oil Industry,” in Proceedings of IADIS International Conference Intelligent Systems and Agents 2013, Praga, Czech Republic, 2013, p. 115–119.
    [Bibtex] 
    @inproceedings{isa-2013,
title = {Information Extraction Techniques for Health, Safety and Environment Applications in Oil Industry},
author = {Sanchez-Pi, Nayat and Mart\'{i}, Luis and Bicharra Garcia, Ana Cristina},
year = 2013,
booktitle = {Proceedings of IADIS International Conference Intelligent Systems and Agents 2013},
address = {Praga, Czech Republic},
pages = {115--119},
isbn = {78-972-8939-93-9}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Multi-Objective Optimization with an Adaptive Resonance Theory-based Estimation of Distribution Algorithm,” Annals of Mathematics and Artificial Intelligence, vol. 68, iss. 4, p. 247–273, 2013.
    [Bibtex] 
    @article{marti-2012:marteda-amai,
title = {Multi-Objective Optimization with an Adaptive Resonance Theory-based Estimation of Distribution Algorithm},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2013,
journal = {Annals of Mathematics and Artificial Intelligence},
publisher = {Kluwer Academic Publishers},
address = {Hingham, MA, USA},
volume = 68,
number = 4,
pages = {247--273},
doi = {10.1007/s10472-012-9303-0},
issn = {1012-2443},
abstract = {The introduction of learning to the search mechanisms of optimization algorithms has been nominated as one of the viable approaches when dealing with complex optimization problems, in particular with multi-objective ones. One of the forms of carrying out this hybridization process is by using multi-objective optimization estimation of distribution algorithms (MOEDAs). However, it has been pointed out that current MOEDAs have an intrinsic shortcoming in their model-building algorithms that hamper their performance. In this work, we put forward the argument that error-based learning, the class of learning most commonly used in MOEDAs is responsible for current MOEDA underachievement. We present adaptive resonance theory (ART) as a suitable learning paradigm alternative and present a novel algorithm called multi-objective ART-based EDA (MARTEDA) that uses a Gaussian ART neural network for model-building and a hypervolume-based selector as described for the HypE algorithm. In order to assert the improvement obtained by combining two cutting-edge approaches to optimization an extensive set of experiments are carried out. These experiments also test the scalability of MARTEDA as the number of objective functions increases.},
acmid = 2560185,
keywords = {65K10, 68T05, 68T20, Adaptive resonance theory, Estimation of distribution algorithms, Multi-objective optimization},
numpages = 27
}
  • [DOI] N. Sanchez-Pi, D. Griol, J. Carbó, and J. M. Molina López, “Evaluation of Agents Interactions in a Context-Aware System,” in Transactions on Computational Collective Intelligence IX, N. T. Nguyen, Ed., Springer Berlin Heidelberg, 2013, vol. 7770, p. 79–97.
    [Bibtex] 
    @incollection{sanchezpi-2013,
title = {Evaluation of Agents Interactions in a Context-Aware System},
author = {Sanchez-Pi, Nayat and Griol, David and Carb\'{o}, Javier and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2013,
booktitle = {Transactions on Computational Collective Intelligence IX},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 7770,
pages = {79--97},
doi = {10.1007/978-3-642-36815-8_4},
isbn = {978-3-642-36814-1},
url = {http://dx.doi.org/10.1007/978-3-642-36815-8_4},
editor = {Nguyen, Ngoc Thanh},
keywords = {Multi-Agent Systems; {E}valuation; Context-Aware Architectures},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-36815-8_4}
}

2012

  • [DOI] A. C. Bicharra Garcia, N. Sanchez-Pi, L. Correia, and J. M. Molina López, “Multi-agent simulations for emergency situations in an airport scenario,” ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, vol. 1, iss. 3, p. 69–73, 2012.
    [Bibtex] 
    @article{bic_al:12,
title = {Multi-agent simulations for emergency situations in an airport scenario},
author = {Bicharra Garcia, Ana Cristina and Sanchez-Pi, Nayat and Correia, Lu\'{i}s and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2012,
journal = {ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal},
publisher = {Universidad de Salamanca},
volume = 1,
number = 3,
pages = {69--73},
doi = {10.14201/ADCAIJ20121316973},
issn = {2255-2863},
abstract = {This paper presents a multi-agent framework using Net- Logo to simulate human and collective behaviors during emergency evacuations. Emergency situation appears when an unexpected event occurs. In indoor emergency situation, evacuation plans defined by facility manager explain procedure and safety ways to follow in an emergency situation. A critical and public scenario is an airportwhere there is an everyday transit of thousands of people. In this scenario the importance is related with incidents statistics regarding overcrowding and crushing in public buildings. Simulation has the objective of evaluating building layouts considering several possible configurations. Agents could be based on reactive behavior like avoid danger or follow other agent, or in deliberative behavior based on BDI model. This tool provides decision support in a real emergency scenario like an airport, analyzing alternative solutions to the evacuation process.}
}
  • [DOI] A. C. Bicharra Garcia, L. A. Portes, F. Pinto, and N. Sanchez-Pi, “Real-Time Alarm Management System for Emergency Situations,” in Modern Advances in Intelligent Systems and Tools, W. Ding, H. Jiang, M. Ali, and M. Li, Eds., Springer Berlin Heidelberg, 2012, vol. 431, p. 9–18.
    [Bibtex] 
    @incollection{china2013,
title = {Real-Time Alarm Management System for Emergency Situations},
author = {Bicharra Garcia, Ana Cristina and Portes, Luiz Andre and Pinto, Fernando and Sanchez-Pi, Nayat},
year = 2012,
booktitle = {Modern Advances in Intelligent Systems and Tools},
publisher = {Springer Berlin Heidelberg},
series = {Studies in Computational Intelligence},
volume = 431,
pages = {9--18},
doi = {10.1007/978-3-642-30732-4_2},
isbn = {978-3-642-30731-7},
url = {http://dx.doi.org/10.1007/978-3-642-30732-4_2},
editor = {Ding, Wei and Jiang, He and Ali, Moonis and Li, Mingchu},
keywords = {emergency situations; alarm management; multi-agent systems; oil industry}
}
  • [DOI] A. C. Bicharra Garcia, L. A. Leme Paes, F. Pinto, and N. Sanchez-Pi, “MAS for Alarm Management System in Emergencies,” in Advances in Artificial Intelligence: 13th Ibero-American Conference on AI (IBERAMIA 2012), J. Pavón, N. D. Duque-Méndez, and R. Fuentes-Fernández, Eds., Berlin, Heidelberg: Springer, 2012, vol. 7637, p. 712–721.
    [Bibtex] 
    @incollection{DBLP:conf/iberamia/GarciaLPP12,
title = {{MAS} for Alarm Management System in Emergencies},
author = {Bicharra Garcia, Ana Cristina and Leme Paes, Luiz Andr\'{e} and Pinto, Fernando and Sanchez-Pi, Nayat},
year = 2012,
month = 11,
booktitle = {Advances in Artificial Intelligence: 13th Ibero-American Conference on AI (IBERAMIA 2012)},
location = {Cartagena de Indias, Colombia},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = 7637,
pages = {712--721},
doi = {10.1007/978-3-642-34654-5_72},
isbn = {978-3-642-34654-5},
editor = {Juan Pav\'{o}n and N\'{e}stor D. Duque-M\'{e}ndez and Rub\'{e}n Fuentes-Fern\'{a}ndez},
abstract = {Due to the imminent danger involved in the petroleum operation domain, only well trained workers are allowed to operate in offshore oil process plants. Although their vast experience, human errors may happen during emergency situations as a result of the overwhelmed amount of information generated by a great deal of triggered alarms. Alarm devices have become very cheap leading petroleum equipment manufacturers to overuse them transferring safety responsibility to operators. Not rarely, accident reports cite poor operators' understanding of the actual plant status due to too many active alarms. In this paper, we present an alarm management system focused on guiding offshore platform operators' attention to the essential information that calls for immediate action during emergency situations. We use a multi-agent based approach as the basis of our alarm management system for assisting operators to make sense of alarm avalanche scenarios.},
address = {Berlin, Heidelberg}
}
  • A. C. Bicharra Garcia, N. Sanchez-Pi, L. Correia, and J. M. Molina López, “Multiagent simulations for emergency situations in buildings,” in Proceedings of ISCIF (Intelligent systems for context-based information fusion) – IBERAMIA 2012, Cartagena de Indias, Colombia, 2012, p. 1–16.
    [Bibtex] 
    @inproceedings{iscif-2013,
title = {Multiagent simulations for emergency situations in buildings},
author = {Bicharra Garcia, Ana Cristina and Sanchez-Pi, Nayat and Correia, Lu\'{i}s and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2012,
booktitle = {Proceedings of ISCIF (Intelligent systems for context-based information fusion) - IBERAMIA 2012},
address = {Cartagena de Indias, Colombia},
pages = {1--16},
url = {http://hdl.handle.net/10016/18826}
}
  • [DOI] N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “A knowledge-based system approach for a context-aware system,” Knowledge-Based Systems, vol. 27, p. 1–17, 2012.
    [Bibtex] 
    @article{sanchez-2012:know,
title = {A knowledge-based system approach for a context-aware system},
author = {Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2012,
journal = {Knowledge-Based Systems},
volume = 27,
number = {0},
pages = {1--17},
doi = {10.1016/j.knosys.2011.08.017},
issn = {0950-7051},
url = {http://www.sciencedirect.com/science/article/pii/S0950705111001961},
abstract = {Knowledge-based systems (KBS) are advanced systems for representing complex problems. Their architecture and representation formalisms are the groundwork of today's systems. The knowledge is usually derived from expertise in specific areas and has to be validated according to a different methodology than is used in conventional systems because the knowledge is symbolic. This paper describes the design, definition and evaluation of a knowledge-based system using the CommonKADS (CKADS) methodology to formally represent contextual information for the Appear platform. We also evaluate the context-aware information system from the user's point of view using a U2E system and also validate it through a simulated example in a realistic environment: an airport domain, which is a significant step towards formally building KBS applications.},
date-added = {2013-08-31 20:36:48 +0000},
date-modified = {2013-08-31 20:36:48 +0000},
keywords = {Evaluation},
bdsk-url-1 = {http://www.sciencedirect.com/science/article/pii/S0950705111001961},
bdsk-url-2 = {http://dx.doi.org/10.1016/j.knosys.2011.08.017}
}
  • [DOI] N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “An Evaluation Method for Context-Aware Systems in U-Health,” in Ambient Intelligence – Software and Applications, P. Novais, K. Hallenborg, D. I. Tapia, and J. M. Corchado Rodríguez, Eds., Springer Berlin Heidelberg, 2012, vol. 153, p. 219–226.
    [Bibtex] 
    @incollection{sanchezpi-2012,
title = {An Evaluation Method for Context-Aware Systems in U-Health},
author = {Sanchez-Pi, Nayat and Carb\'{o}, Javier and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2012,
booktitle = {Ambient Intelligence - Software and Applications},
publisher = {Springer Berlin Heidelberg},
series = {Advances in Intelligent and Soft Computing},
volume = 153,
pages = {219--226},
doi = {10.1007/978-3-642-28783-1_28},
isbn = {978-3-642-28782-4},
url = {http://dx.doi.org/10.1007/978-3-642-28783-1_28},
editor = {Novais, Paulo and Hallenborg, Kasper and Tapia, Dante I. and Corchado Rodr\'{i}guez, Juan M.},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-28783-1_28}
}

2011

  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Indicator-based MONEDA: A Comparative Study of Scalability with Respect to Decision Space Dimensions,” in 2011 IEEE Conference on Evolutionary Computation (CEC), Piscataway, New Jersey, 2011, p. 957–964.
    [Bibtex] 
    @inproceedings{marti-2011:indicator-moneda,
title = {Indicator-based {MONEDA}: {A} Comparative Study of Scalability with Respect to Decision Space Dimensions},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2011,
booktitle = {2011 IEEE Conference on Evolutionary Computation (CEC)},
location = {New Orleans, Louisiana},
publisher = {IEEE Press},
address = {Piscataway, New Jersey},
pages = {957--964},
doi = {10.1109/CEC.2011.5949721},
abstract = {The multi-objective neural EDA (MONEDA) was proposed with the aim of overcoming some difficulties of current MOEDAs. MONEDA has been shown to yield relevant results when confronted with complex problems. Furthermore, its performance has been shown to adequately adapt to problems with many objectives. Nevertheless, one key issue remains to be studied: MONEDA scalability with regard to the number of decision variables. This paper has a two-fold purpose. On one hand we propose a modification of MONEDA that incorporates an indicator-based selection mechanism based on the HypE algorithm, while, on the other, we assess the indicator-based MONEDA when solving some complex two-objective problems, in particular problems UF1 to UF7 of the CEC 2009 MOP competition, configured with a progressively-increasing number of decision variables.}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study,” in Learning and Intelligent Optimization, C. A. Coello Coello, Ed., Berlin/Heidelberg: Springer, 2011, vol. 6683, p. 458–472.
    [Bibtex] 
    @incollection{marti-2011:marteda-lion,
title = {Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: {A} Comparative Study},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2011,
booktitle = {Learning and Intelligent Optimization},
publisher = {Springer},
address = {Berlin/Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 6683,
pages = {458--472},
doi = {10.1007/978-3-642-25566-3_36},
isbn = {978-3-642-25565-6},
abstract = {The introduction of learning to the search mechanisms of optimization algorithms has been nominated as one of the viable approaches when dealing with complex optimization problems, in particular with multi-objective ones. One of the forms of carrying out this hybridization process is by using multi-objective optimization estimation of distribution algorithms (MOEDAs). However, it has been pointed out that current MOEDAs have a intrinsic shortcoming in their model-building algorithms that hamper their performance. In this work we argue that error-based learning, the class of learning most commonly used in MOEDAs is responsible for current MOEDA underachievement. We present adaptive resonance theory (ART) as a suitable learning paradigm alternative and present a novel algorithm called multi-objective ART-based EDA (MARTEDA) that uses a Gaussian ART neural network for model-building and an hypervolume-based selector as described for the HypE algorithm. In order to assert the improvement obtained by combining two cutting-edge approaches to optimization an extensive set of experiments are carried out. These experiments also test the scalability of MARTEDA as the number of objective functions increases.},
affiliation = {Group of Applied Artificial Intelligence, Universidad Carlos III de Madrid, Av. de la Universidad Carlos III, 22. Colmenarejo, Madrid, 28270 Spain},
editor = {Coello Coello, Carlos A.},
keyword = {Computer Science}
}
  • [DOI] L. Martí, J. García, A. Berlanga, C. Coello Coello, and J. M. Molina, “MB-GNG: Addressing Drawbacks in Multi-Objective Optimization Estimation of Distribution Algorithms,” Operations Research Letters, vol. 39, iss. 2, p. 150–154, 2011.
    [Bibtex] 
    @article{marti-2011:mb-gng-orl,
title = {{MB-GNG}: {A}ddressing Drawbacks in Multi-Objective Optimization Estimation of Distribution Algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Coello Coello, Carlos~A. and Molina, Jos\'{e} Manuel},
year = 2011,
journal = {Operations Research Letters},
volume = 39,
number = 2,
pages = {150--154},
doi = {10.1016/j.orl.2011.01.002},
issn = {0167-6377},
abstract = {We examine the model-building issue related to multi-objective estimation of distribution algorithms (MOEDAs) and show that some of their, as yet overlooked, characteristics render most current \{MOEDAs\} unviable when addressing optimization problems with many objectives. We propose a novel model-building growing neural gas (MB-GNG) network that is specially devised for properly dealing with that issue and therefore yields a better performance. Experiments are conducted in order to show from an empirical point of view the advantages of the new algorithm.}
}
  • N. Sanchez-Pi, E. Mangina, J. Carbó, and J. M. Molina López, “A Utility-Based Adaptation Approach for an AmI (Ambient Intelligence) Environment,” International Journal of Artificial Intelligence, vol. 6, iss. S11, p. 100–111, 2011.
    [Bibtex] 
    @article{Sanchez-Pi-IJAI2011,
title = {A Utility-Based Adaptation Approach for an {AmI} (Ambient Intelligence) Environment},
author = {Nayat Sanchez-Pi and Eleni Mangina and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2011,
journal = {International Journal of Artificial Intelligence},
volume = 6,
number = {S11},
pages = {100--111},
issn = {0974-0635},
url = {http://ceser.in/ceserp/index.php/ijai/article/view/918},
abstract = {Evaluation and adaptation are two open research lines in the field of mobile computing. Due to highly dynamism of the nowadays environments, the software agents running on these complex environments have to face problems of adaptation to user needs. That means that the initial states that prompt the software's decision making process in the first place may dynamically change while the decision making process is still going on just because the user's opinion. So to cope with these problems, such systems should be able to acquire user's opinion and also self-adapt according to it. That is why there is a need of special kind of system that will combine ubiquity, context-awareness, intelligence, natural interaction and adaptation in an AmI environment. Research in context-aware systems has been moving towards reusable and adaptable architectures for managing more advanced human-computer interfaces. In this paper, we assume that the adaptation decisions are taken with the goal of maximizing the user benefit of the applications or services. We estimate their QoS by using the U2E system developed in previous work and finally propose a methodology for service adaptation},
date-added = {2013-08-31 20:36:48 +0000},
date-modified = {2013-08-31 20:36:48 +0000},
keywords = {utility function, ambient intelligence, evaluation},
bdsk-url-1 = {http://ceser.in/ceserp/index.php/ijai/article/view/918}
}
  • [DOI] D. Griol, N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “An Agent-Based Dialog Simulation Technique to Develop and Evaluate Conversational Agents,” in Advances on Practical Applications of Agents and Multiagent Systems, Y. Demazeau, M. Pechoucek, J. Corchado, and J. Pérez, Eds., Springer Berlin / Heidelberg, 2011, vol. 88, p. 255–264.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-19875-5_33,
title = {An Agent-Based Dialog Simulation Technique to Develop and Evaluate Conversational Agents},
author = {David Griol and Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2011,
booktitle = {Advances on Practical Applications of Agents and Multiagent Systems},
publisher = {Springer Berlin / Heidelberg},
series = {Advances in Intelligent and Soft Computing},
volume = 88,
pages = {255--264},
doi = {10.1007/978-3-642-19875-5_33},
isbn = {978-3-642-19874-8},
abstract = {In this paper, we present an agent-based dialog simulation technique for learning new dialog strategies and evaluate conversational agents. Using this technique the effort necessary to acquire data required to train the dialog model and then explore new dialog strategies is considerably reduced. A set of measures has also been defined to evaluate the dialog strategy that is automatically learned and compare different dialog corpora. We have applied this technique to explore the space of possible dialog strategies and evaluate the dialogs acquired for a conversational agent that collects monitored data from patients suffering from diabetes.},
affiliation = {Group of Applied Artificial Intelligence (GIAA), Computer Science Department, Carlos III University of Madrid, Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Demazeau, Yves and Pechoucek, Michal and Corchado, Juan and P\'{e}rez, Javier},
keyword = {Engineering},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-19875-5_33}
}
  • [DOI] N. Sanchez-Pi, D. Griol, J. Carbó, and J. M. Molina López, “Evaluating Interaction of MAS Providing Context-Aware Services,” in Agent and Multi-Agent Systems: Technologies and Applications, J. O’Shea, N. Nguyen, K. Crockett, R. Howlett, and L. Jain, Eds., Springer Berlin / Heidelberg, 2011, vol. 6682, p. 373–382.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-22000-5_39,
title = {Evaluating Interaction of MAS Providing Context-Aware Services},
author = {Nayat Sanchez-Pi and David Griol and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2011,
booktitle = {Agent and Multi-Agent Systems: Technologies and Applications},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 6682,
pages = {373--382},
doi = {10.1007/978-3-642-22000-5_39},
isbn = {978-3-642-21999-3},
abstract = {Much effort has been spent on suggesting and implementing new architectures of MAS to specific domains. Often each new architecture is not even compared to any existing architectures in order to evaluate their potential benefits. The evaluation of Multi-Agent Systems (MAS) is a complex problem and it does not have a single form. The present work follows the research line of considering the agent interaction as the main evaluation criteria, the most important characteristic of any complex software as autonomous agents according to [9]. So, in this paper, we have suggested an assignment of evaluation values to Agents interaction in an specific MAS architecture for providing context services by means of conversational agents. This evaluation is mainly based on the relevance of the messages content brought by an interaction. For dependant nature of the relevance of the messages, the valuation has to be adhoc, but our paper provides an example of how interesting is this alternative in order to evaluate any MAS architecture theoretically.},
affiliation = {Carlos III University of Madrid, Avda de la Universidad Carlos III, 22. Colmenarejo., Madrid, Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {O'Shea, James and Nguyen, Ngoc and Crockett, Keeley and Howlett, Robert and Jain, Lakhmi},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-22000-5_39}
}
  • [DOI] T. Wagner, H. Trautmann, and L. Martí, “A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms,” in 6th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2011), Berlin/Heidelberg, 2011, p. 16–30.
    [Bibtex] 
    @inproceedings{wagner-2011:tax,
title = {A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms},
author = {Wagner, Tobias and Trautmann, Heike and Mart\'{i}, Luis},
year = 2011,
booktitle = {6th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2011)},
location = {Ouro Preto (MG) Brazil},
publisher = {Springer},
address = {Berlin/Heidelberg},
volume = 6576,
pages = {16--30},
doi = {10.1007/978-3-642-19893-9_2},
isbn = {978-3-642-19892-2},
abstract = {The use of multi-objective evolutionary algorithms for solving black-box problems with multiple conflicting objectives has become an important research area. However, when no gradient information is available, the examination of formal convergence or optimality criteria is often impossible. Thus, sophisticated heuristic online stopping criteria (OSC) have recently become subject of intensive research. In order to establish formal guidelines for a systematic research, we present a taxonomy of OSC in this paper. We integrate the known approaches within the taxonomy and discuss them by extracting their building blocks. The formal structure of the taxonomy is used as a basis for the implementation of a comprehensive MATLAB toolbox. Both contributions, the formal taxonomy and the MATLAB implementation, provide a framework for the analysis and evaluation of existing and new OSC approaches.},
editor = {Takahashi, Ricardo H. C. and Kalyanmoy Deb and Wanner, Elizabeth F. and Salvatore Greco},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-19893-9_2}
}

2010

  • [DOI] J. L. Guerrero, L. Martí, J. García, A. Berlanga, and J. M. Molina, “Introducing a Robust and Efficient Stopping Criterion for MOEAs,” in 2010 IEEE Conference on Evolutionary Computation (CEC), part of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Piscataway, New Jersey, 2010.
    [Bibtex] 
    @inproceedings{guerrero-2010:lssc,
title = {Introducing a Robust and Efficient Stopping Criterion for {MOEAs}},
author = {Guerrero, Jos\'{e} Luis and Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2010,
booktitle = {2010 IEEE Conference on Evolutionary Computation (CEC), part of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010)},
location = {Barcelona, Spain},
publisher = {IEEE Press},
address = {Piscataway, New Jersey},
doi = {10.1109/CEC.2010.5586265},
abstract = {Soft computing methods, and Multi-Objective Evolutionary Algorithms (MOEAs) in particular, lack a general convergence criterion which prevents these algorithms from detecting the generation where further evolution will provide little improvements (or none at all) over the current solution, making them waste computational resources. This paper presents the Least Squares Stopping Criterion (LSSC), an easily configurable and implementable, robust and efficient stopping criterion, based on simple statistical parameters and residue analysis, which tries to introduce as few setup parameters as possible, being them always related to the MOEAs research field rather than the techniques applied by the criterion.},
date-modified = {2010-12-22 23:49:03 +0100},
file = {:papers:guerrero-cec-2010.pdf},
bdsk-url-1 = {http://dx.doi.org/10.1109/CEC.2010.5586265}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms,” in Applications of Evolutionary Computation, 2010, p. 512–521.
    [Bibtex] 
    @inproceedings{marti-2010:advancing-model-building,
title = {Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2010,
booktitle = {Applications of Evolutionary Computation},
location = {Heidelberg/Berlin},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = 6024,
pages = {512--521},
doi = {10.1007/978-3-642-12239-2_53},
isbn = {978-3-642-12238-5},
url = {http://www.springerlink.com/content/cg4nu92878524r23/},
date-modified = {2010-12-22 23:46:47 +0100},
editor = {Chio, Cecilia Di and Cagnoni, Stefano and Cotta, Carlos and Ebner, Marc and Ek\'{a}rt, Anik\'{o} and Esparcia-Alcazar, Anna I. and Goh, Chi-Keong and Merelo, Juan J. and Neri, Ferrante and Preu{\ss}, Mike and Togelius, Julian and Yannakakis, Georgios N.},
bdsk-url-1 = {http://www.springerlink.com/content/cg4nu92878524r23/},
bdsk-url-2 = {http://dx.doi.org/10.1007/978-3-642-12239-2_53}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Moving away from error-based learning in multi-objective estimation of distribution algorithms,” in GECCO’10: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA, 2010, p. 545–546.
    [Bibtex] 
    @inproceedings{marti-2010:marteda,
title = {Moving away from error-based learning in multi-objective estimation of distribution algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2010,
booktitle = {GECCO'10: Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation},
location = {Portland, Oregon, USA},
publisher = {ACM Press},
address = {New York, NY, USA},
pages = {545--546},
doi = {10.1145/1830483.1830585},
isbn = {978-1-4503-0072-8},
url = {http://doi.acm.org/10.1145/1830483.1830585},
date-modified = {2010-12-22 23:45:42 +0100},
editor = {Branke, J. and Alba, E. and Arnold, D. and Bongard, J. and Brabazon, A. and Butz, M.~V. and Clune, J. and Cohen, M. and Deb, K. and Engelbrecht, A. and Krasnogor, N. and Miller, J.F. and O'Neill, M. and Sastry, K. and Thierens, D. and Vanneschi, L. and van Hemert, J. and Witt, C.},
bdsk-url-1 = {http://doi.acm.org/10.1145/1830483.1830585},
bdsk-url-2 = {http://dx.doi.org/10.1145/1830483.1830585}
}
  • L. Martí, J. García, A. Berlanga, C. Coello Coello, and J. M. Molina, “On Current Model-Building Methods for Multi-Objective Estimation of Distribution Algorithms: Shortcommings and Directions for Improvement,” Grupo de Inteligencia Artificial Aplicada, Universidad Carlos III de Madrid, Colmenarejo, Spain, GIAA2010E001, 2010.
    [Bibtex] 
    @techreport{marti-2010:model-building-tr,
title = {On Current Model-Building Methods for Multi-Objective Estimation of Distribution Algorithms: Shortcommings and Directions for Improvement},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Coello Coello, Carlos~A. and Molina, Jos\'{e} Manuel},
year = 2010,
address = {Colmenarejo, Spain},
number = {GIAA2010E001},
url = {http://www.giaa.inf.uc3m.es/miembros/lmarti/model-building},
date-modified = {2010-12-22 23:46:11 +0100},
institution = {Grupo de Inteligencia Artificial Aplicada, Universidad Carlos III de Madrid},
bdsk-url-1 = {http://www.giaa.inf.uc3m.es/miembros/lmarti/model-building}
}
  • L. Martí, J. García, A. Berlanga, and J. M. Molina, “MONEDA: Scalable Multi-Objective Optimization with a Neural Network-based Estimation of Distribution Algorithm,” Grupo de Inteligencia Artificial Aplicada, Universidad Carlos III de Madrid, Colmenarejo, Spain, GIAA2010E002, 2010.
    [Bibtex] 
    @techreport{marti-2010:moneda-tr,
title = {{MONEDA}: {S}calable Multi-Objective Optimization with a Neural Network-based Estimation of Distribution Algorithm},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2010,
address = {Colmenarejo, Spain},
number = {GIAA2010E002},
url = {http://www.giaa.inf.uc3m.es/miembros/lmarti/moneda},
institution = {Grupo de Inteligencia Artificial Aplicada, Universidad Carlos III de Madrid},
bdsk-url-1 = {http://www.giaa.inf.uc3m.es/miembros/lmarti/moneda}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “A Progress Indicator for Detecting Success and Failure in Evolutionary Multi–Objective Optimization,” in 2010 IEEE Conference on Evolutionary Computation (CEC), part of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Piscataway, New Jersey, 2010.
    [Bibtex] 
    @inproceedings{marti-2010:stability,
title = {A Progress Indicator for Detecting Success and Failure in Evolutionary Multi--Objective Optimization},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2010,
booktitle = {2010 IEEE Conference on Evolutionary Computation (CEC), part of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010)},
location = {Barcelona, Spain},
publisher = {IEEE Press},
address = {Piscataway, New Jersey},
doi = {10.1109/CEC.2010.5586352},
abstract = {In this work we present a novel progress indicator, called fitness homogeneity indicator (FHI). This indicator improves the other previously discussed indicators as it takes into account all possible processes taking place in the population while not requiring an intensive computation as it relies on the fitness values calculated for the individuals. It is also capable of equally detecting success and failure scenarios, hopefully making an early detection of the second case.},
date-modified = {2010-12-22 23:48:04 +0100},
file = {:papers:marti-cec-2010.pdf},
bdsk-url-1 = {http://dx.doi.org/10.1109/CEC.2010.5586352}
}
  • [DOI] N. Sanchez-Pi and J. M. Molina López, “A Multi-Agent Approach for the Provisioning of e-Services in u-Commerce Environment,” Internet Research, vol. 20, iss. 3, p. 276–295, 2010.
    [Bibtex] 
    @article{sanchez-internet,
title = {A Multi-Agent Approach for the Provisioning of e-Services in u-Commerce Environment},
author = {Nayat Sanchez-Pi and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2010,
journal = {Internet Research},
volume = 20,
number = 3,
pages = {276--295},
doi = {10.1108/10662241011050713},
issn = {1066-2243},
date-added = {2013-08-31 20:36:48 +0000},
date-modified = {2013-08-31 20:36:48 +0000},
bdsk-url-1 = {http://dx.doi.org/10.1108/10662241011050713}
}
  • [DOI] N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “Analysis and Design of a Multi-Agent System Using GAIA Methodology in an Airport Case of Use,” Inteligencia Artificial –- Revista Iberoamericana de Inteligencia Artificial, iss. 45, p. 9–17, 2010.
    [Bibtex] 
    @article{sanchez2010analysis,
title = {Analysis and Design of a Multi-Agent System Using {GAIA} Methodology in an Airport Case of Use},
author = {Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2010,
journal = {Inteligencia Artificial --- Revista Iberoamericana de Inteligencia Artificial},
publisher = {Asociaci\'{o}n Espa{\~n}ola para la Inteligencia Artificial},
number = 45,
pages = {9--17},
doi = {10.4114/ia.v14i45.1070},
url = {http://redalyc.uaemex.mx/redalyc/pdf/925/92513106003.pdf},
date-added = {2013-08-31 20:36:48 +0000},
date-modified = {2013-08-31 20:36:48 +0000},
bdsk-url-1 = {http://redalyc.uaemex.mx/redalyc/pdf/925/92513106003.pdf}
}
  • [DOI] D. Griol, N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “An Architecture for the Design of Context-Aware Conversational Agents,” in Advances in Practical Applications of Agents and Multiagent Systems, Y. Demazeau, F. Dignum, J. Corchado, and J. Pérez, Eds., Springer Berlin / Heidelberg, 2010, vol. 70, p. 41–46.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-12384-9_6,
title = {An Architecture for the Design of Context-Aware Conversational Agents},
author = {David Griol and Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2010,
booktitle = {Advances in Practical Applications of Agents and Multiagent Systems},
publisher = {Springer Berlin / Heidelberg},
series = {Advances in Intelligent and Soft Computing},
volume = 70,
pages = {41--46},
doi = {10.1007/978-3-642-12384-9_6},
isbn = {978-3-642-12383-2},
abstract = {In this paper, we present a architecture for the development of conversational agents that provide a personalized service to the user. The different agents included in our architecture facilitate an adapted service by taking into account context information and users specific requirements and preferences. This functionality is achieved by means of the introduction of a context manager and the definition of user profiles. We describe the main characteristics of our architecture and its application to develop and evaluate an information system for an academic domain.},
affiliation = {Carlos III University of Madrid Group of Applied Artificial Intelligence (GIAA), Computer Science Department},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Demazeau, Yves and Dignum, Frank and Corchado, Juan and P\'{e}rez, Javier},
keyword = {Engineering},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-12384-9_6}
}
  • [DOI] N. Sanchez-Pi, E. Mangina, J. Carbó, and J. M. Molina López, “Multi-Agent System (MAS) Applications in Ambient Intelligence (AmI) Environments,” in Trends in Practical Applications of Agents and Multiagent Systems, Y. Demazeau, F. Dignum, J. Corchado, J. Bajo, R. Corchuelo, E. Corchado, F. Fernández-Riverola, V. Julián, P. Pawlewski, and A. Campbell, Eds., Springer Berlin / Heidelberg, 2010, vol. 71, p. 493–500.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-12433-4_58,
title = {Multi-Agent System ({MAS}) Applications in Ambient Intelligence (AmI) Environments},
author = {Nayat Sanchez-Pi and Eleni Mangina and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2010,
booktitle = {Trends in Practical Applications of Agents and Multiagent Systems},
publisher = {Springer Berlin / Heidelberg},
series = {Advances in Intelligent and Soft Computing},
volume = 71,
pages = {493--500},
doi = {10.1007/978-3-642-12433-4_58},
isbn = {978-3-642-12432-7},
abstract = {Research in context-aware systems has been moving towards reusable and adaptable architectures for managing more advanced human-computer interfaces. Ambient. Intelligence (AmI) investigates computer-based services, which are ubiquitous and based on a variety of objects and devices. Their intelligent and intuitive interfaces act as mediators through which people can interact with the ambient environment. In this paper we present an agent-based architecture which supports the execution of agents in AmI environments. Two case studies are also presented, an airport information system and a railway information system, which uses spoken conversational agents to respond to the user's requests using the contextual information that includes the location information of the user.},
affiliation = {Carlos III University of Madrid Computer Science Department Avda de la Universidad Carlos III, 22 28270 Colmenarejo Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Demazeau, Yves and Dignum, Frank and Corchado, Juan and Bajo, Javier and Corchuelo, Rafael and Corchado, Emilio and Fern\'{a}ndez-Riverola, Florentino and Juli\'{a}n, Vicente and Pawlewski, Pawel and Campbell, Andrew},
keyword = {Engineering},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-12433-4_58}
}
  • [DOI] D. Griol, N. Sanchez-Pi, J. Carbó, and J. Molina López, “An Architecture to Provide Context-Aware Services by Means of Conversational Agents,” in 7th International Symposium on Distributed Computing and Artificial Intelligence (DCAI), A. de Leon F. de Carvalho, S. Rodríguez-González, J. De Paz Santana, and J. Rodríguez, Eds., Springer Berlin / Heidelberg, 2010, vol. 79, p. 275–282.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-14883-5_36,
title = {An Architecture to Provide Context-Aware Services by Means of Conversational Agents},
author = {Griol, David and Sanchez-Pi, Nayat and Carb\'{o}, Javier and Molina L\'{o}pez, Jos\'{e}},
year = 2010,
booktitle = {7th International Symposium on Distributed Computing and Artificial Intelligence (DCAI)},
publisher = {Springer Berlin / Heidelberg},
series = {Advances in Intelligent and Soft Computing},
volume = 79,
pages = {275--282},
doi = {10.1007/978-3-642-14883-5_36},
isbn = {978-3-642-14882-8},
abstract = {In human-human interaction, a great deal of information is conveyed without explicit communication. This context information characterizes the situation of the different entities involved in the communication process (users, place, environment and computational objects). In this paper, we present an agent-based architecture that incorporates this valuable information to provide the most adapted service to the user. One of the main characteristics of our proposal is the incorporation of conversational agents handling different domains and adapted taking into account the different users requirements and preferences by means of a context manager. This way, we ensure a natural communication between the user and the system to provide a personalized service. The implementation of our proposed architecture to develop and evaluate a context-aware railway information system is also described.},
affiliation = {Group of Applied Artificial Intelligence (GIAA), Computer Science Department, Carlos III University of Madrid, Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2021-07-18 10:50:56 -0400},
editor = {de Leon F. de Carvalho, Andre and Rodr\'{i}guez-Gonz\'{a}lez, Sara and De Paz Santana, Juan and Rodr\'{i}guez, Juan},
keyword = {Engineering},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-14883-5_36}
}
  • [DOI] N. Sanchez-Pi and J. M. Molina López, “Adaptation of an Evaluation System for e-Health Environments,” in Knowledge-Based and Intelligent Information and Engineering Systems, R. Setchi, I. Jordanov, R. Howlett, and L. Jain, Eds., Springer Berlin / Heidelberg, 2010, vol. 6279, p. 357–364.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-15384-6_38,
title = {Adaptation of an Evaluation System for e-Health Environments},
author = {Nayat Sanchez-Pi and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2010,
booktitle = {Knowledge-Based and Intelligent Information and Engineering Systems},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 6279,
pages = {357--364},
doi = {10.1007/978-3-642-15384-6_38},
isbn = {978-3-642-15383-9},
affiliation = {Carlos III University of Madrid, Avda de la Universidad Carlos III, 22. 28270, Madrid, Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Setchi, Rossitza and Jordanov, Ivan and Howlett, Robert and Jain, Lakhmi},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-15384-6_38}
}
  • [DOI] V. Fuentes, N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “Designing a Distributed Context-Aware Multi-Agent System,” in Agent-Based Ubiquitous Computing, I. Khalil, Ed., Atlantis Press, 2010, vol. 1, p. 117–130.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-94-91216-31-2_7,
title = {Designing a Distributed Context-Aware Multi-Agent System},
author = {Virginia Fuentes and Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2010,
booktitle = {Agent-Based Ubiquitous Computing},
publisher = {Atlantis Press},
series = {Atlantis Ambient and Pervasive Intelligence},
volume = 1,
pages = {117--130},
doi = {10.1007/978-94-91216-31-2_7},
isbn = {978-94-91216-31-2},
abstract = {Instability, complexity and chaotic behavior are distinguishing features of financial markets. As a result, financial analysis has greatly benefited from the application of concepts and tools from nonlinear science. In addition, the need to analyze huge amounts of financial data necessitates the utilization of computer-intensive methods. This chapter aims to provide an overview of the diverse research domains, in financial analysis, where nonlinear science, combined with computational intelligence, could find application.},
affiliation = {Computer Science Department Applied Artificial Intelligence Group (GIAA), University Carlos III of Madrid, Avda. Universidad Carlos III 22, 28270 Colmenarejo, Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Khalil, Ismail},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-94-91216-31-2_7}
}

2009

  • N. Sanchez-Pi, J. Carbó, and J. M. Molina, “Building a Knowledge Based System for an Airport Case of Use,” in International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), Berlin, Heidelberg, 2009, p. 739–747.
    [Bibtex] 
    @inproceedings{10.1007/978-3-540-85863-8_87,
abstract = {Knowledge based systems are advanced systems of complex problems representation. Its architecture and representation formalisms are the base of nowadays systems. The nature of the knowledge is usually derived from the experience in specific areas and its validation requires a different methodology of the one used in the conventional systems because the symbolic characteristic of the knowledge. This paper describes the design, definition and evaluation of a knowledge-based system using CommonKADS methodology in order to represent the contextual information in a formal way for a realistic environment: an airport case of use.},
address = {Berlin, Heidelberg},
author = {Sanchez-Pi, Nayat and Carb\'{o}, Javier and Molina, Jos\'{e} Manuel},
booktitle = {International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008)},
editor = {Corchado, Juan M. and Rodr{\'\i}guez, Sara and Llinas, James and Molina, Jos{\'e} M.},
isbn = {978-3-540-85863-8},
pages = {739--747},
publisher = {Springer Berlin Heidelberg},
location = {Salamanca, Spain},
title = {Building a Knowledge Based System for an Airport Case of Use},
year = {2009}
}
  • D. Griol, N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “A Context-Aware Architecture to Provide Adaptive Services by means of Spoken Dialogue Interaction,” in Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, 2009, p. 912–918.
    [Bibtex] 
    @inproceedings{DBLP:conf/icai/GriolPCM09,
title = {A Context-Aware Architecture to Provide Adaptive Services by means of Spoken Dialogue Interaction},
author = {David Griol and Sanchez-Pi, Nayat and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = {2009},
month = {7},
booktitle = {Proceedings of the 2009 International Conference on Artificial Intelligence, {ICAI} 2009},
pages = {912--918},
publisher = {{CSREA} Press},
location = {Las Vegas Nevada, USA},
editor = {Hamid R. Arabnia and David de la Fuente and Jos{\'{e}} Angel Olivas}
}
  • [DOI] D. Griol, N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “Context-Aware Approach for Orally Accessible Web Services,” in Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology – Volume 03, Washington, DC, USA, 2009, p. 171–-174.
    [Bibtex] 
    @inproceedings{Griol:2009:CAO:1632189.1632284,
title = {Context-Aware Approach for Orally Accessible Web Services},
author = {David Griol and Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2009,
booktitle = {Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
series = {WI-IAT '09},
pages = {171---174},
doi = {10.1109/WI-IAT.2009.255},
isbn = {978-0-7695-3801-3},
acmid = 1632284,
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
keywords = {Context awareness, Spoken dialogue systems, User Adaptation},
bdsk-url-1 = {http://dx.doi.org/10.1109/WI-IAT.2009.255}
}
  • [DOI] J. L. Guerrero, J. García, L. Martí, J. M. Molina, and A. Berlanga, “A Stopping Criterion Based on Kalman Estimation Techniques with Several Progress Indicators,” in GECCO’09: 11th Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA, 2009, p. 587–594.
    [Bibtex] 
    @inproceedings{guerrero-2009:stopping,
title = {A Stopping Criterion Based on {K}alman Estimation Techniques with Several Progress Indicators},
author = {Guerrero, Jos\'{e} Luis and Garc\'{i}a, Jes\'{u}s and Mart\'{i}, Luis and Molina, Jos\'{e} Manuel and Berlanga, Antonio},
year = 2009,
booktitle = {GECCO'09: 11th Annual Conference on Genetic and Evolutionary Computation},
location = {Montreal, Qu\'{e}bec, Canada},
publisher = {ACM Press},
address = {New York, NY, USA},
pages = {587--594},
doi = {10.1145/1569901.1569983},
isbn = {978-1-60558-325-9},
url = {http://portal.acm.org/citation.cfm?id=1569983},
abstract = {The need for a stopping criterion in MOEA's is a repeatedly mentioned matter in the domain of MOOP's, even though it is usually left aside as secondary, while stopping criteria are still usually based on an a-priori chosen number of maximum iterations. In this paper we want to present a stopping criterion for MOEA's based on three different indicators already present in the community. These indicators, some of which were originally designed for solution quality measuring (as a function of the distance to the optimal Pareto front), will be processed so they can be applied as part of a global criterion, based on estimation theory to achieve a cumulative evidence measure to be used in the stopping decision (by means of a Kalman filter). The implications of this cumulative evidence are analyzed, to get a problem and algorithm independent stopping criterion (for each individual indicator). Finally, the stopping criterion is presented from a data fusion perspective, using the different individual indicators' stopping criteria together, in order to get a final global stopping criterion.},
date-modified = {2010-12-22 23:41:55 +0100},
editor = {Raidl, G. and Alba, E. and Bacardit, J. and Bates Congdon, C. and Beyer, H.-G. and Birattari, M. and Blum, C. and Bosman, P.~A.~N. and Corne, D. and Cotta, C. and Di Penta, M. and Doerr, B. and Drechsler, R. and Ebner, M. and Grahl, J. and Jansen, T. and Knowles, J. and Lenaerts, T. and Middendorf, M. and Miller, J.~F. and O'Neill, M. and Poli, R. and Squillero, G. and Stanley, K. and St\"{u}tzle, T. and van Hemert, J.},
file = {:papers:guerrero-gecco-2009.pdf},
bdsk-url-1 = {http://portal.acm.org/citation.cfm?id=1569983},
bdsk-url-2 = {http://dx.doi.org/10.1145/1569901.1569983}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “On the Computational Properties of the Multi–objective Neural Estimation of Distribution Algorithms,” in Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), Berlin/Heidelberg, 2009, p. 239–251.
    [Bibtex] 
    @inproceedings{marti-2008:moneda-comp-cost,
title = {On the Computational Properties of the Multi--objective Neural Estimation of Distribution Algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2009,
booktitle = {Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)},
publisher = {Springer},
address = {Berlin/Heidelberg},
series = {Studies in Computational Intelligence},
volume = 236,
pages = {239--251},
doi = {10.1007/978-3-642-03211-0_20},
isbn = {978--3--642--03210--3},
abstract = {This paper explores the behavior of the multi-objective neural EDA (MONEDA) in terms of its computational requirements it demands and assesses how it scales when dealing with multi-objective optimization problems with relatively large amounts of objectives. In order to properly comprehend these matters other MOEDAs and MOEAs are included in the analysis. The experiments performed tested the ability of each approach to scalably solve many-objective optimization problems. The fundamental result obtained is that MONEDA is not only yields similar or better solutions when compared with other approaches but also does it with at a lower computational cost.},
date-modified = {2010-12-22 23:56:08 +0100},
editor = {Krasnogor, N. and Meli\'{a}n-Batista, B. and Moreno-P\'{e}rez, J.~A. and Moreno-Vega, J.~M. and Pelta, D.}
}
  • L. Martí, J. García, A. Berlanga, and J. M. Molina, “On the influence of outliers on the loss of population diversity of multi–objective estimation of distribution algorithms,” in Taller Latino Iberoamericano de Investigación de Operaciones, Acapulco (Gro), Mexico, 2009.
    [Bibtex] 
    @inproceedings{marti-2009:acapulco,
title = {On the influence of outliers on the loss of population diversity of multi--objective estimation of distribution algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2009,
booktitle = {Taller Latino Iberoamericano de Investigaci\'{o}n de Operaciones},
location = {Acapulco (Gro), Mexico},
publisher = {Universidad Aut\'{o}noma de Guerrero},
address = {Acapulco (Gro), Mexico},
isbn = {978-607-7760-20-7},
editor = {Sautto Vallejo, J. Maclovio and Pe\~na Galeana, Ricardo and Valdivia Noyola, Petra and Pe\~na Galeana, Norma I.}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms,” in 4th International Conference on Hybrid Artificial Intelligence (HAIS’09), Berlin/Heidelberg, 2009, p. 293–300.
    [Bibtex] 
    @inproceedings{marti-2009:eda-directions,
title = {On the Model-Building Issue of Multi-Objective Estimation of Distribution Algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2009,
booktitle = {4th International Conference on Hybrid Artificial Intelligence (HAIS'09)},
location = {Salamanca, Spain},
publisher = {Springer},
address = {Berlin/Heidelberg},
series = {Lecture Notes in Artificial Intelligence},
volume = 5572,
pages = {293--300},
doi = {10.1007/978-3-642-02319-4_35},
abstract = {It has been claimed that perhaps a paradigm shift is necessary in order to be able to deal with this scalability issue of multi-objective optimization evolutionary algorithms. Estimation of distribution algorithms are viable candidates for such task because of their adaptation and learning abilities and simplified algorithmics. Nevertheless, the extension of EDAs to the multi-objective domain have not provided a significant improvement over MOEAs. In this paper we analyze the possible causes of this underachievement and propose a set of measures that should be taken in order to overcome the current situation.},
date-modified = {2010-12-22 23:52:40 +0100},
editor = {Corchado, Emilio and Wu, Xindong and Oja, Erkki and Herrero, {\'{a}}lvaro and Baruque, Bruno}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Solving Complex High-Dimensional Problems with the Multi-Objective Neural Estimation of Distribution Algorithm,” in GECCO’09: 11th Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA, 2009, p. 619–626.
    [Bibtex] 
    @inproceedings{marti-2009:moneda-wfg,
title = {Solving Complex High-Dimensional Problems with the Multi-Objective Neural Estimation of Distribution Algorithm},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2009,
booktitle = {GECCO'09: 11th Annual Conference on Genetic and Evolutionary Computation},
location = {Montreal, Qu\'{e}bec, Canada},
publisher = {ACM Press},
address = {New York, NY, USA},
pages = {619--626},
doi = {10.1145/1569901.1569987},
isbn = {978-1-60558-325-9},
url = {http://portal.acm.org/citation.cfm?id=1569901.1569987},
abstract = {
The multi-objective optimization neural estimation of distribution algorithm (MONEDA) was devised with the purpose of dealing with the model-building issues of MOEDAs and, therefore address their scalability.
In this paper we put forward a comprehensive set of experiments that intends to compare MONEDA with similar approaches when solving complex community accepted MOPs. In particular, we deal with the Walking Fish Group scalable test problem set (WFG). These tests aim to establish the optimizing capacity of MONEDA and the consistency as an optimization method.
The fundamental conclusion of these assessment is that we provide strong evidences of the viability of MONEDA for handling hard and complex high-dimensional problems and its superior performance when compared to similar approaches. In spite of the fact that obviously further studies are necessary, these extensive experiments have provided solid ground for the use of MONEDA in more ambitious real-world applications.
},
date-modified = {2010-12-22 23:50:00 +0100},
editor = {Raidl, G. and Alba, E. and Bacardit, J. and Bates Congdon, C. and Beyer, H.-G. and Birattari, M. and Blum, C. and Bosman, P.~A.~N. and Corne, D. and Cotta, C. and Di Penta, M. and Doerr, B. and Drechsler, R. and Ebner, M. and Grahl, J. and Jansen, T. and Knowles, J. and Lenaerts, T. and Middendorf, M. and Miller, J. ~F. and O'Neill, M. and Poli, R. and Squillero, G. and Stanley, K. and St\"utzle, T. and van Hemert, J.},
file = {:papers:marti-gecco-2009.pdf},
bdsk-url-1 = {http://portal.acm.org/citation.cfm?id=1569901.1569987}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “An Approach to Stopping Criteria for Multi-Objective Optimization Evolutionary Algorithms: The MGBM Criterion,” in 2009 IEEE Conference on Evolutionary Computation (CEC 2009), Piscataway, New Jersey, 2009, p. 1263–1270.
    [Bibtex] 
    @inproceedings{marti-2009:stopping-cec,
title = {An Approach to Stopping Criteria for Multi-Objective Optimization Evolutionary Algorithms: {T}he {MGBM} Criterion},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2009,
booktitle = {2009 IEEE Conference on Evolutionary Computation (CEC 2009)},
location = {Trondheim, Norway},
publisher = {IEEE Press},
address = {Piscataway, New Jersey},
pages = {1263--1270},
doi = {10.1109/CEC.2009.4983090},
isbn = {978-1-4244-2959-2},
abstract = {In this work we put forward a comprehensive study on the design of global stopping criteria for multi-objective optimization. We describe a novel stopping criterion, denominated MGBM criterion that combines the mutual domination rate (MDR) improvement indicator with a simplified Kalman filter that is used for evidence gathering process. The MDR indicator, which is introduced along, is a special purpose solution meant for the stopping task. It is capable of gauging the progress of the optimization with a low computational cost and therefore suitable for solving complex or many-objective problems. The viability of the proposal is established by comparing it with some other possible alternatives. It should be noted that, although the criteria discussed here are meant for MOPs and MOEAs, they could be easily adapted to other softcomputing or numerical methods by substituting the local improvement metric with a suitable one.},
date-modified = {2010-12-22 23:53:43 +0100},
bdsk-url-1 = {http://dx.doi.org/10.1109/CEC.2009.4983090}
}
  • C. Fonseca, X. Gandibleux, P. Korhonen, L. Martí, B. Naujoks, L. Thiele, J. Wallenius, and E. Zitzler, “Working Group on EMO for Interactive Multiobjective Optimization (1st Round),” in Hybrid and Robust Approaches to Multiobjective Optimization, Dagstuhl, Germany, 2009.
    [Bibtex] 
    @inproceedings{marti-dag-2009,
title = {{W}orking Group on {EMO} for Interactive Multiobjective Optimization (1st Round)},
author = {Fonseca, Carlos and Gandibleux, Xavier and Korhonen, Pekka and Mart\'{i}, Luis and Naujoks, Boris and Thiele, Lothar and Wallenius, Jyrki and Zitzler, Eckart},
year = 2009,
booktitle = {Hybrid and Robust Approaches to Multiobjective Optimization},
publisher = {Schloss Dagstuhl --- Leibniz--Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
series = {Dagstuhl Seminar Proceedings},
number = {09041},
issn = {1862-4405},
url = {http://drops.dagstuhl.de/opus/volltexte/2009/2004},
date-modified = {2010-12-22 23:25:07 +0100},
editor = {Deb, Kalyanmoy and Greco, Salvatore and Miettinen, Kaisa and Zitzler, Eckart},
bdsk-url-1 = {http://drops.dagstuhl.de/opus/volltexte/2009/2004}
}
  • [DOI] N. Sanchez-Pi and J. M. Molina López, “A multi-agent platform for the provisioning of U-commerce services,” in 28th Annual Meeting of the North American Fuzzy Information Processing Society, (NAFIPS 2009), 2009, p. 1–6.
    [Bibtex] 
    @inproceedings{sanchez-multi,
title = {A multi-agent platform for the provisioning of U-commerce services},
author = {Sanchez-Pi, Nayat and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2009,
booktitle = {28th Annual Meeting of the North American Fuzzy Information Processing Society, (NAFIPS 2009)},
pages = {1--6},
doi = {10.1109/NAFIPS.2009.5156455},
abstract = {Ambient Intelligence offers significant benefits to e-commerce services, which is facilitated by the emergence of ubiquity (being available everywhere), universality (being able to operate in heterogeneous environments), uniqueness (relating services to a context such as the location) and working in unison (allowing multiple parties to work together). This type of e-commerce has been termed u-commerce. The proposal here is to adequate the designing of a multi-agent system to support u-commerce services provisioning; to propose an evaluation method for this kind of systems and finally make a review of the state of the practice of the existing reputation management systems in order to use them for this MAS supporting u-commerce.},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
bdsk-url-1 = {http://dx.doi.org/10.1109/NAFIPS.2009.5156455}
}
  • [DOI] N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “KBS in Context Aware Applications: Commercial Tools,” in Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy, J. Mira, J. Ferrández, J. Álvarez, F. de la Paz, and F. Toledo, Eds., Springer Berlin / Heidelberg, 2009, vol. 5601, p. 415–425.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-02264-7_43,
title = {{KBS} in Context Aware Applications: {C}ommercial Tools},
author = {Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2009,
booktitle = {Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 5601,
pages = {415--425},
doi = {10.1007/978-3-642-02264-7_43},
isbn = {978-3-642-02263-0},
affiliation = {Computer Science Department, Carlos III University of Madrid, Av. de la Universidad Carlos III, 22, 28270 Colmenarejo, Madrid},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Mira, Jos\'{e} and Ferr\'{a}ndez, Jos\'{e} and \'{A}lvarez, Jos\'{e} and de la Paz, F\'{e}lix and Toledo, F.},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-02264-7_43}
}
  • [DOI] N. Sanchez-Pi and J. M. Molina López, “A Smart Solution for Elders in Ambient Assisted Living,” in Bioinspired Applications in Artificial and Natural Computation, J. Mira, J. Ferrández, J. Álvarez, F. de la Paz, and F. Toledo, Eds., Springer Berlin / Heidelberg, 2009, vol. 5602, p. 95–103.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-02267-8_11,
title = {A Smart Solution for Elders in Ambient Assisted Living},
author = {Nayat Sanchez-Pi and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2009,
booktitle = {Bioinspired Applications in Artificial and Natural Computation},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 5602,
pages = {95--103},
doi = {10.1007/978-3-642-02267-8_11},
isbn = {978-3-642-02266-1},
abstract = {Ambient Assisted Living (AAL) includes assistance to carry out daily activities, health and activity monitoring, enhancing safety and security, getting access to, medical and emergency systems. Ambient home care systems (AHCS) are specially design for this purpose; they aim at minimizing the potential risks that living alone may suppose for an elder, thanks to their capability of gathering data of the user, inferring information about his activity and state, and taking decisions on it. In this paper, we present several categories of context-aware services. One related to the autonomy enhancement including services like: medication, shopping and cooking. And another which is the emergency assistant category designed for the assistance, prediction and prevention of any emergency occurred addressed to any elder and their caregivers. These services run on the top of an AHCS, which collects data from a network of environmental, health and physical sensors and then there is a context engine, customized on Appear platform that holds the inference and reasoning functionalities.},
affiliation = {Computer Science Department, Carlos III University of Madrid, Av. de la Universidad Carlos III, 22, Colmenarejo, 28270 Madrid},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Mira, Jos\'{e} and Ferr\'{a}ndez, Jos\'{e} and \'{A}lvarez, Jos\'{e} and de la Paz, F\'{e}lix and Toledo, F.},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-02267-8_11}
}
  • [DOI] N. Sanchez-Pi and J. M. Molina López, “A Centralized Approach to an Ambient Assisted Living Application: An Intelligent Home,” in Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, S. Omatu, M. Rocha, J. Bravo, F. Fernández, E. Corchado, A. Bustillo, and J. Corchado, Eds., Springer Berlin / Heidelberg, 2009, vol. 5518, p. 706–709.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-642-02481-8_106,
title = {A Centralized Approach to an Ambient Assisted Living Application: {A}n Intelligent Home},
author = {Nayat Sanchez-Pi and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2009,
booktitle = {Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 5518,
pages = {706--709},
doi = {10.1007/978-3-642-02481-8_106},
isbn = {978-3-642-02480-1},
affiliation = {Computer Science Department, Carlos III University of Madrid, Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Omatu, Sigeru and Rocha, Miguel and Bravo, Jos\'{e} and Fern\'{a}ndez, Florentino and Corchado, Emilio and Bustillo, Andr\'{e}s and Corchado, Juan},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-02481-8_106}
}

2008

  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Scalable Continuous Multiobjective Optimization with a Neural Network–Based Estimation of Distribution Algorithm,” in Applications of Evolutionary Computing, Heidelberg, 2008, p. 535–544.
    [Bibtex] 
    @inproceedings{marti-2008:evonum,
title = {Scalable Continuous Multiobjective Optimization with a Neural Network--Based Estimation of Distribution Algorithm},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2008,
booktitle = {Applications of Evolutionary Computing},
publisher = {Springer},
address = {Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 4974,
pages = {535--544},
doi = {10.1007/978-3-540-78761-7_59},
isbn = {978-3-540-78760-0},
abstract = {To achieve a substantial improvement of MOEDAs regarding MOEAs it is necessary to adapt their model building algorithm to suit this particular task. Most current model building schemes used so far off-the-shelf machine learning methods. However, the model building problem has specific requirements that those methods do not meet and even avoid. In this we work propose a novel approach to model building in MOEDAs using an algorithm custom-made for the task. We base our proposal on the growing neural gas (GNG) network. The resulting model-building GNG (MB-GNG) is capable of yielding good results when confronted to high-dimensional problems.},
editor = {Giacobini, Mario and Brabazon, Anthony and Cagnoni, Stefano and Di Caro, Gianni~A. and Drechsler, Rolf and Ek\'{a}rt, Anik\'{o} and Esparcia-Alc\'{a}zar, Anna Isabel and Farooq, Muddassar and Fink, Andreas and McCormack, Jon and O'Neill, Michael and Romero, Juan and Rothlauf, Franz and Squillero, Giovanni and Uyar, A. \c{S}ima and Yang, Shengxiang}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Model-Building Algorithms for Multiobjective EDAs: Directions for Improvement,” in 2008 IEEE Conference on Evolutionary Computation (CEC), part of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), Piscataway, New Jersey, 2008, p. 2848–2855.
    [Bibtex] 
    @inproceedings{marti-2008:model-comp,
title = {Model-Building Algorithms for Multiobjective {EDA}s: {D}irections for Improvement},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2008,
booktitle = {2008 IEEE Conference on Evolutionary Computation (CEC), part of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008)},
location = {Hong Kong, China},
publisher = {IEEE Press},
address = {Piscataway, New Jersey},
pages = {2848--2855},
doi = {10.1109/CEC.2008.4631179},
isbn = {978-1-4244-1823-7},
url = {http://ieeexplore.ieee.org/iel5/4625778/4630767/04631179.pdf?tp=&arnumber=4631179&isnumber=4630767}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “Introducing MONEDA: Scalable Multiobjective Optimization with a Neural Estimation of Distribution Algorithm,” in GECCO’08: 10th Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA, 2008, p. 689–696.
    [Bibtex] 
    @inproceedings{marti-2008:moneda,
title = {Introducing {MONEDA}: {S}calable Multiobjective Optimization with a Neural Estimation of Distribution Algorithm},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2008,
booktitle = {GECCO'08: 10th Annual Conference on Genetic and Evolutionary Computation},
location = {Atlanta (GA), USA},
publisher = {ACM Press},
address = {New York, NY, USA},
pages = {689--696},
doi = {10.1145/1389095.1389230},
isbn = {978-1-60558-131-6},
note = {EMO Track ``Best Paper'' Nominee},
abstract = {In this paper we explore the model-building issue of multiobjective optimization estimation of distribution algorithms. We argue that model-building has some characteristics that differentiate it from other machine learning tasks. A novel algorithm called multiobjective neural estimation of distribution algorithm (MONEDA) is proposed to meet those characteristics. This algorithm uses a custom version of the growing neural gas (GNG) network specially meant for the model-building task. As part of this work, MONEDA is assessed with regard to other classical and state-of-the-art evolutionary multiobjective optimizers when solving some community accepted test problems.},
editor = {Keizer, Marten and Antoniol, Giulio and Congdon, Clare and Deb, Kalyanmoy and Doerr, Benjamin and Hansen, Nikolaus and Holmes, John and Hornby, Gergory and Howard, Daniel and Kennedy, John and Kumar, Sanjeev and Lobo, Ferdinando and Miller, Julian and Moore, Jason and Neumann, Frank and Pelikan, Martin and Pollack, Jordan and Sastry, Kumara and Stanley, Ken and Stoica, Adrian and Talbi, El Ghazli and Wegener, Ingo}
}
  • N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “Analysis and Design of a Multi-Agent System Using Gaia Methodology in an Airport Case of Use,” in 7th Ibero-American Workshop in Multi-Agent Systems, in conjunction with IBERAMIA’08, 2008.
    [Bibtex] 
    @inproceedings{sancheziberagents,
title = {Analysis and Design of a Multi-Agent System Using Gaia Methodology in an Airport Case of Use},
author = {Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2008,
booktitle = {7th Ibero-American Workshop in Multi-Agent Systems, in conjunction with IBERAMIA'08},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000}
}
  • [DOI] N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “JADE/LEAP Agents in an AmI Domain,” in Hybrid Artificial Intelligence Systems, E. Corchado, A. Abraham, and W. Pedrycz, Eds., Springer Berlin / Heidelberg, 2008, vol. 5271, p. 62–69.
    [Bibtex] 
    @incollection{springerlink:10.1007/978-3-540-87656-4_9,
title = {{JADE}/{LEAP} Agents in an {AmI} Domain},
author = {Sanchez-Pi, Nayat and Carb\'{o}, Javier and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2008,
booktitle = {Hybrid Artificial Intelligence Systems},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
volume = 5271,
pages = {62--69},
doi = {10.1007/978-3-540-87656-4_9},
isbn = {978-3-540-87655-7},
abstract = {Ambient intelligence, ubiquitous computing and other new concepts related are in some sense a projection of the new wireless technologies and the mobile phenomenon where the user mobility and the communicating smart devices are immersed nowadays. In this paper, we propose a multi-agent system architecture and its implementation for the provisioning of context-aware services in an ambient intelligence domain: an airport.},
affiliation = {Carlos III University of Madrid Computer Science Department. Av. de la Universidad Carlos III 22 Madrid Spain},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Corchado, Emilio and Abraham, Ajith and Pedrycz, Witold},
keyword = {Computer Science},
bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-540-87656-4_9}
}

2007

  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms,” in GECCO’07: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation, New York, 2007, p. 911.
    [Bibtex] 
    @inproceedings{marti-2007:gecco-stopping,
title = {A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2007,
booktitle = {GECCO'07: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation},
location = {London, UK},
publisher = {ACM Press},
address = {New York},
pages = 911,
doi = {10.1145/1276958.1277141},
isbn = {978-1-59593-697-4},
url = {http://portal.acm.org/citation.cfm?doid=1276958.1277141},
abstract = {In this work we present a novel and efficient algorithm independent stopping criterion, called the MGBM criterion,suitable for Multi-objective Optimization Evolutionary Algorithms (MOEAs).The criterion, after each iteration of the optimization algorithm, gathers evidence of the improvement of the solutions obtained so far. A global (execution wise) evidence accumulation process inspired by recursive Bayesian estimation decides when the optimization should be stopped. Evidence is collected using a novel relative improvement measure constructed on top of the Pareto dominance relations. The evidence gathered after each iteration is accumulated and updated following a rule based on a simplified version of a discrete Kalman filter.Our criterion is particularly useful in complex and/or high-dimensional problems where the traditional procedure of stopping after a predefined amount of iterations cannot be used and the waste of computational resources can induce to a detriment of the quality of the results.Although the criterion discussed here is meant for MOEAs,it can be easily adapted to other soft computing or numerical methods by substituting the local improvement metric with a suitable one.},
editor = {Thierens, Dirk and Deb, Kalyanmoy and Pelikan, Martin and Beyer, Hans-Georg and Doerr, Benjamin and Poli, Riccardo and Bittari, Mauro},
bdsk-url-1 = {http://portal.acm.org/citation.cfm?doid=1276958.1277141},
bdsk-url-2 = {http://dx.doi.org/10.1145/1276958.1277141}
}
  • [DOI] L. Martí, J. García, A. Berlanga, and J. M. Molina, “A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms (extended version),” in GECCO’07: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation, New York, NY, USA, 2007, p. 2835–2842.
    [Bibtex] 
    @inproceedings{marti-2007:gecco-stopping-extended,
title = {A Cumulative Evidential Stopping Criterion for Multiobjective Optimization Evolutionary Algorithms (extended version)},
author = {Mart\'{i}, Luis and Garc\'{i}a, Jes\'{u}s and Berlanga, Antonio and Molina, Jos\'{e} Manuel},
year = 2007,
booktitle = {GECCO'07: Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation},
location = {London, United Kingdom},
publisher = {ACM},
address = {New York, NY, USA},
pages = {2835--2842},
doi = {10.1145/1274000.1274053},
isbn = {978-1-59593-698-1},
editor = {Thierens, Dirk and Deb, Kalyanmoy and Pelikan, Martin and Beyer, Hans-Georg and Doerr, Benjamin and Poli, Riccardo and Bittari, Mauro},
bdsk-url-1 = {http://dx.doi.org/10.1145/1274000.1274053}
}
  • [DOI] L. Martí, “A Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding,” in 2007 International Joint Conference on Neural Networks (IJCNN), 2007, p. 2448–2453.
    [Bibtex] 
    @inproceedings{marti-2007:vabbiart,
title = {A Hybrid Neural System based on Adaptive Resonance Theory and Representational Redescription capable of Variable Binding},
author = {Mart\'{i}, Luis},
year = 2007,
booktitle = {2007 International Joint Conference on Neural Networks (IJCNN)},
publisher = {IEEE Press},
pages = {2448--2453},
doi = {10.1109/IJCNN.2007.4371342},
issn = {1098-7576},
url = {http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4370891&arnumber=4371342&count=569&index=450},
editor = {Si, Jennie and Sun, Ron}
}
  • [DOI] N. Sanchez-Pi, V. Fuentes, J. Carbó, and J. M. Molina López, “Knowledge-based system to define context in commercial applications,” in Proc. of the 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD’07), Tsingtao, China, 2007, p. 694–699.
    [Bibtex] 
    @inproceedings{sanchez07,
title = {Knowledge-based system to define context in commercial applications},
author = {Nayat Sanchez-Pi and Virginia Fuentes and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2007,
booktitle = {Proc. of the 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'07)},
address = {Tsingtao, China},
pages = {694--699},
doi = {10.1109/SNPD.2007.394},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
bdsk-url-1 = {http://dx.doi.org/10.1109/SNPD.2007.394}
}

2006

  • V. Fuentes, N. Sanchez-Pi, J. Carbó, and J. M. Molina López, “Reputation in User Profiling for a Context-aware MultiAgent System,” in Proceedings of the 4th European Workshop on Multi-Agent Systems (EUMAS’06), 2006.
    [Bibtex] 
    @inproceedings{FuentesPCM06,
title = {Reputation in User Profiling for a Context-aware MultiAgent System},
author = {Virginia Fuentes and Nayat Sanchez-Pi and Javier Carb\'{o} and Molina L\'{o}pez, Jos\'{e} Manuel},
year = 2006,
booktitle = {Proceedings of the 4th European Workshop on Multi-Agent Systems (EUMAS'06)},
location = {Lisbon, Portugal},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
volume = 223,
url = {http://ceur-ws.org/Vol-223/18.pdf},
date-added = {2013-08-31 20:38:31 +0000},
date-modified = {2013-08-31 20:38:31 +0000},
editor = {Barbara Dunin-Keplicz and Andrea Omicini and Julian A. Padget},
bdsk-url-1 = {http://ceur-ws.org/Vol-223/18.pdf}
}
  • J. M. Molina, F. Chamorro, A. Ledezma, J. Carbó, L. Martí, Ó. Pérez, and J. García, Fundamentos de Programación (Grado Superior), Madrid: McGraw-Hill, 2006.
    [Bibtex] 
    @book{molina-et-al-2006:fpgs,
title = {Fundamentos de Programaci{\'{o}}n (Grado Superior)},
author = {Molina, Jos\'{e} Manuel and Chamorro, F\'{e}lix and Ledezma, Agapito and Carb\'{o}, Javier and Mart\'{i}, Luis and P\'{e}rez, \'{O}scar and Garc\'{i}a, Jes\'{u}s},
year = 2006,
publisher = {McGraw-Hill},
address = {Madrid},
isbn = 8448148681,
url = {http://www.mcgraw-hill.es/html/8448148681.html},
bdsk-url-1 = {http://www.mcgraw-hill.es/html/8448148681.html}
}
  • J. M. Molina, F. Chamorro, A. Ledezma, J. Carbó, L. Martí, Ó. Pérez, and J. García, Guía Didáctica: Fundamentos de Programación (Grado Superior), Madrid: McGraw–Hill, 2006.
    [Bibtex] 
    @book{molina-et-al-2006:gdfpgs,
title = {Gu\'{i}a Did{\'{a}}ctica: {F}undamentos de Programaci{\'{o}}n (Grado Superior)},
author = {Molina, Jos\'{e} Manuel and Chamorro, F\'{e}lix and Ledezma, Agapito and Carb\'{o}, Javier and Mart\'{i}, Luis and P\'{e}rez, \'{O}scar and Garc\'{i}a, Jes\'{u}s},
year = 2006,
publisher = {McGraw--Hill},
address = {Madrid},
isbn = 8448148681,
url = {http://www.mcgraw-hill.es/html/8448148681.html},
bdsk-url-1 = {http://www.mcgraw-hill.es/html/8448148681.html}
}
  • J. M. Molina, F. Chamorro, A. Ledezma, J. Carbó, L. Martí, Ó. Pérez, and J. García, Guía Didáctica: Programación en Lenguajes Estructurados (Grado Superior), Madrid: McGraw-Hill, 2006.
    [Bibtex] 
    @book{molina-et-al-2006:gdplegs,
title = {Gu\'{i}a Did{\'{a}}ctica: {P}rogramaci{\'{o}}n en Lenguajes Estructurados (Grado Superior)},
author = {Molina, Jos\'{e} Manuel and Chamorro, F\'{e}lix and Ledezma, Agapito and Carb\'{o}, Javier and Mart\'{i}, Luis and P\'{e}rez, \'{O}scar and Garc\'{i}a, Jes\'{u}s},
year = 2006,
publisher = {McGraw-Hill},
address = {Madrid},
isbn = 8448148711,
url = {http://www.mcgraw-hill.es/html/8448148711.html},
bdsk-url-1 = {http://www.mcgraw-hill.es/html/8448148711.html}
}
  • J. M. Molina, F. Chamorro, A. Ledezma, J. Carbó, L. Martí, Ó. Pérez, and J. García, Programación en Lenguajes Estructurados (Grado Superior), Madrid: McGraw-Hill, 2006.
    [Bibtex] 
    @book{molina-et-al-2006:plegs,
title = {Programaci{\'{o}}n en Lenguajes Estructurados (Grado Superior)},
author = {Molina, Jos\'{e} Manuel and Chamorro, F\'{e}lix and Ledezma, Agapito and Carb\'{o}, Javier and Mart\'{i}, Luis and P\'{e}rez, \'{O}scar and Garc\'{i}a, Jes\'{u}s},
year = 2006,
publisher = {McGraw-Hill},
address = {Madrid},
isbn = 8448148703,
url = {http://www.mcgraw-hill.es/html/8448148703.html},
bdsk-url-1 = {http://www.mcgraw-hill.es/html/8448148703.html}
}
  • [DOI] M. J. Pérez, J. García, L. Martí, and J. M. Molina, “Multi-objective Optimization Evolutionary Algorithms in Insurance Linked Derivatives,” in Handbook of Research on Nature-inspired Computing for Economics and Management, J. -P. Rennard, Ed., London: Idea Group, 2006, vol. II, p. 885–908.
    [Bibtex] 
    @incollection{perez-et-al-2006:moea-in-insurance,
title = {Multi-objective Optimization Evolutionary Algorithms in Insurance Linked Derivatives},
author = {P\'{e}rez, Mar\'{i}a Jos\'{e} and Garc\'{i}a, Jes\'{u}s and Mart\'{i}, Luis and Molina, Jos\'{e} Manuel},
year = 2006,
booktitle = {Handbook of Research on Nature-inspired Computing for Economics and Management},
publisher = {Idea Group},
address = {London},
volume = {II},
pages = {885--908},
doi = {10.4018/978-1-59140-984-7.ch057},
url = {http://www.igi-global.com/bookstore/Chapter.aspx?TitleId=21172},
abstract = {This work addresses a real-world adjustment of economic models where the application of robust and global optimization techniques is required. The problem dealt with is the search for a set of parameters to calculate the reported claim amount. Several functions are proposed to obtain the reported claim amount, and a multi-objective optimization procedure is used to obtain parameters using real data and to decide the best function to approximate the reported claim amount. Using this function, insurance companies negotiate the underlying contract-that is, the catastrophic loss ratio defined from the total reported claim amount. They are associated with catastrophes that occurred during the loss period and declared until the development period expired. The suitability of different techniques coming from evolutionary computation (EC) to solve this problem is explored, contrasting the performance achieved with recent proposals of multi-objective evolutionary algorithms (MOEAs). Results show the advantages of MOEAs in the proposal in terms of effectiveness and completeness in searching for solutions, compared with particular solutions of classical EC approaches (using an aggregation operator) in problems with real data.},
date-modified = {2010-12-23 00:06:23 +0100},
editor = {Rennard, J.-P.}
}

2004

  • L. Martí, A. Policriti, and L. García, “A Hybrid ART Neuro–fuzzy Architecture with Variable Binding,” in Proceedings of the First Cuban Artificial Intelligence Symposium, La Habana, Cuba, 2004.
    [Bibtex] 
    @inproceedings{marti-2004:hybrid-art,
title = {A Hybrid {ART} Neuro--fuzzy Architecture with Variable Binding},
author = {Mart\'{i}, Luis and Policriti, Alberto and Garc\'{i}a, Luciano},
year = 2004,
booktitle = {Proceedings of the First Cuban Artificial Intelligence Symposium},
publisher = {Universidad de las Ciencias Inform\'{a}ticas},
address = {La Habana, Cuba}
}

2003

  • L. Martí, A. Policriti, and L. García, “Redes ART híbridas para la predicción de series de tiempo,” in Resúmenes del 8vo Congreso Nacional de Matemáticas y Computación (COMPUMAT’2003), 2003.
    [Bibtex] 
    @inproceedings{marti-2003:art-series,
title = {Redes {ART} h\'{i}bridas para la predicci\'{o}n de series de tiempo},
author = {Mart\'{i}, Luis and Policriti, Alberto and Garc\'{i}a, Luciano},
year = 2003,
booktitle = {Res\'{u}menes del 8vo Congreso Nacional de Matem\'{a}ticas y Computaci\'{o}n (COMPUMAT'2003)},
publisher = {Sociedad Cubana de Matem\'{a}ticas y Computaci\'{o}n},
editor = {Garc\'{i}a, Mauro}
}
  • L. Martí, A. Policriti, and L. García, “Modelos Neurodifusos Híbridos Basados en la Teoría de Resonancia Adaptativa,” in Optimización Inteligente, G. Joya, M. ~A. Atencia, A. Ochoa, and S. Allende, Eds., Málaga: Servicio de Publicaciones de la Universidad de Málaga (SPICUM), 2003, p. 363–412.
    [Bibtex] 
    @incollection{marti-2003:malaga-book,
title = {Modelos Neurodifusos H\'{i}bridos Basados en la Teor\'{i}a de Resonancia Adaptativa},
author = {Mart\'{i}, Luis and Policriti, Alberto and Garc\'{i}a, Luciano},
year = 2003,
booktitle = {Optimizaci\'{o}n Inteligente},
publisher = {Servicio de Publicaciones de la Universidad de M\'{a}laga (SPICUM)},
address = {M\'{a}laga},
pages = {363--412},
isbn = {84-9747-034-6},
url = {http://malaka.spicum.uma.es/libro.php?idLibro=909},
editor = {Joya, Gonzalo and Atencia, M.~A. and Ochoa, Alberto and Allende, Sira}
}
  • L. Martí, A. Policriti, and L. García, “Hybrid Adaptive Resonance Theory neural networks for function approximation,” in Innovations in Intelligent Systems and Applications: Design, Management and Applications, A. Abraham, L. C. Jain, and B. J. van der Zwaag, Eds., Heidelberg: Physica–Verlag (Springer), 2003, p. 51–88.
    [Bibtex] 
    @incollection{marti-book-chapter,
title = {Hybrid Adaptive Resonance Theory neural networks for function approximation},
author = {Mart\'{i}, Luis and Policriti, Alberto and Garc\'{i}a, Luciano},
year = 2003,
booktitle = {Innovations in Intelligent Systems and Applications: Design, Management and Applications},
publisher = {Physica--Verlag (Springer)},
address = {Heidelberg},
series = {Studies in Fuzziness and Soft Computing},
pages = {51--88},
isbn = {978-3-540-20265-3},
url = {http://www.springer.com/engineering/book/978-3-540-20265-3},
editor = {Abraham, Ajith and Jain, Lakmi C. and van der Zwaag, Berend Jan},
bdsk-url-1 = {http://www.springer.com/engineering/book/978-3-540-20265-3}
}

2002

  • L. Martí, A. Policriti, and L. García, “AppART: An ART Hybrid Stable Learning Neural Network for Universal Function Approximation,” in Hybrid Information Systems, Heidelberg, 2002, p. 93–120.
    [Bibtex] 
    @inproceedings{appart-his-2002,
title = {{AppART}: {A}n {ART} Hybrid Stable Learning Neural Network for Universal Function Approximation},
author = {Mart\'{i}, Luis and Policriti, Alberto and Garc\'{i}a, Luciano},
year = 2002,
booktitle = {Hybrid Information Systems},
publisher = {Physica--Verlag},
address = {Heidelberg},
pages = {93--120},
url = {http://www.springer.com/computer/artificial/book/978-3-7908-1480-4},
editor = {Abraham, Ajith and Koeppen, Mario}
}
  • L. Martí, A. Policriti, L. García, and R. Lazo, “AppART + Growing Neural Gas = High Performance Hybrid Neural Network for Function Approximation,” in Workshop on Intelligent Knowledge Management Techniques (IKOMAT’2002), part of Knowledge-based Intelligent Information Engineering Systems & Allied Technologies (KES’2002), Amsterdam, 2002, p. 1483–1487.
    [Bibtex] 
    @inproceedings{Marti-GasART02,
title = {{AppART} + Growing Neural Gas = High Performance Hybrid Neural Network for Function Approximation},
author = {Mart\'{i}, Luis and Policriti, Alberto and Garc\'{i}a, Luciano and Lazo, Raynel},
year = 2002,
booktitle = {Workshop on Intelligent Knowledge Management Techniques (IKOMAT'2002), part of Knowledge-based Intelligent Information Engineering Systems \& Allied Technologies (KES'2002)},
publisher = {IOS Press},
address = {Amsterdam},
pages = {1483--1487},
isbn = {978-1-58603-280-7},
url = {http://www.iospress.nl/loadtop/load.php?isbn=9781586032807},
date-modified = {2009-04-30 15:56:22 +0200},
editor = {Bhattacharya, M. and Abraham, A.},
bdsk-url-1 = {http://www.iospress.nl/loadtop/load.php?isbn=9781586032807}
}

1999

  • L. Martí, M. Catasús, and L. García, “Artificial Neural Networks in Analytical Chemistry,” in CIMAF’99: International Conference Science and Technology for Development –- Adaptive Systems Symposium, 1999.
    [Bibtex] 
    @inproceedings{marti-1999:cimaf,
title = {Artificial Neural Networks in Analytical Chemistry},
author = {Luis Mart\'{i} and Miguel Catas\'{u}s and Luciano Garc\'{i}a},
year = 1999,
booktitle = {CIMAF'99: International Conference Science and Technology for Development --- Adaptive Systems Symposium}
}