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José M. Peña 0002
José-María Peña – José María Peña Sánchez
Person information
- affiliation: Technical University of Madrid (UPM), CeSViMa
Other persons with the same name
- José M. Peña 0001 (aka: José Manuel Peña 0001, Jose M. Peña 0001) — Linköping University, Department of Computer and Information Science (and 2 more)
- José M. Peña 0003
(aka: José Manuel Peña 0002, José Manuel Peñá-Barragán) — Spanish National Research Council, Institute of Agricultural Sciences, Madrid, Spain (and 1 more)
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2020 – today
- 2024
- [c59]Ivan Izonin, José M. Peña, Antonio LaTorre:
Artificial Intelligence for the Future of Construction - abstract. SMARTINDUSTRY 2024 - [i2]Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales, Riyi Shi, Antoine Jérusalem, José-María Peña:
Model calibration using a parallel differential evolution algorithm in computational neuroscience: simulation of stretch induced nerve deficit. CoRR abs/2409.12567 (2024) - [i1]Pablo S. Naharro, Pablo Toharia, Antonio LaTorre, José-María Peña:
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation. CoRR abs/2410.03409 (2024) - 2023
- [j26]Ira R. J. Hebold Haraldsen, Christoffer Hatlestad-Hall
Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol. Frontiers Neurorobotics 17 (2023) - [c58]Pablo S. Naharro
Sequential Hybridization of Online Surrogate Models for Continuous Optimization. GECCO Companion 2023: 2297-2303 - [c57]Hugo Moreno
Evolutionary-Based Generative Design for Electric Transmission Towers. ICAISC (1) 2023: 439-450 - 2022
- [j25]Pablo S. Naharro
Comparative study of regression vs pairwise models for surrogate-based heuristic optimisation. Swarm Evol. Comput. 75: 101176 (2022) - 2021
- [j24]Francisco J. Lima-Cueto, Rafael Blanco-Sepúlveda, María L. Gómez-Moreno, José Dorado
Mapping tillage direction and contour farming by object-based analysis of UAV images. Comput. Electron. Agric. 187: 106281 (2021) - [j23]Antonio LaTorre
3D segmentation of neuronal nuclei and cell-type identification using multi-channel information. Expert Syst. Appl. 183: 115443 (2021) - [c56]Pablo S. Naharro, Antonio LaTorre
Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers. GECCO Companion 2021: 15-16 - 2020
- [j22]Antonio LaTorre
Model calibration using a parallel differential evolution algorithm in computational neuroscience: Simulation of stretch induced nerve deficit. J. Comput. Sci. 39 (2020)
2010 – 2019
- 2017
- [c55]Antonio LaTorre
A comparison of three large-scale global optimizers on the CEC 2017 single objective real parameter numerical optimization benchmark. CEC 2017: 1063-1070 - [c54]Antonio LaTorre
On the scalability of population restart mechanisms on large-scale global optimization. CEC 2017: 1071-1078 - 2015
- [j21]Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul
Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics 2(1): 33-44 (2015) - [j20]Antonio LaTorre
A comprehensive comparison of large scale global optimizers. Inf. Sci. 316: 517-549 (2015) - 2014
- [j19]Santiago Muelas, Alexander Mendiburu
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? Inf. Sci. 268: 231-254 (2014) - [c53]Zaigham Faraz Siddiqui, Georg Krempl, Myra Spiliopoulou, José M. Peña, Nuria Paul
Are Some Brain Injury Patients Improving More Than Others? Brain Informatics and Health 2014: 376-387 - [c52]José María Peña Sánchez, Javier Viedma, Santiago Muelas, Antonio LaTorre
Designer-driven 3D buildings generated using Variable Neighborhood Search. CIG 2014: 1-8 - [c51]César Antonio Ortiz
3D Dendrite Spine Detection - A Supervoxel Based Approach. RSEISP 2014: 359-366 - 2013
- [j18]Santiago Muelas, Antonio LaTorre
A variable neighborhood search algorithm for the optimization of a dial-a-ride problem in a large city. Expert Syst. Appl. 40(14): 5516-5531 (2013) - [j17]Antonio LaTorre
Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images. Expert Syst. Appl. 40(16): 6521-6530 (2013) - [j16]Antonio LaTorre
Evaluating the Multiple Offspring Sampling framework on complex continuous optimization functions. Memetic Comput. 5(4): 295-309 (2013) - [c50]Antonio LaTorre
Large scale global optimization: Experimental results with MOS-based hybrid algorithms. IEEE Congress on Evolutionary Computation 2013: 2742-2749 - [c49]José María Peña Sánchez, Ernestina Menasalvas Ruiz
Soft computing for content generation: Trading market in a basketball management video game. CIG 2013: 1-8 - 2012
- [j15]Santiago Muelas, Antonio LaTorre
A new methodology for the automatic creation of adaptive hybrid algorithms. Intell. Data Anal. 16(1): 3-23 (2012) - [c48]Antonio LaTorre
Multiple Offspring Sampling in Large Scale Global Optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c47]Luís Peña, Sascha Ossowski
Learning and evolving combat game controllers. CIG 2012: 195-202 - [c46]Elena Gómez Barroso, José María Peña Sánchez, Ángel Merchán-Pérez:
Simulation of the release and diffusion of neurotransmitters in neuronal synapses: Analysis and modelling. HPCS 2012: 696-698 - [c45]Laura Fernández-Soria, José María Peña Sánchez:
3D dendritic spine automatic detection and segmentation through samples obtained by confocal microscopy. HPCS 2012: 699-702 - 2011
- [j14]Antonio LaTorre
A MOS-based dynamic memetic differential evolution algorithm for continuous optimization: a scalability test. Soft Comput. 15(11): 2187-2199 (2011) - [c44]Antonio LaTorre
Benchmarking a hybrid DE-RHC algorithm on real world problems. IEEE Congress on Evolutionary Computation 2011: 1027-1033 - [c43]Antonio LaTorre
A differential evolution algorithm for the detection of synaptic vesicles. IEEE Congress on Evolutionary Computation 2011: 1687-1694 - [c42]Luís Peña, Sascha Ossowski
EEP - A lightweight emotional model: Application to RPG video game characters. CIG 2011: 142-149 - [c41]Roberto Santana, Santiago Muelas, Antonio LaTorre
A direct optimization approach to the P300 speller. GECCO 2011: 1747-1754 - [c40]Luís Peña, José María Peña Sánchez, Sascha Ossowski
Representing Emotion and Mood States for Virtual Agents. MATES 2011: 181-188 - 2010
- [j13]José María Peña Sánchez, Evgenii Vityaev
Knowledge discovery in bioinformatics. Intell. Data Anal. 14(2): 157-158 (2010) - [j12]Guillaume Beslon
From digital genetics to knowledge discovery: Perspectives in genetic network understanding. Intell. Data Anal. 14(2): 173-191 (2010) - [j11]Santiago González, Luis Guerra, Víctor Robles
CliDaPa: A new approach to combining clinical data with DNA microarrays. Intell. Data Anal. 14(2): 207-223 (2010) - [j10]Antonio LaTorre
Learning hybridization strategies in evolutionary algorithms. Intell. Data Anal. 14(3): 333-354 (2010) - [j9]Santiago Muelas, José María Peña Sánchez, Antonio LaTorre
A new initialization procedure for the distributed estimation of distribution algorithms. Soft Comput. 15(4): 713-720 (2010) - [c39]Santiago Muelas, José María Peña Sánchez, Antonio LaTorre:
Automatically Modeling Hybrid Evolutionary Algorithms from Past Executions. EvoApplications (1) 2010: 422-431 - [c38]Antonio LaTorre
Benchmarking a MOS-based algorithm on the BBOB-2010 noiseless function testbed. GECCO (Companion) 2010: 1649-1656 - [c37]Antonio LaTorre
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed. GECCO (Companion) 2010: 1725-1730 - [c36]Jaime Fernández, Laura Fernández-Soria, Ruth Benavides-Piccione
A Model for Generating Synthetic Dendrites of Cortical Neurons. IEA/AIE (3) 2010: 129-138
2000 – 2009
- 2009
- [j8]María S. Pérez, Alberto Sánchez
An agent architecture for managing data resources in a grid environment. Future Gener. Comput. Syst. 25(7): 747-755 (2009) - [j7]Min-Ling Zhang
Feature selection for multi-label naive Bayes classification. Inf. Sci. 179(19): 3218-3229 (2009) - [c35]Antonio LaTorre
Quality measures to adapt the participation in MOS. IEEE Congress on Evolutionary Computation 2009: 888-895 - [c34]Luís Peña, Sascha Ossowski
vBattle: A new framework to simulate medium-scale battles in individual-per-individual basis. CIG 2009: 61-68 - [c33]Antonio LaTorre
Hybrid evolutionary algorithms for large scale continuous problems. GECCO 2009: 1863-1864 - [c32]Luís Peña, Antonio LaTorre
Tentative Exploration on Reinforcement Learning Algorithms for Stochastic Rewards. HAIS 2009: 336-343 - [c31]Santiago Muelas, Antonio LaTorre
A Memetic Differential Evolution Algorithm for Continuous Optimization. ISDA 2009: 1080-1084 - [c30]Santiago González, Víctor Robles, José María Peña Sánchez, Óscar Cubo
EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer. IWANN (2) 2009: 979-987 - 2008
- [c29]Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre:
Voronoi-initializated island models for solving real-coded deceptive problems. GECCO 2008: 993-1000 - [c28]Antonio LaTorre, José María Peña Sánchez, Víctor Robles, Santiago Muelas:
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. GECCO 2008: 1119-1120 - [p2]Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre
Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms. Innovations in Hybrid Intelligent Systems 2008: 199-206 - 2007
- [j6]María S. Pérez, Alberto Sánchez
Design and implementation of a data mining grid-aware architecture. Future Gener. Comput. Syst. 23(1): 42-47 (2007) - 2006
- [j5]María S. Pérez, Jesús Carretero
MAPFS: A flexible multiagent parallel file system for clusters. Future Gener. Comput. Syst. 22(5): 620-632 (2006) - [j4]Joost N. Kok, José María Peña Sánchez, Arno Siebes:
Introduction. Intell. Data Anal. 10(5): 395 (2006) - 2005
- [j3]María S. Pérez, Alberto Sánchez
A new formalism for dynamic reconfiguration of data servers in a cluster. J. Parallel Distributed Comput. 65(10): 1134-1145 (2005) - [c27]María S. Pérez, Alberto Sánchez, Pilar Herrero, Víctor Robles, José M. Peña:
Adapting the Weka Data Mining Toolkit to a Grid Based Environment. AWIC 2005: 492-497 - [c26]Víctor Robles, José M. Peña, María S. Pérez, Pilar Herrero, Óscar Cubo
Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs. IDA 2005: 339-350 - [e1]A. Fazel Famili, Joost N. Kok, José María Peña Sánchez, Arno Siebes, A. J. Feelders:
Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings. Lecture Notes in Computer Science 3646, Springer 2005, ISBN 3-540-28795-7 [contents] - 2004
- [j2]Víctor Robles
Bayesian network multi-classifiers for protein secondary structure prediction. Artif. Intell. Medicine 31(2): 117-136 (2004) - [j1]Ernestina Menasalvas Ruiz
Subsessions: A granular approach to click path analysis. Int. J. Intell. Syst. 19(7): 619-637 (2004) - [c25]José M. Peña, Víctor Robles, Oscar Marbán, María S. Pérez:
Bayesian Methods to Estimate Future Load in Web Farms. AWIC 2004: 217-226 - [c24]María S. Pérez, Alberto Sánchez, Víctor Robles, José M. Peña, Jemal H. Abawajy:
Cooperation model of a multiagent parallel file system for clusters. CCGRID 2004: 595-601 - [c23]María S. Pérez, Alberto Sánchez, Víctor Robles, José M. Peña, Fernando Pérez:
Optimizations Based on Hints in a Parallel File System. International Conference on Computational Science 2004: 347-354 - [c22]María S. Pérez, Alberto Sánchez, Jemal H. Abawajy, Víctor Robles, José M. Peña:
Design and Evaluation of an Agent-Based Communication Model for a Parallel File System. ICCSA (2) 2004: 87-96 - [c21]José M. Peña, Víctor Robles, Pedro Larrañaga
GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms. IEA/AIE 2004: 361-371 - [c20]Alberto Sánchez, José M. Peña, María S. Pérez, Víctor Robles, Pilar Herrero:
Improving Distributed Data Mining Techniques by Means of a Grid Infrastructure. OTM Workshops 2004: 111-122 - [c19]María S. Pérez, Alberto Sánchez, José M. Peña, Víctor Robles, Jesús Carretero, Félix García:
Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters. Parallel and Distributed Computing and Networks 2004: 70-75 - [c18]Alberto Sánchez, María S. Pérez, Víctor Robles, José M. Peña, Pilar Herrero:
A Flexible Two-Level I/O Architecture for Grids. SAG 2004: 50-58 - 2003
- [c17]Esther Hochsztain
A Framework to Integrate Business Goals in Web Usage Mining. AWIC 2003: 28-36 - [c16]Víctor Robles, Pedro Larrañaga, José M. Peña, Oscar Marbán, F. Javier Crespo, María S. Pérez:
Collaborative Filtering Using Interval Estimation Naïve Bayes. AWIC 2003: 46-53 - [c15]María S. Pérez, Jesús Carretero
MAPFS-Grid: A Flexible Architecture for Data-Intensive Grid Applications. European Across Grids Conference 2003: 111-118 - [c14]Víctor Robles, Pedro Larrañaga, José M. Peña, María S. Pérez, Ernestina Menasalvas Ruiz, Vanessa Herves:
Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms. EPIA 2003: 244-258 - [c13]María S. Pérez, Jesús Carretero
A Flexible Multiagent Parallel File System for Clusters. International Conference on Computational Science 2003: 248-256 - [c12]Katia Leal Algara
MOIRAE - An Innovative Component Architecture with Distributed Control Features. International Conference on Computational Science 2003: 1069-1078 - [c11]Víctor Robles, Pedro Larrañaga, José M. Peña, Ernestina Menasalvas Ruiz, María S. Pérez:
Interval Estimation Naïve Bayes. IDA 2003: 143-154 - [c10]Víctor Robles, María S. Pérez, Vanessa Herves, José M. Peña, Pedro Larrañaga
Parallel Stochastic Search for Protein Secondary Structure Prediction. PPAM 2003: 1162-1169 - [c9]Ernestina Menasalvas Ruiz
Expected Value of User Sessions: Limitations to the Non-Semantic Approach. Web Intelligence 2003: 562-565 - [p1]Ernestina Menasalvas, Oscar Marbán, Socorro Millán, José M. Peña:
Intelligent Web Mining. Intelligent Exploration of the Web 2003: 363-388 - 2002
- [c8]Ernestina Menasalvas, Socorro Millán, José M. Peña, Michael Hadjimichael, Oscar Marbán:
Subsessions: a granular approach to click path analysis. FUZZ-IEEE 2002: 878-883 - [c7]José M. Peña, F. Javier Crespo, Ernestina Menasalvas Ruiz, Víctor Robles:
Parallel Data Mining Experimentation Using Flexible Configurations. Rough Sets and Current Trends in Computing 2002: 441-448 - 2000
- [c6]José M. Peña, Fazel Famili, Sylvain Létourneau:
Data mining to detect abnormal behavior in aerospace data. KDD 2000: 390-397 - [c5]María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, José María Peña Sánchez, Juan Francisco Martínez Sarrías, Socorro Millán:
Using the Apriori Algorithm to Improve Rough Sets Results. Rough Sets and Current Trends in Computing 2000: 291-295
1990 – 1999
- 1999
- [c4]M. Covadonga Fernández, Oscar Delgado, J. Ignacio López, M. Angeles Luna, José F. Martínez, J. F. Borja Pardo, José M. Peña:
DAMISYS: An Overview. DaWaK 1999: 313-317 - [c3]José M. Peña, Sylvain Létourneau, Fazel Famili:
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure. IDA 1999: 473-486 - [c2]María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, José María Peña Sánchez, Socorro Millán, Eloina Mesa:
Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts. PKDD 1999: 335-340 - 1998
- [c1]María C. Fernández-Baizán, Ernestina Menasalvas Ruiz, José María Peña Sánchez, Borja Pardo Pastrana:
Integrating KDD Algorithms and RDBMS Code. Rough Sets and Current Trends in Computing 1998: 210-213
Coauthor Index
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