| 2009 | ||
|---|---|---|
| 29 | María S. Pérez, Alberto Sánchez, Jemal H. Abawajy, Víctor Robles, José Manuel Peña: An agent architecture for managing data resources in a grid environment. Future Generation Comp. Syst. 25(7): 747-755 (2009) | |
| 2008 | ||
| 28 | Antonio LaTorre, José Manuel Peña, Víctor Robles, Santiago Muelas: Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. GECCO 2008: 1119-1120 | |
| 27 | Santiago Muelas, José Manuel Peña, Víctor Robles, Antonio LaTorre: Voronoi-initializated island models for solving real-coded deceptive problems. GECCO 2008: 993-1000 | |
| 26 | Santiago Muelas, José Manuel Peña, Víctor Robles, A. La Torre, P. de Miguel: Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms. Innovations in Hybrid Intelligent Systems 2008: 199-206 | |
| 2007 | ||
| 25 | María S. Pérez, Alberto Sánchez, Víctor Robles, Pilar Herrero, José Manuel Peña: Design and implementation of a data mining grid-aware architecture. Future Generation Comp. Syst. 23(1): 42-47 (2007) | |
| 2006 | ||
| 24 | María S. Pérez, Jesús Carretero, Félix García Carballeira, José Manuel Peña, Víctor Robles: MAPFS: A flexible multiagent parallel file system for clusters. Future Generation Comp. Syst. 22(5): 620-632 (2006) | |
| 2005 | ||
| 23 | María S. Pérez, Alberto Sánchez, Pilar Herrero, Víctor Robles, José Manuel Peña: Adapting the Weka Data Mining Toolkit to a Grid Based Environment. AWIC 2005: 492-497 | |
| 22 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks. Evolutionary Computation 13(1): 43-66 (2005) | |
| 21 | María S. Pérez, Alberto Sánchez, José Manuel Peña, Víctor Robles: A new formalism for dynamic reconfiguration of data servers in a cluster. J. Parallel Distrib. Comput. 65(10): 1134-1145 (2005) | |
| 20 | Pedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza: Editorial. Machine Learning 59(3): 211-212 (2005) | |
| 2004 | ||
| 19 | José Manuel Peña, Víctor Robles, Oscar Marbán, María S. Pérez: Bayesian Methods to Estimate Future Load in Web Farms. AWIC 2004: 217-226 | |
| 18 | María S. Pérez, Alberto Sánchez, Víctor Robles, José Manuel Peña, Jemal H. Abawajy: Cooperation model of a multiagent parallel file system for clusters. CCGRID 2004: 595-601 | |
| 17 | María S. Pérez, Alberto Sánchez, José Manuel 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 | |
| 16 | Alberto Sánchez, María S. Pérez, Víctor Robles, José Manuel Peña, Pilar Herrero: A Flexible Two-Level I/O Architecture for Grids. SAG 2004: 50-58 | |
| 15 | Víctor Robles, Pedro Larrañaga, José Manuel Peña, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves, Anita Wasilewska: Bayesian network multi-classifiers for protein secondary structure prediction. Artificial Intelligence in Medicine 31(2): 117-136 (2004) | |
| 14 | Ernestina Menasalvas Ruiz, Socorro Millán, José Manuel Peña, Michael Hadjimichael, Oscar Marbán: Subsessions: A granular approach to click path analysis. Int. J. Intell. Syst. 19(7): 619-637 (2004) | |
| 13 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data Clustering. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(Supplement-1): 63-82 (2004) | |
| 2003 | ||
| 12 | Jens D. Nielsen, Tomás Kocka, José Manuel Peña: On Local Optima in Learning Bayesian Networks. UAI 2003: 435-442 | |
| 2002 | ||
| 11 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. Probabilistic Graphical Models 2002 | |
| 10 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction. Machine Learning 47(1): 63-89 (2002) | |
| 2001 | ||
| 9 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga, Iñaki Inza: Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 23(6): 590-603 (2001) | |
| 8 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Performance evaluation of compromise conditional Gaussian networks for data clustering. Int. J. Approx. Reasoning 28(1): 23-50 (2001) | |
| 2000 | ||
| 7 | José Manuel Peña, Fazel Famili, Sylvain Létourneau: Data mining to detect abnormal behavior in aerospace data. KDD 2000: 390-397 | |
| 6 | Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Combinatonal Optimization by Learning and Simulation of Bayesian Networks. UAI 2000: 343-352 | |
| 5 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering. Pattern Recognition Letters 21(8): 779-786 (2000) | |
| 1999 | ||
| 4 | José Manuel Peña, Sylvain Létourneau, Fazel Famili: Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure. IDA 1999: 473-486 | |
| 3 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: An empirical comparison of four initialization methods for the K-Means algorithm. Pattern Recognition Letters 20(10): 1027-1040 (1999) | |
| 2 | Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña: Representing the behaviour of supervised classification learning algorithms by Bayesian networks. Pattern Recognition Letters 20(11-13): 1201-1209 (1999) | |
| 1 | José Manuel Peña, José Antonio Lozano, Pedro Larrañaga: Learning Bayesian networks for clustering by means of constructive induction. Pattern Recognition Letters 20(11-13): 1219-1230 (1999) | |