José Manuel Peña - researchr alias

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Viewing Publication 1 - 31 from 31

2023

A Machine Learning Plus-Features Based Approach for Optimal Asset AllocationDomingo Ramírez, José Manuel Peña, Fernando Suárez, Omar Larré, Arturo Cifuentes. icaif 2023: 549-556 [doi]

2015

Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed MappingIrene Borra-Serrano, José Manuel Peña, Jorge Torres-Sánchez, Francisco Javier Mesas-Carrascosa, Francisca López-Granados. sensors, 15(8):19688-19708, 2015. [doi]

2008

Using multiple offspring sampling to guide genetic algorithms to solve permutation problemsAntonio LaTorre, José Manuel Peña, Víctor Robles, Santiago Muelas. gecco 2008: 1119-1120 [doi]

Machine Learning to Analyze Migration Parameters in Parallel Genetic AlgorithmsSantiago Muelas, José Manuel Peña, Víctor Robles, A. La Torre, P. de Miguel. In Emilio Corchado, Juan M. Corchado, Ajith Abraham, editors, Innovations in Hybrid Intelligent Systems. Volume 44 of Advances in Soft Computing, pages 199-206, Springer, 2008. [doi]

Voronoi-initializated island models for solving real-coded deceptive problemsSantiago Muelas, José Manuel Peña, Víctor Robles, Antonio LaTorre. gecco 2008: 993-1000 [doi]

2007

Design and implementation of a data mining grid-aware architectureMaría S. Pérez, Alberto Sánchez, Víctor Robles, Pilar Herrero, José Manuel Peña. fgcs, 23(1):42-47, 2007. [doi]

2006

MAPFS: A flexible multiagent parallel file system for clustersMaría S. Pérez, Jesús Carretero, Félix García Carballeira, José Manuel Peña, Víctor Robles. fgcs, 22(5):620-632, 2006. [doi]

2005

2004

Bayesian Methods to Estimate Future Load in Web FarmsJosé Manuel Peña, Víctor Robles, Oscar Marbán, María S. Pérez. awic 2004: 217-226 [doi]

Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data ClusteringJosé Manuel Peña, José Antonio Lozano, Pedro Larrañaga. ijufks, 12(Supplement-1):63-82, 2004. [doi]

Storage groups: A new approach for providing dynamic reconfiguration in data-based clustersMaría S. Pérez, Alberto Sánchez, José Manuel Peña, Víctor Robles, Jesús Carretero, Félix García. pdcn 2004: 70-75

Cooperation model of a multiagent parallel file system for clustersMaría S. Pérez, Alberto Sánchez, Víctor Robles, José Manuel Peña, Jemal H. Abawajy. ccgrid 2004: 595-601 [doi]

Bayesian network multi-classifiers for protein secondary structure predictionVíctor Robles, Pedro Larrañaga, José Manuel Peña, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves, Anita Wasilewska. artmed, 31(2):117-136, 2004. [doi]

Subsessions: A granular approach to click path analysisErnestina Menasalvas Ruiz, Socorro Millán, José Manuel Peña, Michael Hadjimichael, Oscar Marbán. ijis, 19(7):619-637, 2004. [doi]

A Flexible Two-Level I/O Architecture for GridsAlberto Sánchez, María S. Pérez, Víctor Robles, José Manuel Peña, Pilar Herrero. sag 2005: 50-58 [doi]

2003

On Local Optima in Learning Bayesian NetworksJens D. Nielsen, Tomás Kocka, José Manuel Peña. uai 2003: 435-442

2002

Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive InductionJosé Manuel Peña, José Antonio Lozano, Pedro Larrañaga. ml, 47(1):63-89, 2002.

Unsupervised Learning of Bayesian Networks Via Estimation of Distribution AlgorithmsJosé Manuel Peña, José Antonio Lozano, Pedro Larrañaga. pgm 2002: [doi]

2001

2000

Combinatonal Optimization by Learning and Simulation of Bayesian NetworksPedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña. uai 2000: 343-352 [doi]

Data mining to detect abnormal behavior in aerospace dataJosé Manuel Peña, Fazel Famili, Sylvain Létourneau. kdd 2000: 390-397 [doi]

An improved Bayesian structural EM algorithm for learning Bayesian networks for clusteringJosé Manuel Peña, José Antonio Lozano, Pedro Larrañaga. prl, 21(8):779-786, 2000. [doi]

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2023

2015

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1999

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