V. Robles

发表

Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study

R. Yuste, C. Bielza, P. Larrañaga, 2010, Developmental neurobiology.

Feature selection for multi-label naive Bayes classification

Víctor Robles, Min-Ling Zhang, José María Peña Sánchez, 2009, Inf. Sci..

Optimizing logistic regression coefficients for discrimination and calibration using estimation of distribution algorithms

C. Bielza, P. Larrañaga, L. Ohno-Machado, 2008 .

A Multiagent Infrastructure for Data-Intensive Grid Applications

Víctor Robles, José M. Peña, Jesus Carretero, 2005 .

Instantiation and adaptation of CRISP-DM to Bioinformatics computational processes

J. Peña, V. Robles, E. Menasalvas, 2011 .

MAPFS-Grid: A Flexible Architecture for Data-Intensive Grid Applications

María S. Pérez-Hernández, José M. Peña, Jesús Carretero, 2003, European Across Grids Conference.

GUEST EDITORIAL: Data mining in genomics and proteomics

Pedro Larrañaga, Víctor Robles, Ernestina Menasalvas, 2004 .

Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters

Jesús Carretero, María S. Pérez-Hernández, Alberto Sánchez, 2004, Parallel and Distributed Computing and Networks.

Voronoi-initializated island models for solving real-coded deceptive problems

Víctor Robles, Antonio LaTorre, José María Peña Sánchez, 2008, GECCO '08.

Age-based comparison of human dendritic spine structure using complete three-dimensional reconstructions.

Rafael Yuste, Javier DeFelipe, Ruth Benavides-Piccione, 2013, Cerebral cortex.

A review of estimation of distribution algorithms in bioinformatics

Concha Bielza, Pedro Larrañaga, Yvan Saeys, 2008, BioData Mining.

CliDaPa: A new approach to combining clinical data with DNA microarrays

Santiago González, Víctor Robles, Fazel Famili, 2010, Intell. Data Anal..

Semi-supervised projected model-based clustering

Concha Bielza, Pedro Larrañaga, Víctor Robles, 2014, Data Mining and Knowledge Discovery.

A new formalism for dynamic reconfiguration of data servers in a cluster

María S. Pérez-Hernández, Alberto Sánchez, José M. Peña, 2005, J. Parallel Distributed Comput..

A methodology to compare Dimensionality Reduction algorithms in terms of loss of quality

Ernestina Menasalvas Ruiz, Antonio Gracia Berná, Santiago González, 2014, Inf. Sci..

Machine Learning in Bioinformatics

Concha Bielza, Pedro Larrañaga, Iñaki Inza, 2008, Encyclopedia of Database Systems.

Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers

Concha Bielza, P Larranaga, C. Bielza, 2009, Methods of Information in Medicine.

Three-Dimensional Spatial Distribution of Synapses in the Neocortex: A Dual-Beam Electron Microscopy Study

Concha Bielza, Pedro Larrañaga, Víctor Robles, 2013, Cerebral cortex.

GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm

María S. Pérez-Hernández, Pedro Larrañaga, José M. Peña, 2006, Towards a New Evolutionary Computation.

GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms

María S. Pérez-Hernández, Pedro Larrañaga, Francisco Rosales, 2004, IEA/AIE.

Supercomputer Scheduling with Combined Evolutionary Techniques

Antonio LaTorre, José-María Peña, P. de Miguel, 2008 .

Optimizations Based on Hints in a Parallel File System

María S. Pérez-Hernández, Alberto Sánchez, Fernando Pérez, 2004, International Conference on Computational Science.

MAPFS: A flexible multiagent parallel file system for clusters

Félix García Carballeira, María S. Pérez-Hernández, José M. Peña, 2003, Future Gener. Comput. Syst..

Adapting the Weka Data Mining Toolkit to a Grid Based Environment

María S. Pérez-Hernández, Alberto Sánchez, Pilar Herrero, 2005, AWIC.

Improving Distributed Data Mining Techniques by Means of a Grid Infrastructure

María S. Pérez-Hernández, Alberto Sánchez, Pilar Herrero, 2004, OTM Workshops.

Optimizing the Design of Composite Panels using an Improved Genetic Algorithm

José M. Peña, Antonio LaTorre, V ´ õctor Robles, 2008 .

Regularized logistic regression without a penalty term: An application to cancer classification with microarray data

Concha Bielza, Pedro Larrañaga, Víctor Robles, 2011, Expert Syst. Appl..

A new initialization procedure for the distributed estimation of distribution algorithms

Víctor Robles, Antonio LaTorre, José María Peña Sánchez, 2010, Soft Comput..

EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer

Santiago González, Víctor Robles, José María Peña Sánchez, 2009, IWANN.

Semi-supervised Projected Clustering for Classifying GABAergic Interneurons

Concha Bielza, Pedro Larrañaga, Javier DeFelipe, 2013, AIME.

An agent architecture for managing data resources in a grid environment

Alberto Sánchez, María S. Pérez-Hernández, Jemal H. Abawajy, 2009, Future Gener. Comput. Syst..

New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on loss of quality quantification

Ernestina Menasalvas Ruiz, Antonio Gracia Berná, Santiago González, 2016, Inf. Vis..

Cooperation model of a multiagent parallel file system for clusters

Alberto Sánchez, María S. Pérez-Hernández, Jemal H. Abawajy, 2004, IEEE International Symposium on Cluster Computing and the Grid, 2004. CCGrid 2004..

A comparison of clustering quality indices using outliers and noise

Concha Bielza, Pedro Larrañaga, Víctor Robles, 2012, Intell. Data Anal..

Supplementary Material Three-Dimensional Spatial Distribution of Synapses in the Neocortex : a Dual-Beam Electron Microscopy Study

C. Bielza, P. Larrañaga, J. DeFelipe, 2012 .

Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs

María S. Pérez-Hernández, José M. Peña, Pilar Herrero, 2005, IDA.

Using multiple offspring sampling to guide genetic algorithms to solve permutation problems

Víctor Robles, Antonio LaTorre, José María Peña Sánchez, 2008, GECCO '08.