Solving the Traveling Salesman Problem with EDAs. - Víctor Robles; P. de Miguel; Pedro Larrañaga (Estimation of Distribution Algorithms, 2002)

Parallel Data Mining Experimentation Using Flexible Configurations. - José M. Peña 002; F. Javier Crespo; Ernestina Menasalvas Ruiz; Víctor Robles (Rough Sets and Current Trends in Computing, 2002)

Collaborative Filtering Using Interval Estimation Naïve Bayes. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; Oscar Marbán; F. Javier Crespo; María S. Pérez 001 (AWIC, 2003)

MAPFS-Grid: A Flexible Architecture for Data-Intensive Grid Applications. - María S. Pérez 001; Jesús Carretero 001; Félix García 002; José M. Peña 002; Víctor Robles (European Across Grids Conference, 2003)

Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; María S. Pérez 001; Ernestina Menasalvas Ruiz; Vanessa Herves (EPIA, 2003)

A Flexible Multiagent Parallel File System for Clusters. - María S. Pérez 001; Jesús Carretero 001; Félix García 002; José M. Peña 002; Víctor Robles (International Conference on Computational Science, 2003)

Interval Estimation Naïve Bayes. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; Ernestina Menasalvas Ruiz; María S. Pérez 001 (IDA, 2003)

Parallel Stochastic Search for Protein Secondary Structure Prediction. - Víctor Robles; María S. Pérez 001; Vanessa Herves; José M. Peña 002; Pedro Larrañaga (PPAM, 2003)

Improvement of Naïve Bayes Collaborative Filtering Using Interval Estimation. - Víctor Robles; Pedro Larrañaga; Ernestina Menasalvas Ruiz; María S. Pérez 001; Vanessa Herves (Web Intelligence, 2003)

Clasificación supervisada basada en redes bayesianas. Aplicación en biología computacional. - Víctor Robles (2003)

Bayesian Methods to Estimate Future Load in Web Farms. - José M. Peña 002; Víctor Robles; Oscar Marbán; María S. Pérez 001 (AWIC, 2004)

Cooperation model of a multiagent parallel file system for clusters. - María S. Pérez 001; Alberto Sánchez 001; Víctor Robles; José M. Peña 002; Jemal H. Abawajy (CCGRID, 2004)

Optimizations Based on Hints in a Parallel File System. - María S. Pérez 001; Alberto Sánchez 001; Víctor Robles; José M. Peña 002; Fernando Pérez (International Conference on Computational Science, 2004)

Design and Evaluation of an Agent-Based Communication Model for a Parallel File System. - María S. Pérez 001; Alberto Sánchez 001; Jemal H. Abawajy; Víctor Robles; José M. Peña 002 (ICCSA (2), 2004)

GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms. - José M. Peña 002; Víctor Robles; Pedro Larrañaga; Vanessa Herves; Francisco Rosales; María S. Pérez 001 (IEA/AIE, 2004)

Workshop on Grid Computing and Its Application to Data Analysis (GADA) PC Co-chairs' Message. - Pilar Herrero; María S. Pérez 001; Milena Radenkovic 001; Víctor Robles (OTM Workshops, 2004)

Improving Distributed Data Mining Techniques by Means of a Grid Infrastructure. - Alberto Sánchez 001; José M. Peña 002; María S. Pérez 001; Víctor Robles; Pilar Herrero (OTM Workshops, 2004)

Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters. - María S. Pérez 001; Alberto Sánchez 001; José M. Peña 002; Víctor Robles; Jesús Carretero 001; Félix García 002 (Parallel and Distributed Computing and Networks, 2004)

GAM: A Grid Awareness Model for Grid Environments. - Pilar Herrero; María S. Pérez 001; Víctor Robles (SAG, 2004)

A Flexible Two-Level I/O Architecture for Grids. - Alberto Sánchez 001; María S. Pérez 001; Víctor Robles; José M. Peña 002; Pilar Herrero (SAG, 2004)

Bayesian network multi-classifiers for protein secondary structure prediction. - Víctor Robles; Pedro Larrañaga; José M. Peña 002; Ernestina Menasalvas Ruiz; María S. Pérez 001; Vanessa Herves; Anita Wasilewska (Artif. Intell. Medicine, 2004)

1st International Workshop on Knowledge and Data Mining Grid. - Pilar Herrero; María S. Pérez 001; Víctor Robles (AWIC, 2005)

Adapting the Weka Data Mining Toolkit to a Grid Based Environment. - María S. Pérez 001; Alberto Sánchez 001; Pilar Herrero; Víctor Robles; José M. Peña 002 (AWIC, 2005)

DCP-Grid A Framework for Concurrent Distributed Transactions on Grid Environments. - Manuel Salvadores; Pilar Herrero; María S. Pérez 001; Víctor Robles (AWIC, 2005)

DCP-Grid, a Framework for Conversational Distributed Transactions on Grid Environments. - Manuel Salvadores; Pilar Herrero; María S. Pérez 001; Víctor Robles (International Conference on Computational Science (3), 2005)

Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction. - Óscar Cubo; Víctor Robles; Javier Segovia; Ernestina Menasalvas Ruiz (IDA, 2005)

Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs. - Víctor Robles; José M. Peña 002; María S. Pérez 001; Pilar Herrero; Óscar Cubo (IDA, 2005)

GADA 2005 PC Co-chairs' Message. - Pilar Herrero; María S. Pérez 001; Víctor Robles; Jan Humble (OTM Workshops, 2005)

A new formalism for dynamic reconfiguration of data servers in a cluster. - María S. Pérez 001; Alberto Sánchez 001; José M. Peña 002; Víctor Robles (J. Parallel Distributed Comput., 2005)

Are web self-assessment tools useful for training? - María S. Pérez 001; Pilar Herrero; Francisco M. Sánchez; Víctor Robles (IEEE Trans. Educ., 2005)

GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm. - Victor Robles; José M. Peña 001; Pedro Larrañaga; María S. Pérez 001; Vanessa Herves (Towards a New Evolutionary Computation, 2006)

Machine learning in bioinformatics. - Pedro Larrañaga; Borja Calvo; Roberto Santana 001; Concha Bielza; Josu Galdiano; Iñaki Inza; José Antonio Lozano 001; Rubén Armañanzas; Guzmán Santafé; Aritz Pérez Martínez; Victor Robles (Briefings Bioinform., 2006)

MAPFS: A flexible multiagent parallel file system for clusters. - María S. Pérez 001; Jesús Carretero 001; Félix García Carballeira; José M. Peña 002; Víctor Robles (Future Gener. Comput. Syst., 2006)

Design and implementation of a data mining grid-aware architecture. - María S. Pérez 001; Alberto Sánchez 001; Víctor Robles; Pilar Herrero; José M. Peña 002 (Future Gener. Comput. Syst., 2007)

Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. - Antonio LaTorre; José María Peña Sánchez; Víctor Robles; Santiago Muelas (GECCO, 2008)

Voronoi-initializated island models for solving real-coded deceptive problems. - Santiago Muelas; José María Peña Sánchez; Víctor Robles; Antonio LaTorre (GECCO, 2008)

A review of estimation of distribution algorithms in bioinformatics. - Rubén Armañanzas; Iñaki Inza; Roberto Santana 001; Yvan Saeys; Jose Luis Flores 001; José Antonio Lozano 001; Yves Van de Peer; Rosa Blanco; Víctor Robles; Concha Bielza; Pedro Larrañaga (BioData Min., 2008)

Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms. - Santiago Muelas; José María Peña Sánchez; Víctor Robles; Antonio LaTorre; P. de Miguel (Innovations in Hybrid Intelligent Systems, 2008)

EDA-Based Logistic Regression Applied to Biomarkers Selection in Breast Cancer. - Santiago González; Víctor Robles; José María Peña Sánchez; Óscar Cubo (IWANN (2), 2009)

An agent architecture for managing data resources in a grid environment. - María S. Pérez 001; Alberto Sánchez 001; Jemal H. Abawajy; Víctor Robles; José M. Peña 002 (Future Gener. Comput. Syst., 2009)

Feature selection for multi-label naive Bayes classification. - Min-Ling Zhang; José María Peña Sánchez; Víctor Robles (Inf. Sci., 2009)

CliDaPa: A new approach to combining clinical data with DNA microarrays. - Santiago González; Luis Guerra; Víctor Robles; José María Peña Sánchez; Fazel Famili (Intell. Data Anal., 2010)

A new initialization procedure for the distributed estimation of distribution algorithms. - Santiago Muelas; José María Peña Sánchez; Antonio LaTorre; Víctor Robles (Soft Comput., 2010)

Regularized logistic regression without a penalty term: An application to cancer classification with microarray data. - Concha Bielza; Víctor Robles; Pedro Larrañaga (Expert Syst. Appl., 2011)

MedVir: 3D visual interface applied to gene profile analysis. - Antonio Gracia Berná; Santiago González; Víctor Robles Forcada (HPCS, 2012)

A comparison of clustering quality indices using outliers and noise. - Luis Guerra; Víctor Robles; Concha Bielza; Pedro Larrañaga (Intell. Data Anal., 2012)

Semi-supervised Projected Clustering for Classifying GABAergic Interneurons. - Luis Guerra; Ruth Benavides-Piccione; Concha Bielza; Víctor Robles; Javier DeFelipe; Pedro Larrañaga (AIME, 2013)

Semi-supervised projected model-based clustering. - Luis Guerra; Concha Bielza; Víctor Robles; Pedro Larrañaga (Data Min. Knowl. Discov., 2014)

A methodology to compare Dimensionality Reduction algorithms in terms of loss of quality. - Antonio Gracia Berná; Santiago González; Victor Robles; Ernestina Menasalvas Ruiz (Inf. Sci., 2014)

New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on loss of quality quantification. - Antonio Gracia Berná; Santiago González; Víctor Robles; Ernestina Menasalvas Ruiz; Tatiana von Landesberger (Inf. Vis., 2016)

Deep learning to extract Breast Cancer diagnosis concepts. - Oswaldo Solarte Pabón; Maria Torrente; Alvaro Garcia-Barragán; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2022)

Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. - Alvaro Garcia-Barragán; Oswaldo Solarte Pabón; Georgiy Nedostup; Mariano Provencio; Ernestina Menasalvas; Victor Robles (CBMS, 2023)

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout. - Leonardo Cañete-Sifuentes; Victor Robles; Ernestina Menasalvas; Raúl Monroy Borja (IEEE Access, 2023)

Transformers for extracting breast cancer information from Spanish clinical narratives. - Oswaldo Solarte Pabón; Orlando Montenegro; Alvaro Garcia-Barragán; Maria Torrente; Mariano Provencio; Ernestina Menasalvas; Víctor Robles (Artif. Intell. Medicine, 2023)

Named Entity Recognition in Mammography Radiology Reports using a Multilingual Transfer Learning Approach. - Esteban Ricardo Salazar Cabrera; Alejandro Santos-Díaz; Ernestina Menasalvas; José Gerardo Tamez-Peña; Victor Robles (CBMS, 2024)

Step-forward structuring disease phenotypic entities with LLMs for disease understanding. - Alvaro Garcia-Barragán; Alberto González Calatayud; Lucía Prieto Santamaría; Víctor Robles; Ernestina Menasalvas; Alejandro Rodríguez (CBMS, 2024)

ELADAIS: An Integrated Platform for High-Impact Clinical Data Extraction, Standardization and Advanced Analytics Using OMOP-CDM. - Alejandro Rodríguez González; Victor Robles; Juan José Cubillas Mercado; Juan Manuel Martínez Pérez; Jose Luis González Mendez; Ernestina Menasalvas Ruiz (CBMS, 2025)

NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes. - Alvaro Garcia-Barragán; Ahmad Sakor; Maria-Esther Vidal; Ernestina Menasalvas; Juan Cristobal Sanchez Gonzalez; Mariano Provencio; Víctor Robles (Medical Biol. Eng. Comput., 2025)