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ORCIDVíctor Robles
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- affiliation: Universidad Politécnica de Madrid, Spain
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Books and Theses
- 2003
[b1]Víctor Robles:
Clasificación supervisada basada en redes bayesianas. Aplicación en biología computacional. Technical University of Madrid, Spain, 2003
Journal Articles
- 2023
- [j18]Leonardo Cañete-Sifuentes
, Victor Robles, Ernestina Menasalvas, Raúl Monroy Borja:
Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout. IEEE Access 11: 139147-139156 (2023) - [j17]Oswaldo Solarte Pabón, Orlando Montenegro, Alvaro Garcia-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles:
Transformers for extracting breast cancer information from Spanish clinical narratives. Artif. Intell. Medicine 143: 102625 (2023) - 2016
- [j16]Antonio Gracia Berná, Santiago González, Víctor Robles, Ernestina Menasalvas Ruiz, Tatiana von Landesberger:
New insights into the suitability of the third dimension for visualizing multivariate/multidimensional data: A study based on loss of quality quantification. Inf. Vis. 15(1): 3-30 (2016) - 2014
- [j15]Luis Guerra, Concha Bielza, Víctor Robles, Pedro Larrañaga:
Semi-supervised projected model-based clustering. Data Min. Knowl. Discov. 28(4): 882-917 (2014) - [j14]Antonio Gracia Berná, Santiago González, Victor Robles, Ernestina Menasalvas Ruiz:
A methodology to compare Dimensionality Reduction algorithms in terms of loss of quality. Inf. Sci. 270: 1-27 (2014) - 2012
- [j13]Luis Guerra, Víctor Robles, Concha Bielza, Pedro Larrañaga:
A comparison of clustering quality indices using outliers and noise. Intell. Data Anal. 16(4): 703-715 (2012) - 2011
- [j12]Concha Bielza, Víctor Robles, Pedro Larrañaga:
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data. Expert Syst. Appl. 38(5): 5110-5118 (2011) - 2010
- [j11]Santiago González, Luis Guerra, Víctor Robles, José María Peña Sánchez, Fazel Famili:
CliDaPa: A new approach to combining clinical data with DNA microarrays. Intell. Data Anal. 14(2): 207-223 (2010) - [j10]Santiago Muelas, José María Peña Sánchez, Antonio LaTorre, Víctor Robles:
A new initialization procedure for the distributed estimation of distribution algorithms. Soft Comput. 15(4): 713-720 (2010) - 2009
- [j9]María S. Pérez, Alberto Sánchez, Jemal H. Abawajy, Víctor Robles, José M. Peña:
An agent architecture for managing data resources in a grid environment. Future Gener. Comput. Syst. 25(7): 747-755 (2009) - [j8]Min-Ling Zhang, José María Peña Sánchez, Víctor Robles:
Feature selection for multi-label naive Bayes classification. Inf. Sci. 179(19): 3218-3229 (2009) - 2008
- [j7]Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, José Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga:
A review of estimation of distribution algorithms in bioinformatics. BioData Min. 1 (2008) - 2007
- [j6]María S. Pérez, Alberto Sánchez, Víctor Robles, Pilar Herrero, José M. Peña:
Design and implementation of a data mining grid-aware architecture. Future Gener. Comput. Syst. 23(1): 42-47 (2007) - 2006
- [j5]Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles:
Machine learning in bioinformatics. Briefings Bioinform. 7(1): 86-112 (2006) - [j4]María S. Pérez, Jesús Carretero, Félix García Carballeira, José M. Peña, Víctor Robles:
MAPFS: A flexible multiagent parallel file system for clusters. Future Gener. Comput. Syst. 22(5): 620-632 (2006) - 2005
- [j3]María S. Pérez, Alberto Sánchez, José M. Peña, Víctor Robles:
A new formalism for dynamic reconfiguration of data servers in a cluster. J. Parallel Distributed Comput. 65(10): 1134-1145 (2005) - [j2]María S. Pérez, Pilar Herrero, Francisco M. Sánchez, Víctor Robles:
Are web self-assessment tools useful for training? IEEE Trans. Educ. 48(4): 757-763 (2005) - 2004
- [j1]Víctor Robles, Pedro Larrañaga, José M. Peña, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves, Anita Wasilewska:
Bayesian network multi-classifiers for protein secondary structure prediction. Artif. Intell. Medicine 31(2): 117-136 (2004)
Conference and Workshop Papers
- 2023
- [c32]Alvaro Garcia-Barragán, Oswaldo Solarte Pabón, Georgiy Nedostup, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning. CBMS 2023: 404-409 - 2022
- [c31]Oswaldo Solarte Pabón, Maria Torrente, Alvaro Garcia-Barragán, Mariano Provencio, Ernestina Menasalvas, Victor Robles:
Deep learning to extract Breast Cancer diagnosis concepts. CBMS 2022: 13-18 - 2013
- [c30]Luis Guerra, Ruth Benavides-Piccione, Concha Bielza, Víctor Robles, Javier DeFelipe, Pedro Larrañaga:
Semi-supervised Projected Clustering for Classifying GABAergic Interneurons. AIME 2013: 156-165 - 2012
- [c29]Antonio Gracia Berná, Santiago González, Víctor Robles Forcada:
MedVir: 3D visual interface applied to gene profile analysis. HPCS 2012: 693-695 - 2009
- [c28]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
- [c27]Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre:
Voronoi-initializated island models for solving real-coded deceptive problems. GECCO 2008: 993-1000 - [c26]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 - 2005
- [c25]Pilar Herrero, María S. Pérez, Víctor Robles:
1st International Workshop on Knowledge and Data Mining Grid. AWIC 2005: 464-465 - [c24]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 - [c23]Manuel Salvadores, Pilar Herrero, María S. Pérez, Víctor Robles:
DCP-Grid A Framework for Concurrent Distributed Transactions on Grid Environments. AWIC 2005: 498-503 - [c22]Manuel Salvadores, Pilar Herrero, María S. Pérez, Víctor Robles:
DCP-Grid, a Framework for Conversational Distributed Transactions on Grid Environments. International Conference on Computational Science (3) 2005: 171-178 - [c21]Óscar Cubo, Víctor Robles, Javier Segovia, Ernestina Menasalvas Ruiz:
Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction. IDA 2005: 57-65 - [c20]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 - [c19]Pilar Herrero, María S. Pérez, Víctor Robles, Jan Humble:
GADA 2005 PC Co-chairs' Message. OTM Workshops 2005: 233 - 2004
- [c18]José M. Peña, Víctor Robles, Oscar Marbán, María S. Pérez:
Bayesian Methods to Estimate Future Load in Web Farms. AWIC 2004: 217-226 - [c17]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 - [c16]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 - [c15]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 - [c14]José M. Peña, Víctor Robles, Pedro Larrañaga, Vanessa Herves, Francisco Rosales, María S. Pérez:
GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms. IEA/AIE 2004: 361-371 - [c13]Pilar Herrero, María S. Pérez, Milena Radenkovic, Víctor Robles:
Workshop on Grid Computing and Its Application to Data Analysis (GADA) PC Co-chairs' Message. OTM Workshops 2004: 48-49 - [c12]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 - [c11]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 - [c10]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 - [c9]Pilar Herrero, María S. Pérez, Víctor Robles:
GAM: A Grid Awareness Model for Grid Environments. SAG 2004: 158-167 - 2003
- [c8]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 - [c7]María S. Pérez, Jesús Carretero, Félix García, José M. Peña, Víctor Robles:
MAPFS-Grid: A Flexible Architecture for Data-Intensive Grid Applications. European Across Grids Conference 2003: 111-118 - [c6]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 - [c5]María S. Pérez, Jesús Carretero, Félix García, José M. Peña, Víctor Robles:
A Flexible Multiagent Parallel File System for Clusters. International Conference on Computational Science 2003: 248-256 - [c4]Víctor Robles, Pedro Larrañaga, José M. Peña, Ernestina Menasalvas Ruiz, María S. Pérez:
Interval Estimation Naïve Bayes. IDA 2003: 143-154 - [c3]Víctor Robles, María S. Pérez, Vanessa Herves, José M. Peña, Pedro Larrañaga:
Parallel Stochastic Search for Protein Secondary Structure Prediction. PPAM 2003: 1162-1169 - [c2]Víctor Robles, Pedro Larrañaga, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves:
Improvement of Naïve Bayes Collaborative Filtering Using Interval Estimation. Web Intelligence 2003: 168-174 - 2002
- [c1]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
Parts in Books or Collections
- 2008
- [p3]Santiago Muelas, José María Peña Sánchez, Víctor Robles, Antonio LaTorre, P. de Miguel:
Machine Learning to Analyze Migration Parameters in Parallel Genetic Algorithms. Innovations in Hybrid Intelligent Systems 2008: 199-206 - 2006
- [p2]Victor Robles, José M. Peña, Pedro Larrañaga, María S. Pérez, Vanessa Herves:
GA-EDA: A New Hybrid Cooperative Search Evolutionary Algorithm. Towards a New Evolutionary Computation 2006: 187-219 - 2002
- [p1]Víctor Robles, P. de Miguel, Pedro Larrañaga:
Solving the Traveling Salesman Problem with EDAs. Estimation of Distribution Algorithms 2002: 211-229
Editorship
- 2005
- [e2]Robert Meersman, Zahir Tari, Pilar Herrero, Gonzalo Méndez, Lawrence Cavedon, David B. Martin, Annika Hinze, George Buchanan, María S. Pérez, Víctor Robles, Jan Humble, Antonia Albani, Jan L. G. Dietz, Hervé Panetto, Monica Scannapieco, Terry A. Halpin, Peter Spyns, Johannes Maria Zaha, Esteban Zimányi, Emmanuel Stefanakis, Tharam S. Dillon, Ling Feng, Mustafa Jarrar, Jos Lehmann, Aldo de Moor, Erik Duval, Lora Aroyo:
On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops, OTM Confederated International Workshops and Posters, AWeSOMe, CAMS, GADA, MIOS+INTEROP, ORM, PhDS, SeBGIS, SWWS, and WOSE 2005, Agia Napa, Cyprus, October 31 - November 4, 2005, Proceedings. Lecture Notes in Computer Science 3762, Springer 2005, ISBN 3-540-29739-1 [contents] - [e1]Pilar Herrero, María S. Pérez, Víctor Robles:
Scientific Applications of Grid Computing, First International Workshop, SAG 2004, Beijing, China, September 20-24, 2004, Revised Selected and Invited Papers. Lecture Notes in Computer Science 3458, Springer 2005, ISBN 3-540-25810-8 [contents]
Coauthor Index
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