![]() | ![]() |
| 2011 | ||
|---|---|---|
| 37 | Pedro L. López-Cruz, Concha Bielza, Pedro Larrañaga: The von Mises Naive Bayes Classifier for Angular Data. CAEPIA 2011: 145-154 | |
| 36 | Hossein Karshenas, Roberto Santana, Concha Bielza, Pedro Larrañaga: Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables. EMO 2011: 298-312 | |
| 35 | Roberto Santana, Concha Bielza, Pedro Larrañaga: Affinity propagation enhanced by estimation of distribution algorithms. GECCO 2011: 331-338 | |
| 34 | Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga: Regularized k-order markov models in EDAs. GECCO 2011: 593-600 | |
| 33 | Roberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga: Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods. GECCO (Companion) 2011: 91-92 | |
| 32 | Julio H. Zaragoza, Luis Enrique Sucar, Eduardo F. Morales, Concha Bielza, Pedro Larrañaga: Bayesian Chain Classifiers for Multidimensional Classification. IJCAI 2011: 2192-2197 | |
| 31 | Juan A. Fernández del Pozo, Concha Bielza: Dealing with complex queries in decision-support systems. Data Knowl. Eng. 70(2): 167-181 (2011) | |
| 30 | 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) | |
| 29 | Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga: Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE/ACM Trans. Comput. Biology Bioinform. 8(3): 760-774 (2011) | |
| 28 | Concha Bielza, G. Li, Pedro Larrañaga: Multi-dimensional classification with Bayesian networks. Int. J. Approx. Reasoning 52(6): 705-727 (2011) | |
| 27 | Hanen Borchani, Pedro Larrañaga, Concha Bielza: Classifying evolving data streams with partially labeled data. Intell. Data Anal. 15(5): 655-670 (2011) | |
| 26 | Endika Bengoetxea, Pedro Larrañaga, Concha Bielza, Juan A. Fernández del Pozo: Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms. J. Heuristics 17(5): 567-588 (2011) | |
| 25 | Roberto Santana, Concha Bielza, Pedro Larrañaga: Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation. Neuroinformatics 9(1): 3-19 (2011) | |
| 24 | Pedro L. López-Cruz, Concha Bielza, Pedro Larrañaga, Ruth Benavides-Piccione, Javier DeFelipe: Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks. Neuroinformatics 9(4): 347-369 (2011) | |
| 23 | Alfonso Ibáñez, Pedro Larrañaga, Concha Bielza: Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals. Scientometrics 89(2): 523-551 (2011) | |
| 2010 | ||
| 22 | Roberto Santana, Concha Bielza, Pedro Larrañaga: Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models. EvoBIO 2010: 170-181 | |
| 21 | Hanen Borchani, Pedro Larrañaga, Concha Bielza: Mining Concept-Drifting Data Streams Containing Labeled and Unlabeled Instances. IEA/AIE (1) 2010: 531-540 | |
| 20 | Roberto Santana, Concha Bielza, Pedro Larrañaga: Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience. IEA/AIE (3) 2010: 149-158 | |
| 19 | Alfredo Cuesta-Infante, Roberto Santana, José Ignacio Hidalgo, Concha Bielza, Pedro Larrañaga: Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 | |
| 18 | Concha Bielza, Manuel Gómez, P. P. Shenoy: Modeling challenges with influence diagrams: Constructing probability and utility models. Decision Support Systems 49(4): 354-364 (2010) | |
| 17 | Concha Bielza, Juan A. Fernández del Pozo, Pedro Larrañaga, Endika Bengoetxea: Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables. Expert Syst. Appl. 37(1): 804-815 (2010) | |
| 16 | Diego Vidaurre, Concha Bielza, Pedro Larrañaga: Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(5): 1231-1242 (2010) | |
| 2009 | ||
| 15 | Roberto Santana, Concha Bielza, José Antonio Lozano, Pedro Larrañaga: Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. GECCO 2009: 445-452 | |
| 14 | Elva Díaz, Eunice Ponce de Leon, Pedro Larrañaga, Concha Bielza: Probabilistic Graphical Markov Model Learning: An Adaptive Strategy. MICAI 2009: 225-236 | |
| 13 | Alfonso Ibáñez, Pedro Larrañaga, Concha Bielza: Predicting citation count of Bioinformatics papers within four years of publication. Bioinformatics 25(24): 3303-3309 (2009) | |
| 2008 | ||
| 12 | Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, Jose Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga: A review of estimation of distribution algorithms in bioinformatics. BioData Mining 1: (2008) | |
| 11 | Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas: Explaining clinical decisions by extracting regularity patterns. Decision Support Systems 44(2): 397-408 (2008) | |
| 2006 | ||
| 10 | 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 in Bioinformatics 7(1): 86-112 (2006) | |
| 2005 | ||
| 9 | Juan A. Fernández del Pozo, Concha Bielza, Manuel Gómez: A list-based compact representation for large decision tables management. European Journal of Operational Research 160(3): 638-662 (2005) | |
| 2004 | ||
| 8 | Manuel Gómez, Concha Bielza: Node deletion sequences in influence diagrams using genetic algorithms. Statistics and Computing 14(3): 181-198 (2004) | |
| 2003 | ||
| 7 | Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas: Finding and Explaining Optimal Treatments. AIME 2003: 299-303 | |
| 2002 | ||
| 6 | Juan A. Fernández del Pozo, Concha Bielza: An Interactive Framework for Open Queries in Decision Support Systems. IBERAMIA 2002: 254-264 | |
| 5 | Roberto O. Puch, Jim Q. Smith, Concha Bielza: Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees. Probabilistic Graphical Models 2002 | |
| 4 | Juan A. Fernández del Pozo, Concha Bielza: New Structures for Conditional Probability Tables. Probabilistic Graphical Models 2002 | |
| 2001 | ||
| 3 | Juan A. Fernández del Pozo, Concha Bielza, Manuel Gómez: Knowledge Organisation in a Neonatal Jaundice Decision Support System. ISMDA 2001: 88-94 | |
| 2000 | ||
| 2 | Concha Bielza, Manuel Gómez, Sixto Ríos-Insua, Juan A. Fernández del Pozo: Structural, elicitation and computational issues faced when solving complex decision making problems with influence diagrams. Computers & OR 27(7-8): 725-740 (2000) | |
| 1999 | ||
| 1 | Concha Bielza, Sixto Ríos-Insua, Manuel Gómez: Influence Diagrams for Neonatal Jaundice Management. AIMDM 1999: 138-142 | |
Colors in the list of coauthors
Last update Sun May 27 04:04:01 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page