| 2022 | AISTATS | Diversity and Generalization in Neural Network Ensembles. | Luis A. Ortega, Rafael Cabaas, Andrs R. Masegosa |
| 2018 | IPMU | Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models. | Rafael Cabaas, Andrs Cano, Manuel Gmez-Olmedo, Andrs R. Masegosa, Serafn Moral |
| 2017 | ICML | Bayesian Models of Data Streams with Hierarchical Power Priors. | Andrs R. Masegosa, Thomas D. Nielsen, Helge Langseth, Daro Ramos-Lpez, Antonio Salmern, Anders L. Madsen |
| 2016 | ECAI | Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. | Antonio Salmern, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Daro Ramos-Lpez, Ana M. Martnez, Andrs R. Masegosa |
| 2016 | ICDM | Financial Data Analysis with PGMs Using AMIDST. | Rafael Cabaas, Ana M. Martnez, Andrs R. Masegosa, Daro Ramos-Lpez, Antonio Salmern, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen |
| 2015 | IDA | Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. | Hanen Borchani, Ana M. Martnez, Andrs R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmern, Antonio Fernndez, Anders L. Madsen, Ramn Sez |
| 2014 | UAI | Stochastic Discriminative EM. | Andrs R. Masegosa |
| 2011 | ECSQARU | Locally Averaged Bayesian Dirichlet Metrics. | Andrs Cano, Manuel Gmez-Olmedo, Andrs R. Masegosa, Serafn Moral |
| 2011 | ISDA | Learning with Bayesian networks and probability trees to approximate a joint distribution. | Andrs Cano, Manuel Gmez-Olmedo, Andrs R. Masegosa, Serafn Moral |
| 2011 | PACBB | Riskoweb: Web-Based Genetic Profiling to Complex Disease Using Genome-Wide SNP Markers. | Sergio Torres-Snchez, Rosana Montes-Soldado, Nuria Medina-Medina, Andrs R. Masegosa, Mara del Mar Abad-Grau |
| 2010 | IPMU | An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data. | Andrs Cano, Andrs R. Masegosa, Serafn Moral |
| 2009 | ECSQARU | An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise. | Joaqun Abelln, Andrs R. Masegosa |
| 2009 | ECSQARU | A Bayesian Random Split to Build Ensembles of Classification Trees. | Andrs Cano, Andrs R. Masegosa, Serafn Moral |
| 2007 | ECIR | Evaluating Query-Independent Object Features for Relevancy Prediction. | Andrs R. Masegosa, Hideo Joho, Joemon M. Jose |
| 2007 | ECSQARU | A Semi-naive Bayes Classifier with Grouping of Cases. | Joaqun Abelln, Andrs Cano, Andrs R. Masegosa, Serafn Moral |
| 2007 | ECSQARU | Split Criterions for Variable Selection Using Decision Trees. | Joaqun Abelln, Andrs R. Masegosa |
| 2007 | ECSQARU | Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures. | Joaqun Abelln, Andrs R. Masegosa |
| 2007 | SIGIR | Effects of highly agreed documents in relevancy prediction. | Andrs R. Masegosa, Hideo Joho, Joemon M. Jose |
| 2005 | ECSQARU | Selective Gaussian Nave Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. | Andrs Cano, Francisco Javier Garca Castellano, Andrs R. Masegosa, Serafn Moral |
| 2005 | ECSQARU | Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. | Andrs Cano, Francisco Javier Garca Castellano, Andrs R. Masegosa, Serafn Moral |