Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit. - Basilio Sierra; Nicolás Serrano; Pedro Larrañaga; Eliseo J. Plasencia; Iñaki Inza; Juan José Jiménez; Jose María De la Rosa; María Luisa Mora (AIMDM, 1999)

Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators. - Pedro Larrañaga; Cindy M. H. Kuijpers; Roberto H. Murga; Iñaki Inza; S. Dizdarevic (Artif. Intell. Rev., 1999)

Representing the behaviour of supervised classification learning algorithms by Bayesian networks. - Iñaki Inza; Pedro Larrañaga; Basilio Sierra; Ramon Etxeberria; José Antonio Lozano 001; José M. Peña 001 (Pattern Recognit. Lett., 1999)

Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. - Iñaki Inza; Marisa Merino; Pedro Larrañaga; Jorge Quiroga; Basilio Sierra; Marcos Girala (ISMDA, 2000)

Medical Bayes Networks. - Basilio Sierra; Iñaki Inza; Pedro Larrañaga (ISMDA, 2000)

Feature Subset Selection by Bayesian network-based optimization. - Iñaki Inza; Pedro Larrañaga; Ramon Etxeberria; Basilio Sierra (Artif. Intell., 2000)

Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. - Basilio Sierra; Elena Lazkano; Iñaki Inza; Marisa Merino; Pedro Larrañaga; Jorge Quiroga (AIME, 2001)

On Applying Supervised Classification Techniques in Medicine. - Basilio Sierra; Iñaki Inza; Pedro Larrañaga (ISMDA, 2001)

Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS. - Iñaki Inza; Marisa Merino; Pedro Larrañaga; Jorge Quiroga; Basilio Sierra; Marcos Girala (Artif. Intell. Medicine, 2001)

Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data. - Basilio Sierra; Nicolás Serrano; Pedro Larrañaga; Eliseo J. Plasencia; Iñaki Inza; Juan José Jiménez; Pedro Revuelta; María Luisa Mora (Artif. Intell. Medicine, 2001)

Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. - Iñaki Inza; Pedro Larrañaga; Basilio Sierra (Int. J. Approx. Reason., 2001)

Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. - José M. Peña 001; José Antonio Lozano 001; Pedro Larrañaga; Iñaki Inza (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Feature Subset Selection by Estimation of Distribution Algorithms. - Iñaki Inza; Pedro Larrañaga; Basilio Sierra (Estimation of Distribution Algorithms, 2002)

Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms. - Iñaki Inza; Pedro Larrañaga; Basilio Sierra (Estimation of Distribution Algorithms, 2002)

Rule Induction by Estimation of Distribution Algorithms. - Basilio Sierra; E. A. Jiménez; Iñaki Inza; Pedro Larrañaga; J. Muruzábal (Estimation of Distribution Algorithms, 2002)

Floating Search Methods in Learning Bayesian Networks. - Rosa Blanco; Iñaki Inza; Pedro Larrañaga (Probabilistic Graphical Models, 2002)

Gene selection by sequential search wrapper approaches in microarray cancer class prediction. - Iñaki Inza; Basilio Sierra; Rosa Blanco (J. Intell. Fuzzy Syst., 2002)

Learning Bayesian networks in the space of structures by estimation of distribution algorithms. - Rosa Blanco; Iñaki Inza; Pedro Larrañaga (Int. J. Intell. Syst., 2003)

Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. - Rosa Blanco; Linda C. van der Gaag; Iñaki Inza; Pedro Larrañaga (ISBMDA, 2004)

Filter versus wrapper gene selection approaches in DNA microarray domains. - Iñaki Inza; Pedro Larrañaga; Rosa Blanco; Antonio J. Cerrolaza (Artif. Intell. Medicine, 2004)

Gene Selection For Cancer Classification Using Wrapper Approaches. - Rosa Blanco; Pedro Larrañaga; Iñaki Inza; Basilio Sierra (Int. J. Pattern Recognit. Artif. Intell., 2004)

A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models. - Pedro Larrañaga; Iñaki Inza; Jose Luis Flores 001 (Data Analysis and Visualization in Genomics and Proteomics, 2005)

Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS. - Rosa Blanco; Iñaki Inza; Marisa Merino; Jorge Quiroga; Pedro Larrañaga (J. Biomed. Informatics, 2005)

Editorial. - Pedro Larrañaga; José Antonio Lozano 001; José M. Peña 001; Iñaki Inza (Mach. Learn., 2005)

Information Theory and Classification Error in Probabilistic Classifiers. - Aritz Pérez Martínez; Pedro Larrañaga; Iñaki Inza (Discovery Science, 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)

Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. - Aritz Pérez Martínez; Pedro Larrañaga; Iñaki Inza (Int. J. Approx. Reason., 2006)

A review of feature selection techniques in bioinformatics. - Yvan Saeys; Iñaki Inza; Pedro Larrañaga (Bioinform., 2007)

Wrapper discretization by means of estimation of distribution algorithms. - Jose Luis Flores 001; Iñaki Inza; Pedro Larrañaga (Intell. Data Anal., 2007)

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)

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. - Rubén Armañanzas; Iñaki Inza; Pedro Larrañaga (Comput. Methods Programs Biomed., 2008)

Preface. - Yvan Saeys; Huan Liu; Iñaki Inza; Louis Wehenkel; Yves Van de Peer (FSDM, 2008)

Bayesian classifiers based on kernel density estimation: Flexible classifiers. - Aritz Pérez Martínez; Pedro Larrañaga; Iñaki Inza (Int. J. Approx. Reason., 2009)

Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. - Rubén Armañanzas; Borja Calvo; Iñaki Inza; Marcos López-Hoyos; Víctor Martínez-Taboada; Eduardo Ucar; Irantzu Bernales; Asier Fullaondo; Pedro Larrañaga; Ana M. Zubiaga (IEEE Trans. Inf. Technol. Biomed., 2009)

Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions. - Jerónimo Hernández-González; Iñaki Inza (CAEPIA, 2011)

Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. - Rubén Armañanzas; Yvan Saeys; Iñaki Inza; Miguel García-Torres; Concha Bielza; Yves Van de Peer; Pedro Larrañaga (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers. - Jonathan Ortigosa-Hernández; Juan Diego Rodríguez; Leandro Alzate; Manuel Lucania; Iñaki Inza; José Antonio Lozano 001 (Neurocomputing, 2012)

Wrapper positive Bayesian network classifiers. - Borja Calvo; Iñaki Inza; Pedro Larrañaga; José Antonio Lozano 001 (Knowl. Inf. Syst., 2012)

Learning from Crowds in Multi-dimensional Classification Domains. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (CAEPIA, 2013)

Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions. - Aritz Pérez Martínez; José Antonio Lozano 001; Iñaki Inza (CAEPIA, 2013)

A new measure for gene expression biclustering based on non-parametric correlation. - Jose Luis Flores 001; Iñaki Inza; Pedro Larrañaga; Borja Calvo (Comput. Methods Programs Biomed., 2013)

Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting. - Jose A. Fernandes; José Antonio Lozano 001; Iñaki Inza; Xabier Irigoien; Aritz Pérez; Juan Diego Rodríguez (Environ. Model. Softw., 2013)

Learning Bayesian network classifiers from label proportions. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (Pattern Recognit., 2013)

Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. - Ramón Sagarna; Alexander Mendiburu; Iñaki Inza; José Antonio Lozano 001 (Inf. Sci., 2014)

A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (CAEPIA, 2015)

Dealing with the evaluation of supervised classification algorithms. - Guzmán Santafé; Iñaki Inza; José Antonio Lozano 001 (Artif. Intell. Rev., 2015)

Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species. - Jose A. Fernandes; Xabier Irigoien; José Antonio Lozano 001; Iñaki Inza; Nerea Goikoetxea; Aritz Pérez Martínez (Ecol. Informatics, 2015)

Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (Int. J. Intell. Syst., 2015)

Efficient approximation of probability distributions with k-order decomposable models. - Aritz Pérez; Iñaki Inza; José Antonio Lozano 001 (Int. J. Approx. Reason., 2016)

Weak supervision and other non-standard classification problems: A taxonomy. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (Pattern Recognit. Lett., 2016)

Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study. - Jonathan Ortigosa-Hernández; Iñaki Inza; José Antonio Lozano 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Learning from Proportions of Positive and Unlabeled Examples. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (Int. J. Intell. Syst., 2017)

Measuring the class-imbalance extent of multi-class problems. - Jonathan Ortigosa-Hernández; Iñaki Inza; José Antonio Lozano 001 (Pattern Recognit. Lett., 2017)

Learning to classify software defects from crowds: A novel approach. - Jerónimo Hernández-González; Daniel Rodríguez 001; Iñaki Inza; Rachel Harrison; José Antonio Lozano 001 (Appl. Soft Comput., 2018)

A system for airport weather forecasting based on circular regression trees. - Pablo Rozas Larraondo; Iñaki Inza; José Antonio Lozano 001 (Environ. Model. Softw., 2018)

Aggregated outputs by linear models: An application on marine litter beaching prediction. - Jerónimo Hernández-González; Iñaki Inza; Igor Granado; Oihane C. Basurko; Jose A. Fernandes; José Antonio Lozano 001 (Inf. Sci., 2019)

A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators. - Jerónimo Hernández-González; Iñaki Inza; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2019)

Using Convolutional Neural Network for Chest X-ray Image classification. - Matija Soric; Danijela Pongrac; Iñaki Inza (MIPRO, 2020)

Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework. - Ander Carreño; Iñaki Inza; José Antonio Lozano 001 (Artif. Intell. Rev., 2020)

Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. - Mario Martínez-García; Susana García-Gutierrez; Rubén Armañanzas; Adrián Díaz; Iñaki Inza; José Antonio Lozano 001 (AIME, 2022)

Vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine. - Amaia Arregi; Iñaki Inza; Iñigo Bediaga (DEXA Workshops, 2022)

Evolved Neural Networks for Building Energy Prediction. - Roberto Santana 001; Irati Prol-Godoy; Ana Picallo-Pérez; Iñaki Inza (SSCI, 2023)

SNDProb: A Probabilistic Approach for Streaming Novelty Detection. - Ander Carreño; Iñaki Inza; José Antonio Lozano 001 (IEEE Trans. Knowl. Data Eng., 2023)

Continuous estimation of distribution algorithms for the parametric optimization of geothermal power plants. - Roberto Santana 001; Iñaki Inza; Irati Prol-Godoy; Ana Picallo-Pérez (CIIS, 2024)

Extending the learning using privileged information paradigm to logistic regression. - Mario Martínez-García; Susana García-Gutierrez; Lasai Barreñada; Iñaki Inza; José Antonio Lozano 001 (Neurocomputing, 2025)

Teacher privileged distillation: How to deal with imperfect teachers? - Mario Martínez-García; Iñaki Inza; José Antonio Lozano 001 (Knowl. Based Syst., 2025)