Iñaki Inza - RankMe

70 papers B 3Journal 45Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Privileged learning via a multi-task distilled approach. Pattern Recognit. Mario Martínez-García, Jon Vadillo, Marco Pedersoli, Iñaki Inza, José Antonio Lozano
2025	J	`jnl`	Extending the learning using privileged information paradigm to logistic regression. Neurocomputing Mario Martínez-García, Susana García-Gutierrez, Lasai Barreñada, Iñaki Inza, José Antonio Lozano
2025	J	`jnl`	Teacher privileged distillation: How to deal with imperfect teachers? Knowl. Based Syst. Mario Martínez-García, Iñaki Inza, José Antonio Lozano
2024	—	`conf`	Continuous estimation of distribution algorithms for the parametric optimization of geothermal power plants. CIIS Roberto Santana, Iñaki Inza, Irati Prol-Godoy, Ana Picallo-Pérez
2023	—	`conf`	Evolved Neural Networks for Building Energy Prediction. SSCI Roberto Santana, Irati Prol-Godoy, Ana Picallo-Pérez, Iñaki Inza
2023	—	`conf`	Learning a logistic regression with the help of unknown features at prediction stage. CAI Mario Martínez-García, Iñaki Inza, José Antonio Lozano
2023	J	`jnl`	SNDProb: A Probabilistic Approach for Streaming Novelty Detection. IEEE Trans. Knowl. Data Eng. Ander Carreño, Iñaki Inza, José Antonio Lozano
2022	B	`conf`	Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. AIME Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano
2022	—	`conf`	Vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine. DEXA Workshops Amaia Arregi, Iñaki Inza, Iñigo Bediaga
2020	J	`jnl`	Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework. Artif. Intell. Rev. Ander Carreño, Iñaki Inza, José Antonio Lozano
2020	—	`conf`	Using Convolutional Neural Network for Chest X-ray Image classification. MIPRO Matija Soric, Danijela Pongrac, Iñaki Inza
2019	J	`jnl`	A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators. IEEE Trans. Knowl. Data Eng. Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2019	J	`jnl`	Aggregated outputs by linear models: An application on marine litter beaching prediction. Inf. Sci. Jerónimo Hernández-González, Iñaki Inza, Igor Granado, Oihane C. Basurko, Jose A. Fernandes, José Antonio Lozano
2018	J	`jnl`	A system for airport weather forecasting based on circular regression trees. Environ. Model. Softw. Pablo Rozas Larraondo, Iñaki Inza, José Antonio Lozano
2018	J	`jnl`	Learning to classify software defects from crowds: A novel approach. Appl. Soft Comput. Jerónimo Hernández-González, Daniel Rodríguez, Iñaki Inza, Rachel Harrison, José Antonio Lozano
2017	J	`jnl`	Learning from Proportions of Positive and Unlabeled Examples. Int. J. Intell. Syst. Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2017	J	`jnl`	Measuring the class-imbalance extent of multi-class problems. Pattern Recognit. Lett. Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano
2016	J	`jnl`	Efficient approximation of probability distributions with k-order decomposable models. Int. J. Approx. Reason. Aritz Pérez, Iñaki Inza, José Antonio Lozano
2016	J	`jnl`	Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study. IEEE Trans. Neural Networks Learn. Syst. Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano
2016	J	`jnl`	Weak supervision and other non-standard classification problems: A taxonomy. Pattern Recognit. Lett. Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2015	—	`conf`	A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions. CAEPIA Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2015	J	`jnl`	Dealing with the evaluation of supervised classification algorithms. Artif. Intell. Rev. Guzmán Santafé, Iñaki Inza, José Antonio Lozano
2015	J	`jnl`	Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species. Ecol. Informatics Jose A. Fernandes, Xabier Irigoien, José Antonio Lozano, Iñaki Inza, Nerea Goikoetxea, Aritz Pérez Martínez
2015	J	`jnl`	Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection. Int. J. Intell. Syst. Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2014	J	`jnl`	Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. Inf. Sci. Ramón Sagarna, Alexander Mendiburu, Iñaki Inza, José Antonio Lozano
2013	J	`jnl`	A new measure for gene expression biclustering based on non-parametric correlation. Comput. Methods Programs Biomed. Jose Luis Flores, Iñaki Inza, Pedro Larrañaga, Borja Calvo
2013	J	`jnl`	Learning Bayesian network classifiers from label proportions. Pattern Recognit. Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2013	—	`conf`	Learning from Crowds in Multi-dimensional Classification Domains. CAEPIA Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano
2013	—	`conf`	Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions. CAEPIA Aritz Pérez Martínez, José Antonio Lozano, Iñaki Inza
2013	J	`jnl`	Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting. Environ. Model. Softw. Jose A. Fernandes, José Antonio Lozano, Iñaki Inza, Xabier Irigoien, Aritz Pérez, Juan Diego Rodríguez
2012	J	`jnl`	Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers. Neurocomputing Jonathan Ortigosa-Hernández, Juan Diego Rodríguez, Leandro Alzate, Manuel Lucania, Iñaki Inza, José Antonio Lozano
2012	J	`jnl`	Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano
2011	—	`conf`	Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions. CAEPIA Jerónimo Hernández-González, Iñaki Inza
2011	J	`jnl`	Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. IEEE ACM Trans. Comput. Biol. Bioinform. Rubén Armañanzas, Yvan Saeys, Iñaki Inza, Miguel García-Torres, Concha Bielza, Yves Van de Peer, Pedro Larrañaga
2009	J	`jnl`	Bayesian classifiers based on kernel density estimation: Flexible classifiers. Int. J. Approx. Reason. Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza
2009	J	`jnl`	Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. IEEE Trans. Inf. Technol. Biomed. Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga
2008	J	`jnl`	A review of estimation of distribution algorithms in bioinformatics. BioData Min. 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
2008	J	`jnl`	Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. Comput. Methods Programs Biomed. Rubén Armañanzas, Iñaki Inza, Pedro Larrañaga
2008	—	`conf`	Preface. FSDM Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer
2008	—	`ed.`	Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, FSDM 2008, held at ECML-PKDD 2008, Antwerp, Belgium, September 15, 2008 FSDM Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer
2007	J	`jnl`	A review of feature selection techniques in bioinformatics. Bioinform. Yvan Saeys, Iñaki Inza, Pedro Larrañaga
2007	J	`jnl`	Wrapper discretization by means of estimation of distribution algorithms. Intell. Data Anal. Jose Luis Flores, Iñaki Inza, Pedro Larrañaga
2006	B	`conf`	Information Theory and Classification Error in Probabilistic Classifiers. Discovery Science Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza
2006	J	`jnl`	Machine learning in bioinformatics. Briefings Bioinform. Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles
2006	J	`jnl`	Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. Int. J. Approx. Reason. Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza
2006	—	`book`	Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms Towards a New Evolutionary Computation José Antonio Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea
2005	—	`ch.`	A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models. Data Analysis and Visualization in Genomics and Proteomics Pedro Larrañaga, Iñaki Inza, Jose Luis Flores
2005	J	`jnl`	Editorial. Mach. Learn. Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza
2005	J	`jnl`	Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS. J. Biomed. Informatics Rosa Blanco, Iñaki Inza, Marisa Merino, Jorge Quiroga, Pedro Larrañaga
2004	J	`jnl`	Filter versus wrapper gene selection approaches in DNA microarray domains. Artif. Intell. Medicine Iñaki Inza, Pedro Larrañaga, Rosa Blanco, Antonio J. Cerrolaza
2004	J	`jnl`	Gene Selection For Cancer Classification Using Wrapper Approaches. Int. J. Pattern Recognit. Artif. Intell. Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra
2004	—	`conf`	Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. ISBMDA Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga
2003	J	`jnl`	Learning Bayesian networks in the space of structures by estimation of distribution algorithms. Int. J. Intell. Syst. Rosa Blanco, Iñaki Inza, Pedro Larrañaga
2002	—	`ch.`	Feature Subset Selection by Estimation of Distribution Algorithms. Estimation of Distribution Algorithms Iñaki Inza, Pedro Larrañaga, Basilio Sierra
2002	—	`ch.`	Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms. Estimation of Distribution Algorithms Iñaki Inza, Pedro Larrañaga, Basilio Sierra
2002	—	`conf`	Floating Search Methods in Learning Bayesian Networks. Probabilistic Graphical Models Rosa Blanco, Iñaki Inza, Pedro Larrañaga
2002	J	`jnl`	Gene selection by sequential search wrapper approaches in microarray cancer class prediction. J. Intell. Fuzzy Syst. Iñaki Inza, Basilio Sierra, Rosa Blanco
2002	—	`ch.`	Rule Induction by Estimation of Distribution Algorithms. Estimation of Distribution Algorithms Basilio Sierra, E. A. Jiménez, Iñaki Inza, Pedro Larrañaga, J. Muruzábal
2001	J	`jnl`	Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. IEEE Trans. Pattern Anal. Mach. Intell. José M. Peña, José Antonio Lozano, Pedro Larrañaga, Iñaki Inza
2001	J	`jnl`	Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms. Int. J. Approx. Reason. Iñaki Inza, Pedro Larrañaga, Basilio Sierra
2001	J	`jnl`	Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS. Artif. Intell. Medicine Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga, Basilio Sierra, Marcos Girala
2001	—	`conf`	On Applying Supervised Classification Techniques in Medicine. ISMDA Basilio Sierra, Iñaki Inza, Pedro Larrañaga
2001	B	`conf`	Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. AIME Basilio Sierra, Elena Lazkano, Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga
2001	J	`jnl`	Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data. Artif. Intell. Medicine Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Pedro Revuelta, María Luisa Mora
2000	—	`conf`	Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS. ISMDA Iñaki Inza, Marisa Merino, Pedro Larrañaga, Jorge Quiroga, Basilio Sierra, Marcos Girala
2000	J	`jnl`	Feature Subset Selection by Bayesian network-based optimization. Artif. Intell. Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra
2000	—	`conf`	Medical Bayes Networks. ISMDA Basilio Sierra, Iñaki Inza, Pedro Larrañaga
1999	J	`jnl`	Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators. Artif. Intell. Rev. Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Iñaki Inza, S. Dizdarevic
1999	—	`conf`	Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit. AIMDM Basilio Sierra, Nicolás Serrano, Pedro Larrañaga, Eliseo J. Plasencia, Iñaki Inza, Juan José Jiménez, Jose María De la Rosa, María Luisa Mora
1999	J	`jnl`	Representing the behaviour of supervised classification learning algorithms by Bayesian networks. Pattern Recognit. Lett. Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José M. Peña