Iñaki Inza

According to our database, Iñaki Inza authored at least 63 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SNDProb: A Probabilistic Approach for Streaming Novelty Detection.

Ander Carreño, Iñaki Inza, José Antonio Lozano

IEEE Trans. Knowl. Data Eng., June, 2023

Evolved Neural Networks for Building Energy Prediction.

Roberto Santana, Irati Prol-Godoy, Ana Picallo-Pérez, Iñaki Inza

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

Vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine.

Amaia Arregi, Iñaki Inza, Iñigo Bediaga

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

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

Proceedings of the Artificial Intelligence in Medicine, 2022

2020

Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework.

Ander Carreño, Iñaki Inza, José Antonio Lozano

Artif. Intell. Rev., 2020

Using Convolutional Neural Network for Chest X-ray Image classification.

Matija Soric, Danijela Pongrac, Iñaki Inza

Proceedings of the 43rd International Convention on Information, 2020

2019

A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

IEEE Trans. Knowl. Data Eng., 2019

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

Inf. Sci., 2019

2018

A system for airport weather forecasting based on circular regression trees.

Pablo Rozas Larraondo, Iñaki Inza, José Antonio Lozano

Environ. Model. Softw., 2018

Learning to classify software defects from crowds: A novel approach.

Jerónimo Hernández-González, Daniel Rodríguez, Iñaki Inza, Rachel Harrison, José Antonio Lozano

Appl. Soft Comput., 2018

2017

Measuring the class-imbalance extent of multi-class problems.

Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano

Pattern Recognit. Lett., 2017

Learning from Proportions of Positive and Unlabeled Examples.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

Int. J. Intell. Syst., 2017

2016

Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study.

Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano

IEEE Trans. Neural Networks Learn. Syst., 2016

Weak supervision and other non-standard classification problems: A taxonomy.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

Pattern Recognit. Lett., 2016

Efficient approximation of probability distributions with k-order decomposable models.

Aritz Pérez, Iñaki Inza, José Antonio Lozano

Int. J. Approx. Reason., 2016

2015

Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

Int. J. Intell. Syst., 2015

Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species.

Jose A. Fernandes, Xabier Irigoien, José Antonio Lozano, Iñaki Inza, Nerea Goikoetxea, Aritz Pérez Martínez

Ecol. Informatics, 2015

Dealing with the evaluation of supervised classification algorithms.

Guzmán Santafé, Iñaki Inza, José Antonio Lozano

Artif. Intell. Rev., 2015

A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing.

Ramón Sagarna, Alexander Mendiburu, Iñaki Inza, José Antonio Lozano

Inf. Sci., 2014

2013

Learning Bayesian network classifiers from label proportions.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

Pattern Recognit., 2013

Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting.

Jose A. Fernandes, José Antonio Lozano, Iñaki Inza, Xabier Irigoien, Aritz Pérez, Juan Diego Rodríguez

Environ. Model. Softw., 2013

A new measure for gene expression biclustering based on non-parametric correlation.

Jose Luis Flores, Iñaki Inza, Pedro Larrañaga, Borja Calvo

Comput. Methods Programs Biomed., 2013

Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions.

Aritz Pérez Martínez, José Antonio Lozano, Iñaki Inza

Proceedings of the Advances in Artificial Intelligence, 2013

Learning from Crowds in Multi-dimensional Classification Domains.

Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Wrapper positive Bayesian network classifiers.

Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano

Knowl. Inf. Syst., 2012

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

Neurocomputing, 2012

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

Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions.

Jerónimo Hernández-González, Iñaki Inza

Proceedings of the Advances in Artificial Intelligence, 2011

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

Bayesian classifiers based on kernel density estimation: Flexible classifiers.

Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza

Int. J. Approx. Reason., 2009

2008

Preface.

Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer

Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers.

Rubén Armañanzas, Iñaki Inza, Pedro Larrañaga

Comput. Methods Programs Biomed., 2008

A review of estimation of distribution algorithms in bioinformatics.

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

BioData Min., 2008

2007

Wrapper discretization by means of estimation of distribution algorithms.

Jose Luis Flores, Iñaki Inza, Pedro Larrañaga

Intell. Data Anal., 2007

A review of feature selection techniques in bioinformatics.

Yvan Saeys, Iñaki Inza, Pedro Larrañaga

Bioinform., 2007

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

Machine learning in bioinformatics.

Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles

Briefings Bioinform., 2006

Information Theory and Classification Error in Probabilistic Classifiers.

Aritz Pérez Martínez, Pedro Larrañaga, Iñaki Inza

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

Editorial.

Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza

Mach. Learn., 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

A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models.

Pedro Larrañaga, Iñaki Inza, Jose Luis Flores

Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005

2004

Gene Selection For Cancer Classification Using Wrapper Approaches.

Rosa Blanco, Pedro Larrañaga, Iñaki Inza, Basilio Sierra

Int. J. Pattern Recognit. Artif. Intell., 2004

Filter versus wrapper gene selection approaches in DNA microarray domains.

Iñaki Inza, Pedro Larrañaga, Rosa Blanco, Antonio J. Cerrolaza

Artif. Intell. Medicine, 2004

Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer.

Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga

Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

2003

Learning Bayesian networks in the space of structures by estimation of distribution algorithms.

Rosa Blanco, Iñaki Inza, Pedro Larrañaga

Int. J. Intell. Syst., 2003

2002

Gene selection by sequential search wrapper approaches in microarray cancer class prediction.

Iñaki Inza, Basilio Sierra, Rosa Blanco

J. Intell. Fuzzy Syst., 2002

Floating Search Methods in Learning Bayesian Networks.

Rosa Blanco, Iñaki Inza, Pedro Larrañaga

Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Rule Induction by Estimation of Distribution Algorithms.

Basilio Sierra, E. A. Jiménez, Iñaki Inza, Pedro Larrañaga, J. Muruzábal

Proceedings of the Estimation of Distribution Algorithms, 2002

Feature Weighting for Nearest Neighbor by Estimation of Distribution Algorithms.

Iñaki Inza, Pedro Larrañaga, Basilio Sierra

Proceedings of the Estimation of Distribution Algorithms, 2002

Feature Subset Selection by Estimation of Distribution Algorithms.

Iñaki Inza, Pedro Larrañaga, Basilio Sierra

Proceedings of the Estimation of Distribution Algorithms, 2002

2001

Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks.

José M. Peña, José Antonio Lozano, Pedro Larrañaga, Iñaki Inza

IEEE Trans. Pattern Anal. Mach. Intell., 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

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 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

On Applying Supervised Classification Techniques in Medicine.

Basilio Sierra, Iñaki Inza, Pedro Larrañaga

Proceedings of the Medical Data Analysis, Second International Symposium, 2001

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

Proceedings of the Artificial Intelligence Medicine, 2001

2000

Feature Subset Selection by Bayesian network-based optimization.

Iñaki Inza, Pedro Larrañaga, Ramon Etxeberria, Basilio Sierra

Artif. Intell., 2000

Medical Bayes Networks.

Basilio Sierra, Iñaki Inza, Pedro Larrañaga

Proceedings of the Medical Data Analysis, First International Symposium, 2000

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

Proceedings of the Medical Data Analysis, First International Symposium, 2000

1999

Representing the behaviour of supervised classification learning algorithms by Bayesian networks.

Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José M. Peña

Pattern Recognit. Lett., 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

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

Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999