Iñaki Inza

发表

A review of feature selection techniques in bioinformatics

Pedro Larrañaga, Yvan Saeys, Iñaki Inza, 2007, Bioinform..

Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)

J. A. Lozano, Iñaki Inza, P. Larrañaga, 2006 .

Optimizing the number of classes in automated zooplankton classification

J. A. Lozano, Iñaki Inza, J. A. Fernandes, 2009 .

Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients

J. A. Lozano, Iñaki Inza, S. Baranzini, 2009, PloS one.

More than one Author with different Affiliations

J. A. Lozano, Iñaki Inza, J. A. Fernandes, 2019 .

Supervised Classification with Gaussian Networks . Filter and Wrapper Approaches

Iñaki Inza, P. Larrañaga, Aritz Pérez, 2004 .

Chapter 2 Machine Learning : An Indispensable Tool in Bioinformatics

J. A. Lozano, Iñaki Inza, P. Larrañaga, 2017 .

ICES CM 2013 / 3034 Q : 01 Forecasting recruitment of multiple fish species using multi-dimensional Bayesian network classifiers

J. A. Lozano, Iñaki Inza, J. A. Fernandes, 2013 .

Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2001, Int. J. Approx. Reason..

Fitting the data from embryo implantation prediction: Learning from label proportions

Iñaki Inza, Jose A Lozano, Jerónimo Hernández-González, 2018, Statistical methods in medical research.

Identification of a biomarker panel for colorectal cancer diagnosis

Pedro Larrañaga, Iñaki Inza, Rubén Armañanzas, 2012, BMC Cancer.

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

Jose A. Lozano, Iñaki Inza, J. A. Lozano, 2019, Artificial Intelligence Review.

Machine Learning : Editorial

Pedro Larrañaga, Jose A. Lozano, Iñaki Inza, 2005 .

Gene Expression Profiling in Limb-Girdle Muscular Dystrophy 2A

Iñaki Inza, Rubén Armañanzas, Ana Cabello, 2008, PloS one.

Forecasting recruitment of multiple fish species using multi-dimensional Bayesian network classifiers.

Jose A. Lozano, Iñaki Inza, Juan Diego Rodríguez, 2013 .

Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms

Concha Bielza, Pedro Larrañaga, Yvan Saeys, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Pedro Larrañaga, Iñaki Inza, Jose L. Flores, 2005, Data Analysis and Visualization in Genomics and Proteomics.

A Semi-supervised Approach to Multi-dimensional Classification with Application to Sentiment Analysis

Iñaki Inza, Juan Diego Rodríguez, Jonathan Ortigosa-Hernández, 2010 .

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

Iñaki Inza, Jerónimo Hernández-González, Iñaki Inza, 2011, CAEPIA.

Editorial

Pedro Larrañaga, Iñaki Inza, José Antonio Lozano, 2005, Machine Learning.

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

Pedro Larrañaga, Iñaki Inza, Borja Calvo, 2013, Comput. Methods Programs Biomed..

Floating Search Methods in Learning Bayesian Networks

Pedro Larrañaga, Iñaki Inza, Rosa Blanco, 2002, Probabilistic Graphical Models.

Bayesian Classifiers with Consensus Gene Selection: A Case Study in the Systemic Lupus Erythematosus

Pedro Larrañaga, Iñaki Inza, Borja Calvo, 2008 .

Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures

Pedro Larrañaga, Iñaki Inza, Borja Calvo, 2009, IEEE Transactions on Information Technology in Biomedicine.

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

J. A. Lozano, Iñaki Inza, Ander Carreño, 2019, Artificial Intelligence Review.

Dealing with the evaluation of supervised classification algorithms

J. A. Lozano, Iñaki Inza, G. Santafé, 2015, Artificial Intelligence Review.

Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms

Pedro Larrañaga, Jose A. Lozano, Iñaki Inza, 2006, Towards a New Evolutionary Computation.

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

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2013, Environ. Model. Softw..

Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS

Pedro Larrañaga, Iñaki Inza, Rosa Blanco, 2005, J. Biomed. Informatics.

A review of estimation of distribution algorithms in bioinformatics

Concha Bielza, Pedro Larrañaga, Yvan Saeys, 2008, BioData Mining.

Triku: a feature selection method based on nearest neighbors for single-cell data

M. Araúzo-Bravo, Iñaki Inza, A. Izeta, 2021, bioRxiv.

Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

Iñaki Inza, José Antonio Lozano, Juan Diego Rodríguez, 2012, Neurocomputing.

Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators

Pedro Larrañaga, Iñaki Inza, Cindy M. H. Kuijpers, 1999, Artificial Intelligence Review.

Machine learning: an indispensable tool in bioinformatics.

Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea, 2010, Methods in molecular biology.

Machine Learning in Bioinformatics

Concha Bielza, Pedro Larrañaga, Iñaki Inza, 2008, Encyclopedia of Database Systems.

Gene Selection For Cancer Classification Using Wrapper Approaches

ROSA BLANCO, PEDRO LARRAÑAGA, IÑAKI INZA, 2004, Int. J. Pattern Recognit. Artif. Intell..

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

Iñaki Inza, Basilio Sierra, Rosa Blanco, 2002, J. Intell. Fuzzy Syst..

Filter versus wrapper gene selection approaches in DNA microarray domains

Pedro Larrañaga, Iñaki Inza, Rosa Blanco, 2004, Artif. Intell. Medicine.

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

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2016, Pattern Recognit. Lett..

Feature Subset Selection by Bayesian network-based optimization

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2000, Artif. Intell..

Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes

Pedro Larrañaga, Iñaki Inza, Aritz Pérez Martínez, 2006, Int. J. Approx. Reason..

Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2001, Artif. Intell. Medicine.

Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks

Pedro Larrañaga, Iñaki Inza, José Antonio Lozano, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Representing the behaviour of supervised classification learning algorithms by Bayesian networks

I Inza, P Larrañaga, B Sierra, 1999, Pattern Recognit. Lett..

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

Iñaki Inza, José Antonio Lozano, Jonathan Ortigosa-Hernández, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Bayesian classifiers based on kernel density estimation: Flexible classifiers

Pedro Larrañaga, Iñaki Inza, Aritz Pérez Martínez, 2009, Int. J. Approx. Reason..

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

Pedro Larrañaga, Iñaki Inza, Rubén Armañanzas, 2008, Comput. Methods Programs Biomed..

Fish recruitment prediction, using robust supervised classification methods

Jose A. Lozano, Iñaki Inza, Jose A. Fernandes, 2010 .

Wrapper discretization by means of estimation of distribution algorithms

Pedro Larrañaga, Iñaki Inza, Jose Luis Flores, 2007, Intell. Data Anal..

Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2001, AIME.

Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics

Jose A. Lozano, Iñaki Inza, Pablo Rozas Larraondo, 2020, Journal of Advances in Modeling Earth Systems.

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

Iñaki Inza, Alexander Mendiburu, José Antonio Lozano, 2014, Inf. Sci..

Learning to classify software defects from crowds: A novel approach

Iñaki Inza, José Antonio Lozano, Daniel Rodríguez, 2018, Appl. Soft Comput..

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

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2015, Ecol. Informatics.

A Method for Wind Speed Forecasting in Airports Based on Nonparametric Regression

Jose A. Lozano, Iñaki Inza, Pablo Rozas-Larraondo, 2014 .

SNDProb: A Probabilistic Approach for Streaming Novelty Detection

J. A. Lozano, Iñaki Inza, Ander Carreño, 2023, IEEE Transactions on Knowledge and Data Engineering.

Efficient approximation of probability distributions with k-order decomposable models

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2016, Int. J. Approx. Reason..

Dealing with the evaluation of supervised classification algorithms

Iñaki Inza, José Antonio Lozano, Guzmán Santafé, 2015, Artificial Intelligence Review.

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

Iñaki Inza, José Antonio Lozano, Aritz Pérez Martínez, 2013, CAEPIA.

Medical Bayes Networks

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2000, ISMDA.

Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2001, Artif. Intell. Medicine.

Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 1999, AIMDM.

Feature Subset Selection by Estimation of Distribution Algorithms

Pedro Larrañaga, Iñaki Inza, Basilio Sierra, 2002, Estimation of Distribution Algorithms.

A system for airport weather forecasting based on circular regression trees

Iñaki Inza, José Antonio Lozano, Pablo Rozas Larraondo, 2018, Environ. Model. Softw..

A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks

Jose A. Lozano, Pablo Rozas Larraondo, Luigi J. Renzullo, 2019, 1903.10274.

Aggregated outputs by linear models: An application on marine litter beaching prediction

Iñaki Inza, Jerónimo Hernández-González, Oihane C. Basurko, 2019, Inf. Sci..

Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2015, Int. J. Intell. Syst..

Learning from Crowds in Multi-dimensional Classification Domains

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2013, CAEPIA.

Measuring the class-imbalance extent of multi-class problems

Iñaki Inza, José Antonio Lozano, Jonathan Ortigosa-Hernández, 2017, Pattern Recognit. Lett..

Learning from Proportions of Positive and Unlabeled Examples

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2017, Int. J. Intell. Syst..

Learning Bayesian network classifiers from label proportions

Iñaki Inza, José Antonio Lozano, Jerónimo Hernández-González, 2013, Pattern Recognit..

Gene expression A review of feature selection techniques in bioinformatics

Y. Saeys, Iñaki Inza, P. Larrañaga, 2007 .

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

Pedro Larrañaga, Iñaki Inza, Rosa Blanco, 2003, Int. J. Intell. Syst..

Identification of a biomarker panel for colorectal cancer diagnosis

Iñaki Inza, P. Larrañaga, B. Suárez-Merino, 2012, BMC Cancer.

Fitting the data from embryo implantation prediction: Learning from label proportions

María A Guembe, J. A. Lozano, Iñaki Inza, 2018, Statistical Methods in Medical Research.

A review of feature selection techniques in bioinformatics

Iñaki Inza, Yvan Saeys, Pedro Larrañaga, 2007, Bioinform..

Automating weather forecasts based on convolutional networks

Jose A. Lozano, Iñaki Inza, Pablo Rozas Larraondo, 2017 .

A review of feature selection techniques in bioinformatics

Iñaki Inza, Yvan Saeys, Pedro Larrañaga, 2007, Bioinform..

Machine learning in bioinformatics

Aritz Pérez Martínez, C. Bielza, Iñaki Inza, 2006, Briefings Bioinform..

Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization

Iñaki Inza, A. Díaz, S. García-Gutiérrez, 2022, AIME.

Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial

Miguel A. Molina-Cabello, Stephan M. Winkler, David F. Barrero, 2016 .