Aida de Haro-García

Pattern Recognit., 2024

Extensive experimental comparison among multilabel methods focused on ranking performance.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

2023

PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification.

[BibT_eX]

[DOI]

Inf. Fusion, July, 2023

2022

Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors.

[BibT_eX]

[DOI]

José Pérez-Parras Toledano

IEEE Trans. Cybern., 2022

2021

Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020

Influence of feature rankers in the construction of molecular activity prediction models.

[BibT_eX]

[DOI]

José Pérez-Parras Toledano

J. Comput. Aided Mol. Des., 2020

Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study.

[BibT_eX]

[DOI]

Inf. Sci., 2020

2019

Instance selection based on boosting for instance-based learners.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Improving the combination of results in the ensembles of prototype selectors.

[BibT_eX]

[DOI]

José Pérez-Parras Toledano

Neural Networks, 2019

2018

Combining three strategies for evolutionary instance selection for instance-based learning.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2018

A general framework for boosting feature subset selection algorithms.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

2014

Boosting instance selection algorithms.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection.

[BibT_eX]

[DOI]

Evol. Comput., 2014

2013

OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

A scalable approach to simultaneous evolutionary instance and feature selection.

[BibT_eX]

[DOI]

Inf. Sci., 2013

2012

A Scalable Feature Selection Method to Improve the Analysis of Microarrays.

[BibT_eX]

[DOI]

Proceedings of the Modern Advances in Intelligent Systems and Tools, 2012

Scaling up data mining algorithms: review and taxonomy.

[BibT_eX]

[DOI]

Prog. Artif. Intell., 2012

Large scale instance selection by means of federal instance selection.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2012

2011

A scalable method for instance selection for class-imbalance datasets.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Feature Selection for Translation Initiation Site Recognition.

[BibT_eX]

[DOI]

Proceedings of the Modern Approaches in Applied Intelligence, 2011

Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2011

A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets.

[BibT_eX]

[DOI]

César Ignacio García-Osorio

Proceedings of the Advances in Artificial Intelligence, 2011

2010

Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts.

[BibT_eX]

[DOI]

Artif. Intell., 2010

Scaling Up Feature Selection by Means of Democratization.

[BibT_eX]

[DOI]

Proceedings of the Trends in Applied Intelligent Systems, 2010

Large Scale Instance Selection by Means of a Parallel Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

2009

A divide-and-conquer recursive approach for scaling up instance selection algorithms.

[BibT_eX]

[DOI]