Juan Antonio Romero del Castillo

ISPRS Int. J. Geo Inf., August, 2024

2023

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

[BibT_eX]

[DOI]

José Manuel Cuevas-Muñoz

Inf. Fusion, July, 2023

2022

Local-based k values for multi-label k-nearest neighbors rule.

[BibT_eX]

[DOI]

Manuel Mendoza-Hurtado

Eng. Appl. Artif. Intell., 2022

2021

SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features.

[BibT_eX]

[DOI]

Gonzalo Cerruela García

Pattern Recognit., 2021

Instance selection for multi-label learning based on a scalable evolutionary algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2021 International Conference on Data Mining, 2021

2018

A general framework for boosting feature subset selection algorithms.

[BibT_eX]

[DOI]

Javier Pérez-Rodríguez

Inf. Fusion, 2018

2017

A Proposal for Local k Values for k-Nearest Neighbor Rule.

[BibT_eX]

[DOI]

Gonzalo Cerruela García

IEEE Trans. Neural Networks Learn. Syst., 2017

2012

Large scale instance selection by means of federal instance selection.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2012

2010

A cooperative coevolutionary algorithm for instance selection for instance-based learning.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Large Scale Instance Selection by Means of a Parallel Algorithm.

[BibT_eX]

[DOI]