Juan Antonio Romero del Castillo

11 papers C 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Label repopulation through evolutionary computation for addressing challenging multilabel problems.
Appl. Soft Comput.
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Aida de Haro-García
2024 J jnl
SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques.
ISPRS Int. J. Geo Inf.
Manuel Mendoza-Hurtado, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer
2023 J jnl
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification.
Inf. Fusion
Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Juan Antonio Romero del Castillo, Aida de Haro-García
2022 J jnl
Local-based k values for multi-label k-nearest neighbors rule.
Eng. Appl. Artif. Intell.
Juan Antonio Romero del Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2021 — conf
Instance selection for multi-label learning based on a scalable evolutionary algorithm.
ICDM (Workshops)
Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2021 J jnl
SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features.
Pattern Recognit.
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
2018 J jnl
A general framework for boosting feature subset selection algorithms.
Inf. Fusion
Javier Pérez-Rodríguez, Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
2017 J jnl
A Proposal for Local k Values for k-Nearest Neighbor Rule.
IEEE Trans. Neural Networks Learn. Syst.
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
2012 J jnl
Large scale instance selection by means of federal instance selection.
Data Knowl. Eng.
Aida de Haro-García, Nicolás García-Pedrajas, Juan Antonio Romero del Castillo
2010 J jnl
A cooperative coevolutionary algorithm for instance selection for instance-based learning.
Mach. Learn.
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer
2010 C conf
Large Scale Instance Selection by Means of a Parallel Algorithm.
IDEAL
Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas