Juan Antonio Romero del Castillo

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 6

Top Topics

Text Categorization

Instance Selection

Nearest Neighbor

Selecting Relevant Features

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Eng. Appl. Artif. Intell.

Publications

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Juan Antonio Romero del Castillo, Aida de Haro-García
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification. Inf. Fusion 95 (2023)
Juan Antonio Romero del Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Local-based k values for multi-label k-nearest neighbors rule. Eng. Appl. Artif. Intell. 116 (2022)
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features. Pattern Recognit. 111 (2021)
Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Instance selection for multi-label learning based on a scalable evolutionary algorithm. ICDM (Workshops) (2021)
Javier Pérez-Rodríguez, Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
A general framework for boosting feature subset selection algorithms. Inf. Fusion 44 (2018)
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
A Proposal for Local k Values for k-Nearest Neighbor Rule. IEEE Trans. Neural Networks Learn. Syst. 28 (2) (2017)
Aida de Haro-García, Nicolás García-Pedrajas, Juan Antonio Romero del Castillo
Large scale instance selection by means of federal instance selection. Data Knowl. Eng. 75 (2012)
Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
Large Scale Instance Selection by Means of a Parallel Algorithm. IDEAL (2010)
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer
A cooperative coevolutionary algorithm for instance selection for instance-based learning. Mach. Learn. 78 (3) (2010)