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ORCIDJuan Antonio Romero del Castillo
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2020 – today
- 2024
[j8]Manuel Mendoza-Hurtado
, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer:
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. 13(8): 289 (2024)- 2023
- [j7]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: 120-142 (2023) - 2022
- [j6]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: 105487 (2022) - 2021
- [j5]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: 107723 (2021) - [c2]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: 843-851
2010 – 2019
- 2018
- [j4]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: 147-175 (2018) - 2017
- [j3]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): 470-475 (2017) - 2012
- [j2]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: 58-77 (2012) - 2010
- [j1]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): 381-420 (2010) - [c1]Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas:
Large Scale Instance Selection by Means of a Parallel Algorithm. IDEAL 2010: 1-12
Coauthor Index
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