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1

Evolutionary simultaneous under and oversampling of instanc..:

García-Pedrajas, Nicolás ; Cuevas-Muñoz, José M. ; de Haro-García, Aida
Applied Soft Computing. 159 (2024) - p. 111618 , 2024

Link: https://doi.org/10.1016/..

2

PARIS: Partial instance and training set selection. A new s..:

García-Pedrajas, Nicolás ; Cuevas-Muñoz, José M. ; Romero del Castillo, Juan A..
Information Fusion. 95 (2023) - p. 120-142 , 2023

Link: https://doi.org/10.1016/..

3

Local-based k values for multi-label k-nearest neighbors ru..:

Romero-del-Castillo, J.A. ; Mendoza-Hurtado, Manuel ; Ortiz-Boyer, Domingo.
Engineering Applications of Artificial Intelligence. 116 (2022) - p. 105487 , 2022

Link: https://doi.org/10.1016/..

4

Graph-Based Feature Selection Approach for Molecular Activi..:

Cerruela-García, Gonzalo ; Cuevas-Muñoz, José Manuel ; García-Pedrajas, Nicolás
Journal of Chemical Information and Modeling. 62 (2022) 7 - p. 1618-1632 , 2022

Link: https://doi.org/10.1021/..

5

MABUSE: A margin optimization based feature subset selectio..:

García-Pedrajas, Nicolás ; Cerruela-García, Gonzalo
Knowledge-Based Systems. 253 (2022) - p. 109529 , 2022

Link: https://doi.org/10.1016/..

6

Nonlinear physics opens a new paradigm for accurate transcr..:

Barbero-Aparicio, José Antonio ; Cuesta-Lopez, Santiago ; García-Osorio, César Ignacio..
BMC Bioinformatics. 23 (2022) 1 - p. , 2022

Link: https://doi.org/10.1186/..

7

Cooperative coevolutionary instance selection for multilabe..:

García-Pedrajas, Nicolás ; Cerruela-García, Gonzalo
Knowledge-Based Systems. 234 (2021) - p. 107569 , 2021

Link: https://doi.org/10.1016/..

8

Floating Search Methodology for Combining Classification Mo..:

Perez-Rodriguez, Javier ; de Haro-Garcia, Aida ; Garcia-Pedrajas, Nicolas
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18 (2021) 6 - p. 2471-2482 , 2021

Link: https://doi.org/10.1109/..

9

SI(FS)2: Fast simultaneous instance and feature selection f..:

García-Pedrajas, Nicolás ; del Castillo, Juan A. Romero ; Cerruela-García, Gonzalo
Pattern Recognition. 111 (2021) - p. 107723 , 2021

Link: https://doi.org/10.1016/..

10

Ensembles of feature selectors for dealing with class-imbal..:

de Haro-García, Aida ; Cerruela-García, Gonzalo ; García-Pedrajas, Nicolás
Information Sciences. 540 (2020) - p. 89-116 , 2020

Link: https://doi.org/10.1016/..

11

Effective Feature Selection Method for Class-Imbalance Data..:

Antelo-Collado, Aurelio ; Carrasco-Velar, Ramón ; García-Pedrajas, Nicolás.
Journal of Chemical Information and Modeling. 61 (2020) 1 - p. 76-94 , 2020

Link: https://doi.org/10.1021/..

12

Maximum common property: a new approach for molecular simil..:

Antelo-Collado, Aurelio ; Carrasco-Velar, Ramón ; García-Pedrajas, Nicolás.
Journal of Cheminformatics. 12 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

13

Influence of feature rankers in the construction of molecul..:

Cerruela-García, Gonzalo ; Pérez-Parra Toledano, José ; de Haro-García, Aída.
Journal of Computer-Aided Molecular Design. 34 (2019) 3 - p. 305-325 , 2019

Link: https://doi.org/10.1007/..

14

Multilabel and Missing Label Methods for Binary Quantitativ..:

Pérez-Parras Toledano, José ; García-Pedrajas, Nicolás ; Cerruela-García, Gonzalo
Journal of Chemical Information and Modeling. 59 (2019) 10 - p. 4120-4130 , 2019

Link: https://doi.org/10.1021/..

15

Improving the combination of results in the ensembles of pr..:

Cerruela-García, Gonzalo ; de Haro-García, Aida ; Toledano, José Pérez-Parras.
Neural Networks. 118 (2019) - p. 175-191 , 2019

Link: https://doi.org/10.1016/..

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