José Manuel Cuevas-Muñoz

According to our database, José Manuel Cuevas-Muñoz authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Sentiment analysis on review texts using category of words information and string kernels.

José Manuel Cuevas-Muñoz, Nicolás García-Pedrajas, Aida de Haro-García

Appl. Intell., May, 2026

False flag: An evolutionary false labeling approach for multilabel classification.

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Manuel Mendoza-Hurtado, Javier Pérez-Rodríguez, Aida de Haro-García

Appl. Soft Comput., 2026

2024

A thorough experimental comparison of multilabel methods for classification performance.

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Gonzalo Cerruela García, Aida de Haro-García

Pattern Recognit., 2024

Extensive experimental comparison among multilabel methods focused on ranking performance.

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Gonzalo Cerruela García, Aida de Haro-García

Inf. Sci., 2024

Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems.

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Aida de Haro-García

Appl. Soft Comput., 2024

2023

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

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Juan Antonio Romero del Castillo, Aida de Haro-García

Inf. Fusion, July, 2023

2022

Graph-Based Feature Selection Approach for Molecular Activity Prediction.

Gonzalo Cerruela García, José Manuel Cuevas-Muñoz, Nicolás García-Pedrajas

J. Chem. Inf. Model., 2022