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Jose M. Moyano
Jose M. Moyano
Assistant professor at Dpt. of Computer Science and Artificial Intelligence, University of Sevilla
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KEEL 3.0: an open source software for multi-stage analysis in data mining
I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, ...
International Journal of Computational Intelligence Systems 10, 1238-1249, 2017
2542017
Review of ensembles of multi-label classifiers: models, experimental study and prospects
JM Moyano, EL Gibaja, KJ Cios, S Ventura
Information Fusion 44, 33-45, 2018
1422018
MLDA: A tool for analyzing multi-label datasets
JM Moyano, EL Gibaja, S Ventura
Knowledge-Based Systems 121, 1-3, 2017
312017
An evolutionary approach to build ensembles of multi-label classifiers
JM Moyano, EL Gibaja, KJ Cios, S Ventura
Information Fusion 50, 168-180, 2019
292019
An evolutionary algorithm for optimizing the target ordering in ensemble of regressor chains
JM Moyano, EL Gibaja, S Ventura
2017 IEEE congress on evolutionary computation (CEC), 2015-2021, 2017
242017
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms
JM Moyano, EL Gibaja, KJ Cios, S Ventura
Knowledge-Based Systems 196, 105770, 2020
152020
An ensemble-based approach for multi-view multi-label classification
EL Gibaja, JM Moyano, S Ventura
Progress in Artificial Intelligence 5 (4), 251-259, 2016
112016
Performing multi-target regression via gene expression programming-based ensemble models
JM Moyano, O Reyes, HM Fardoun, S Ventura
Neurocomputing 432, 275-287, 2021
92021
RKEEL: using KEEL in R code
J Moyano, L Sanchez
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 257-264, 2016
92016
Auto-adaptive grammar-guided genetic programming algorithm to build ensembles of multi-label classifiers
JM Moyano, S Ventura
Information Fusion 78, 1-19, 2022
72022
Tree-shaped ensemble of multi-label classifiers using grammar-guided genetic programming
JM Moyano, EL Gibaja, KJ Cios, S Ventura
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
42020
Speeding Up Classifier Chains in Multi-label Classification.
JM Moyano, E Gibaja, S Ventura, A Cano
IoTBDS, 29-37, 2019
42019
A gene expression programming method for multi-target regression
O Reyes, JM Moyano, JM Luna, S Ventura
Proceedings of the International Conference on Learning and Optimization …, 2018
32018
Genetic Algorithms
S Ventura, JM Luna, JM Moyano
22022
Classification accuracy of hepatitis C virus infection outcome: data mining approach
M Frias, JM Moyano, A Rivero-Juarez, JM Luna, Á Camacho, HM Fardoun, ...
Journal of Medical Internet Research 23 (2), e18766, 2021
22021
Mining association rules in R using the package RKEEL
O Sánchez, JM Moyano, L Sánchez, J Alcála-Fádez
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
22017
Generating ensembles of multi-label classifiers using cooperative coevolutionary algorithms
JM Moyano, EL Gibaja, KJ Cios, S Ventura
ECAI 2020, 1379-1386, 2020
12020
Lack of associations of microRNAs with severe NAFLD in people living with HIV: discovery case-control study
M Frías, D Corona-Mata, JM Moyano, A Camacho-Espejo, P Lopez-Lopez, ...
Frontiers in Endocrinology 14, 2023
2023
AppRendo solo: Aprendizaje-servicio transversal para desarrollo de software accesible
JM Moyano, JJ Escobar, FM García, MJ Rodríguez, ML Rodriguez, ...
Jornadas sobre la Enseñanza Universitaria de la Informática, JENUI 2023, 2023
2023
Improving the Performance of Multi-Label Classifiers via Label Space Reduction
JM Moyano, JM Luna, S Ventura
2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022
2022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20