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Jose M. Moyano
Jose M. Moyano
Departamento de Informática y Análisis Numérico. Universidad de Córdoba
Dirección de correo verificada de uco.es - Página principal
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Año
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
2082017
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
1172018
MLDA: A tool for analyzing multi-label datasets
JM Moyano, EL Gibaja, S Ventura
Knowledge-Based Systems 121, 1-3, 2017
252017
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
232017
An evolutionary approach to build ensembles of multi-label classifiers
JM Moyano, EL Gibaja, KJ Cios, S Ventura
Information Fusion 50, 168-180, 2019
202019
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
102020
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
102016
RKEEL: using KEEL in R code
J Moyano, L Sanchez
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 257-264, 2016
82016
Performing multi-target regression via gene expression programming-based ensemble models
JM Moyano, O Reyes, HM Fardoun, S Ventura
Neurocomputing 432, 275-287, 2021
72021
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
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers
JM Moyano, S Ventura
Information Fusion 78, 1-19, 2022
32022
Speeding Up Classifier Chains in Multi-label Classification.
JM Moyano, E Gibaja, S Ventura, A Cano
IoTBDS, 29-37, 2019
32019
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
12018
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
12017
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
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification
JM Moyano, JM Luna, S Ventura
IEEE Access 10, 76480-76492, 2022
2022
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
2021
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms
JM Moyano, EL Gibaja, KJ Cios, S Ventura
ECAI 2020, 1379-1386, 2020
2020
Multi-label classification models for heterogeneous data: an ensemble-based approach.
JM Moyano Murillo
2020
Extraccion de factores relevantes en el análisis de datos biomédicos: una metodologıa basada en técnicas de aprendizaje supervisado
O Reyes, JM Moyano, A Rivero-Juárez, RM Luque, A Rivero, J Castano, ...
IX Simposio de Teoría y Aplicaciones de la Minería de Datos, TAMIDA 2018 …, 2018
2018
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