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Antonio J. Rivera
Antonio J. Rivera
Profesor de Ingeniería Informática (Universidad de Jaén)
Adresã de e-mail confirmatã pe ujaen.es
Titlu
Citat de
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Multilabel classification
F Herrera, F Charte, AJ Rivera, MJ Del Jesus, F Herrera, F Charte, ...
Multilabel Classification: Problem Analysis, Metrics and Techniques, 17-31, 2016
3532016
Addressing imbalance in multilabel classification: Measures and random resampling algorithms
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Neurocomputing 163, 3-16, 2015
2722015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Knowledge-Based Systems 89, 385-397, 2015
2322015
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems
FJ Berlanga, AJ Rivera, MJ del Jesús, F Herrera
Information Sciences 180 (8), 1183-1200, 2010
1592010
A methodology for applying k-nearest neighbor to time series forecasting
F Martínez, MP Frías, MD Pérez, AJ Rivera
Artificial Intelligence Review 52 (3), 2019-2037, 2019
1442019
A first approach to deal with imbalance in multi-label datasets
F Charte, A Rivera, MJ del Jesus, F Herrera
Hybrid Artificial Intelligent Systems: 8th International Conference, HAIS …, 2013
982013
Dealing with seasonality by narrowing the training set in time series forecasting with kNN
F Martínez, MP Frías, MD Pérez-Godoy, AJ Rivera
Expert systems with applications 103, 38-48, 2018
792018
Dealing with difficult minority labels in imbalanced mutilabel data sets
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Neurocomputing 326, 39-53, 2019
562019
MLeNN: a first approach to heuristic multilabel undersampling
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Intelligent Data Engineering and Automated Learning–IDEAL 2014: 15th …, 2014
562014
Concurrence among imbalanced labels and its influence on multilabel resampling algorithms
F Charte, A Rivera, MJ del Jesus, F Herrera
Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS …, 2014
522014
MEFASD-BD: multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments-a mapreduce solution
F Pulgar-Rubio, AJ Rivera-Rivas, MD Pérez-Godoy, P González, ...
Knowledge-Based Systems 117, 70-78, 2017
492017
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
MD Pérez-Godoy, A Fernández, AJ Rivera, MJ del Jesus
Pattern Recognition Letters 31 (15), 2375-2388, 2010
432010
Time Series Forecasting with KNN in R: the tsfknn Package.
F Martínez, MP Frías, F Charte, AJ Rivera
R J. 11 (2), 229, 2019
402019
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Neurocomputing 326, 110-122, 2019
402019
LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification
F Charte, AJ Rivera, MJ del Jesus, F Herrera
IEEE transactions on neural networks and learning systems 25 (10), 1842-1854, 2014
392014
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks
AJ Rivera, I Rojas, J Ortega, MJ del Jesus
Soft Computing 11, 655-668, 2007
392007
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines
FJ Pulgar, F Charte, AJ Rivera, MJ del Jesus
Information Fusion 54, 44-60, 2020
382020
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums
F Charte, AJ Rivera, MJ del Jesus, F Herrera
Ieee eurocon 2015-international conference on computer as a tool (eurocon), 1-6, 2015
372015
Training algorithms for radial basis function networks to tackle learning processes with imbalanced data-sets
MD Pérez-Godoy, AJ Rivera, CJ Carmona, MJ del Jesus
Applied Soft Computing 25, 26-39, 2014
372014
Tips, guidelines and tools for managing multi-label datasets: The mldr. datasets R package and the Cometa data repository
F Charte, AJ Rivera, D Charte, MJ del Jesus, F Herrera
Neurocomputing 289, 68-85, 2018
312018
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