Antonio J. Rivera

43 papers B 1C 1Misc 4Journal 27Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Preliminary Analysis of Loss Functions in Generative Model Inversion Attacks.
IDEAL (2)
F. Moreno, Antonio J. Rivera, María José del Jesus, M. Dolores Pérez-Godoy
2025 — conf
Reducing Experimentation Training Overhead in Time Series Forecasting through LLM Adaptation.
IDEAL (2)
M. Germán-Morales, Antonio J. Rivera, María José del Jesus, Cristóbal J. Carmona
2024 J jnl
DESReg: Dynamic Ensemble Selection library for Regression tasks.
Neurocomputing
María Dolores Pérez-Godoy, Marta Molina, Francisco Martínez, David A. Elizondo, Francisco Charte, Antonio J. Rivera
2023 Misc conf
Analysis of Transformer Model Applications.
HAIS
Maria Isabel Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
2023 J jnl
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search.
CoRR
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
2023 — conf
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images.
IWANN (2)
David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María José del Jesus, Francisco Charte
2023 J jnl
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders.
CoRR
David de la Rosa, Antonio J. Rivera, María José del Jesus, Francisco Charte
2023 J jnl
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms.
CoRR
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
2023 J jnl
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms.
Neurocomputing
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
2022 J jnl
Analysis of clustering methods for crop type mapping using satellite imagery.
Neurocomputing
Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
2022 J jnl
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series.
IEEE Access
Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy, Antonio J. Rivera
2021 J jnl
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders.
Inf. Sci.
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2020 J jnl
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines.
Inf. Fusion
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2020 J jnl
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search.
Integr. Comput. Aided Eng.
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
2019 J jnl
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction.
Int. J. Comput. Intell. Syst.
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2019 — conf
Automatic Time Series Forecasting with GRNN: A Comparison with Other Models.
IWANN (1)
Francisco Martínez, Francisco Charte, Antonio J. Rivera, María Pilar Frías
2019 — conf
Automating Autoencoder Architecture Configuration: An Evolutionary Approach.
IWINAC (1)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
2019 J jnl
Dealing with difficult minority labels in imbalanced mutilabel data sets.
Neurocomputing
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2019 J jnl
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization.
Neurocomputing
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2019 J jnl
Time Series Forecasting with KNN in R: the tsfknn Package.
R J.
Francisco Martínez, María Pilar Frías, Francisco Charte, Antonio J. Rivera
2019 J jnl
predtoolsTS: R package for streamlining time series forecasting.
Prog. Artif. Intell.
Francisco Charte, Alberto Vico, María Dolores Pérez-Godoy, Antonio J. Rivera
2018 — conf
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders.
IDEAL (1)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2018 J jnl
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction.
CoRR
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
2018 J jnl
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets.
CoRR
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2018 J jnl
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization.
CoRR
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2018 J jnl
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository.
Neurocomputing
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
2018 J jnl
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository.
CoRR
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
2017 J jnl
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass.
Comput. Chem. Eng.
Francisco Charte, Inmaculada Romero, María Dolores Pérez-Godoy, Antonio J. Rivera, Eulogio Castro
2017 Misc conf
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance.
HAIS
Francisco Javier Pulgar, Antonio J. Rivera, Francisco Charte, María José del Jesus
2016 — book
Multilabel Classification - Problem Analysis, Metrics and Techniques
Francisco Herrera, Francisco Charte, Antonio J. Rivera, María José del Jesus
2016 Misc conf
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
HAIS
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2016 Misc conf
R Ultimate Multilabel Dataset Repository.
HAIS
Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2016 — conf
Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity.
UCAmI (2)
Macarena Espinilla, Antonio J. Rivera, M. Dolores Pérez-Godoy, Javier Medina, Luis Martínez, Chris D. Nugent
2015 J jnl
Addressing imbalance in multilabel classification: Measures and random resampling algorithms.
Neurocomputing
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2015 J jnl
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation.
Knowl. Based Syst.
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2015 — conf
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums.
EUROCON
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2014 J jnl
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2014 C conf
MLeNN: A First Approach to Heuristic Multilabel Undersampling.
IDEAL
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
2014 J jnl
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets.
Appl. Soft Comput.
M. Dolores Pérez-Godoy, Antonio J. Rivera, Cristóbal J. Carmona, María José del Jesus
2013 B conf
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments.
IJCNN
M. Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesus, Francisco Martínez
2013 J jnl
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks.
Expert Syst. Appl.
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
2012 — conf
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO
SOCO
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
2010 J jnl
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.
Expert Syst. Appl.
Alberto Guillén, Ginés Rubio, I. Toda, Antonio J. Rivera, Héctor Pomares, Ignacio Rojas Ruiz