Antonio J. Rivera

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 33

Top Topics

Multilabel Classification

Top Venues

Publications

María Dolores Pérez-Godoy, Marta Molina, Francisco Martínez, David A. Elizondo, Francisco Charte, Antonio J. Rivera
DESReg: Dynamic Ensemble Selection library for Regression tasks. Neurocomputing 580 (2024)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search. CoRR (2023)
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms. Neurocomputing 559 (2023)
M. I. Cabrera-Bermejo, María José del Jesus, Antonio J. Rivera, David A. Elizondo, Francisco Charte, M. Dolores Pérez-Godoy
Analysis of Transformer Model Applications. HAIS (2023)
David de la Rosa, Antonio J. Rivera, María José del Jesus, Francisco Charte
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders. CoRR (2023)
Antonio J. Rivera, Miguel A. Dávila, David A. Elizondo, María José del Jesus, Francisco Charte
mldr.resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms. CoRR (2023)
David de la Rosa, Antonio Álvarez, Ramón Pérez, Germán Garrote, Antonio J. Rivera, María José del Jesus, Francisco Charte
NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images. IWANN (2) (2023)
Antonio J. Rivera, María Dolores Pérez-Godoy, David A. Elizondo, Lipika Deka, María José del Jesus
Analysis of clustering methods for crop type mapping using satellite imagery. Neurocomputing 492 (2022)
Francisco Martínez, María Pilar Frías, María Dolores Pérez-Godoy, Antonio J. Rivera
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series. IEEE Access 10 (2022)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders. Inf. Sci. 565 (2021)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines. Inf. Fusion 54 (2020)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search. Integr. Comput. Aided Eng. 27 (3) (2020)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing (2019)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing (2019)
Francisco Martínez, María Pilar Frías, Francisco Charte, Antonio J. Rivera
Time Series Forecasting with KNN in R: the tsfknn Package. R J. 11 (2) (2019)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction. Int. J. Comput. Intell. Syst. 12 (1) (2019)
Francisco Charte, Alberto Vico, María Dolores Pérez-Godoy, Antonio J. Rivera
predtoolsTS: R package for streamlining time series forecasting. Prog. Artif. Intell. 8 (4) (2019)
Francisco Martínez, Francisco Charte, Antonio J. Rivera, María Pilar Frías
Automatic Time Series Forecasting with GRNN: A Comparison with Other Models. IWANN (1) (2019)
Francisco Charte, Antonio J. Rivera, Francisco Martínez, María José del Jesus
Automating Autoencoder Architecture Configuration: An Evolutionary Approach. IWINAC (1) (2019)
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing 289 (2018)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. CoRR (2018)
Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository. CoRR (2018)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders. IDEAL (1) (2018)
Francisco Javier Pulgar, Francisco Charte, Antonio J. Rivera, María José del Jesus
AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality reduction. CoRR (2018)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. CoRR (2018)
Francisco Charte, Inmaculada Romero, María Dolores Pérez-Godoy, Antonio J. Rivera, Eulogio Castro
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass. Comput. Chem. Eng. 101 (2017)
Francisco Javier Pulgar, Antonio J. Rivera, Francisco Charte, María José del Jesus
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance. HAIS (2017)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. HAIS (2016)
Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
R Ultimate Multilabel Dataset Repository. HAIS (2016)
Macarena Espinilla, Antonio J. Rivera, M. Dolores Pérez-Godoy, Javier Medina, Luis Martínez, Chris D. Nugent
Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity. UCAmI (2) (2016)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl. Based Syst. 89 (2015)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL (2014)
Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
M. Dolores Pérez-Godoy, Antonio J. Rivera, Cristóbal J. Carmona, María José del Jesus
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets. Appl. Soft Comput. 25 (2014)
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks. Expert Syst. Appl. 40 (5) (2013)
M. Dolores Pérez-Godoy, Antonio J. Rivera, María José del Jesus, Francisco Martínez
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments. IJCNN (2013)
Antonio J. Rivera, B. García-Domingo, María José del Jesus, Jorge Aguilera
RBFN. SOCO (2012)
Alberto Guillén, Ginés Rubio, I. Toda, Antonio J. Rivera, Héctor Pomares, Ignacio Rojas Ruiz
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. Expert Syst. Appl. 37 (6) (2010)