Antonio J. Rivera
Orcid: 0000-0002-1062-3127
According to our database1,
Antonio J. Rivera
authored at least 70 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
mldr.resampling: Efficient reference implementations of multilabel resampling algorithms.
Neurocomputing, November, 2023
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department.
Artif. Intell. Medicine, March, 2023
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders.
CoRR, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
2022
Neurocomputing, 2022
Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series.
IEEE Access, 2022
2021
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders.
Inf. Sci., 2021
2020
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines.
Inf. Fusion, 2020
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search.
Integr. Comput. Aided Eng., 2020
A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
2019
Prog. Artif. Intell., 2019
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization.
Neurocomputing, 2019
Neurocomputing, 2019
Int. J. Comput. Intell. Syst., 2019
Artif. Intell. Rev., 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy.
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the Advances in Computational Intelligence, 2019
2018
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository.
Neurocomputing, 2018
Dealing with seasonality by narrowing the training set in time series forecasting with <i>k</i>NN.
Expert Syst. Appl., 2018
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization.
CoRR, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
2017
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution.
Knowl. Based Syst., 2017
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass.
Comput. Chem. Eng., 2017
Proceedings of the Advances in Computational Intelligence, 2017
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO ^2 RBFN.
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
2016
Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Springer, ISBN: 978-3-319-41111-8, 2016
2015
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation.
Knowl. Based Syst., 2015
Addressing imbalance in multilabel classification: Measures and random resampling algorithms.
Neurocomputing, 2015
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions.
Expert Syst. Appl., 2015
CO ^2 RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums.
Proceedings of the IEEE EUROCON 2015, 2015
2014
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst., 2014
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets.
Appl. Soft Comput., 2014
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
2013
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks.
Expert Syst. Appl., 2013
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks.
Proceedings of the Advances in Computational Intelligence, 2013
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2012
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO<sup>2</sup>RBFN.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods.
Appl. Intell., 2011
Multi-label Testing for CO<sup>2</sup>RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification.
Proceedings of the Advances in Computational Intelligence, 2011
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price.
Proceedings of the Advances in Artificial Intelligence, 2011
2010
CO<sup>2</sup>RBFN: an evolutionary cooperative-competitive RBFN design algorithm for classification problems.
Soft Comput., 2010
Analysis of an evolutionary RBFN design algorithm, CO<sup>2</sup>RBFN, for imbalanced data sets.
Pattern Recognit. Lett., 2010
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems.
Inf. Sci., 2010
CO<sup>2</sup>RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market.
Int. J. Hybrid Intell. Syst., 2010
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.
Expert Syst. Appl., 2010
CO<sup>2</sup>RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design.
Proceedings of the International Joint Conference on Neural Networks, 2010
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market.
Proceedings of the Trends in Applied Intelligent Systems, 2010
2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
2008
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2007
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput., 2007
CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
Proceedings of the Computational and Ambient Intelligence, 2007
2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2001
Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules.
Proceedings of the Connectionist Models of Neurons, 2001