arivera

Posición
Comité Científico
Descripción

Antonio J. Rivera es licenciado y dóctor en Informática por la Universidad de Granada, alcanzando estos títulos en 1995 y 2003 restpectivamente.

Actualmente es profesor titular de la Universidad de Jaén en el área de Arquitectura y Tecnología de Computadores del departamento de Informática. Sus áreas de investigación de interés incluyen clasificación multietiqueta, conjuntos de datos desbalanceados, computación evolutiva, diseño de redes neuronales, predicción de series temporales o regresión funcional.

ID ORCID

0000-0002-1062-3127

Publicaciones

A methodology for applying k-nearest neighbor to time series forecasting , 2017 | Artículo de revista DOI: 10.1007/s10462-017-9593-z
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass , 2017 | Artículo de revista DOI: 10.1016/j.compchemeng.2017.02.008 EID: 2-s2.0-85014093400
Dealing with difficult minority labels in imbalanced mutilabel data sets , 2017 | Artículo de revista DOI: 10.1016/j.neucom.2016.08.158 EID: 2-s2.0-85029618729
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution , 2017 | Artículo de revista DOI: 10.1016/j.knosys.2016.08.021 EID: 2-s2.0-84994174430
On the impact of imbalanced data in convolutional neural networks performance , 2017 | Libro DOI: 10.1007/978-3-319-59650-1_19 EID: 2-s2.0-85021778345
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization , 2017 | Artículo de revista DOI: 10.1016/j.neucom.2017.01.118 EID: 2-s2.0-85029575439
Estimating the maximum power delivered by concentrating photovoltaics technology through atmospheric conditions using a differential evolution approach , 2016 | Libro DOI: 10.1007/978-3-319-32034-2_23 EID: 2-s2.0-84964007917
Multilabel classification: Problem analysis, metrics and techniques , 2016 | Libro DOI: 10.1007/978-3-319-41111-8 EID: 2-s2.0-85006335487
On the impact of dataset complexity and sampling strategy in multilabel classifiers performance , 2016 | Libro DOI: 10.1007/978-3-319-32034-2_42 EID: 2-s2.0-84964054564
R ultimate multilabel dataset repository , 2016 | Libro DOI: 10.1007/978-3-319-32034-2_41 EID: 2-s2.0-84964054493
Recognition of activities in resource constrained environments; reducing the computational complexity , 2016 | Libro DOI: 10.1007/978-3-319-48799-1_8 EID: 2-s2.0-85009786854
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions , 2015 | Artículo de revista DOI: 10.1016/j.eswa.2015.02.032 EID: 2-s2.0-84926643988
Addressing imbalance in multilabel classification: Measures and random resampling algorithms , 2015 | Artículo de revista DOI: 10.1016/j.neucom.2014.08.091 EID: 2-s2.0-84930273620
Co<sup>2</sup>RBFN-CS: First approach introducing cost-sensitivity in the cooperative-competitive RBFN design , 2015 | Libro DOI: 10.1007/978-3-319-19258-1_31 EID: 2-s2.0-84937400529
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation , 2015 | Artículo de revista DOI: 10.1016/j.knosys.2015.07.019 EID: 2-s2.0-84944354565
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums , 2015 | Congreso DOI: 10.1109/EUROCON.2015.7313677 EID: 2-s2.0-84961695915
Resampling multilabel datasets by decoupling highly imbalanced labels , 2015 | Congreso DOI: 10.1007/978-3-319-19644-2-41 EID: 2-s2.0-84932146148
Resampling multilabel datasets by decoupling highly imbalanced labels , 2015 | Congreso DOI: 10.1007/978-3-319-19644-2_41 EID: 2-s2.0-84958533469
Concurrence among imbalanced labels and its influence on multilabel resampling algorithms , 2014 | Libro DOI: 10.1007/978-3-319-07617-1_10 EID: 2-s2.0-84902509247
LI-MLC: A label inference methodology for addressing high dimensionality in the label space for multilabel classification , 2014 | Artículo de revista DOI: 10.1109/TNNLS.2013.2296501 EID: 2-s2.0-84907817318
MLeNN: A first approach to heuristic multilabel undersampling , 2014 | Libro DOI: 10.1007/978-3-319-10840-7-1 EID: 2-s2.0-84906347859
MLeNN: A first approach to heuristic multilabel undersampling , 2014 | Libro DOI: 10.1007/978-3-319-10840-7_1 EID: 2-s2.0-84958553194
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets , 2014 | Artículo de revista DOI: 10.1016/j.asoc.2014.09.011 EID: 2-s2.0-84907532927
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments , 2013 | Congreso DOI: 10.1109/IJCNN.2013.6706973 EID: 2-s2.0-84893601045
A first approach to deal with imbalance in multi-label datasets , 2013 | Libro DOI: 10.1007/978-3-642-40846-5_16 EID: 2-s2.0-84884913245
A performance study of concentrating photovoltaic modules using neural networks: An application with CO 2RBFN , 2013 | Libro DOI: 10.1007/978-3-642-32922-7_45 EID: 2-s2.0-84868286270
Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks , 2013 | Artículo de revista DOI: 10.1016/j.eswa.2012.09.016 EID: 2-s2.0-84872038963
Improving multi-label classifiers via label reduction with association rules , 2012 | Libro DOI: 10.1007/978-3-642-28931-6_18 EID: 2-s2.0-84858826037
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods , 2011 | Artículo de revista DOI: 10.1007/s10489-011-0284-1 EID: 2-s2.0-79956151060
A summary on the study of the medium-term forecasting of the extra-virgen olive oil price , 2011 | Libro DOI: 10.1007/978-3-642-25274-7_27 EID: 2-s2.0-81055147979
Multi-label testing for CO2RBFN: A first approach to the problem transformation methodology for multi-label classification , 2011 | Libro DOI: 10.1007/978-3-642-21501-8_6 EID: 2-s2.0-79957932195
A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design , 2010 | Congreso DOI: 10.1109/IJCNN.2010.5596330 EID: 2-s2.0-79959410025
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets , 2010 | Artículo de revista DOI: 10.1016/j.patrec.2010.07.010 EID: 2-s2.0-77956395103
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem , 2010 | Artículo de revista DOI: 10.1016/j.eswa.2009.11.056 EID: 2-s2.0-77549084650
CO2RBFN for short and medium term forecasting of the extra-virgin olive oil price , 2010 | Libro DOI: 10.1007/978-3-642-12538-6_10 EID: 2-s2.0-77951676441
CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems , 2010 | Artículo de revista DOI: 10.1007/s00500-009-0488-z EID: 2-s2.0-77951795476
GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems , 2010 | Artículo de revista DOI: 10.1016/j.ins.2009.12.020 EID: 2-s2.0-75149139352
Intelligent systems in long-term forecasting of the extra-virgin olive oil price in the Spanish market , 2010 | Libro DOI: 10.1007/978-3-642-13022-9_21 EID: 2-s2.0-79551534856
A preliminar analysis of CO2RBFN in imbalanced problems , 2009 | Libro DOI: 10.1007/978-3-642-02478-8_8 EID: 2-s2.0-68749108641
EMORBFN: An evolutionary multiobjetive optimization algorithm for RBFN design , 2009 | Libro DOI: 10.1007/978-3-642-02478-8_94 EID: 2-s2.0-68849096585