Publications

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Journal Article
Uso de dispositivos FPGA como apoyo a la enseñanza de asignaturas de arquitectura de computadores, Charte, Francisco, Espinilla Macarena, Rivera Antonio J., and Pulgar-Rubio F. , Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 7, p.37–52, (2017) PDF icon 2017-EAIC17-FPGAsEnsenanza.pdf (1.48 MB)
Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets, Pérez-Godoy, M.D., Rivera Antonio J., Carmona C. J., and del Jesus M. J. , Applied Soft Computing, Volume 25, p.26-39, (2014) PDF icon 2014-Perez-ASOC.pdf (926.82 KB)
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository, Charte, Francisco, Rivera Antonio J., Charte David, del Jesus M. J., and Herrera F. , Neurocomputing, Volume 289, p.68–85, (2018) PDF icon 2018-Neucom-TipsMLCCometa-compressed.pdf (1017.86 KB)
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 326, p.110–122, (2019) PDF icon 2019-NeucomRemedial-HwR.pdf (2.83 MB)
Propuesta de una asignatura de Diseño de Servidores para la especialidad de Tecnologías de Información, Rivera, Antonio J., Espinilla Macarena, Fernández A., López José Santamarí, and Charte Francisco , Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 4, p.15–24, (2014) PDF icon 2014-EAIC14-AsignaturaDisenoServ.pdf (864.57 KB)
Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo, Rivera, Antonio J., Charte Francisco, Espinilla Macarena, and Pérez-Godoy M.D. , Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 8, p.67–83, (2018) PDF icon 2018-EAIC18-HardwareAltoRend-compressed.pdf (431.68 KB)
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , Knowledge-Based Systems, Volume 89, p.385–397, (2015) PDF icon 2015-KBS-MLSMOTE.pdf (1.56 MB)
MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution, Pulgar-Rubio, F., Rivera Antonio J., Pérez-Godoy M.D., González P., Carmona C. J., and del Jesus M. J. , Knowledge-Based Systems, Volume 117, p.70-78, (2017) PDF icon 2017-Pulgar-KBS.pdf (915.83 KB)
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , IEEE Transactions on Neural Networks and Learning Systems, Volume 25, Number 10, p.1842-1854, (2014) PDF icon 2014-TNNLS-LI-MLC.pdf (1.85 MB)
GP-COACH: Genetic Programming-based learning of Compact and ACcurate fuzzy rule-based classification systems for High-dimensional problems, Berlanga, F.J., Rivera Antonio J., del Jesus M. J., and Herrera F. , Information Sciences, Volume 180, Number 8, p.1183 - 1200, (2010)
Explotación de la potencia de procesamiento mediante paralelismo: un recorrido histórico hasta la GPGPU, Charte, Francisco, Rivera Antonio J., Pulgar-Rubio F., and Díaz María J. del Jesu , Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 6, p.19–33, (2016) PDF icon 2016-EAIC16-Paralelismo.pdf (1.16 MB)
Evolución tecnológica del hardware de vídeo y las GPU en los ordenadores personales, Charte, Francisco, Rueda Antonio J., Espinilla Macarena, and Rivera Antonio J. , Enseñanza y aprendizaje de ingeniería de computadores. Revista de experiencias docentes en ingeniería de computadores, Volume 7, p.111–128, (2017) PDF icon 2017-EAIC17-EvolucionGPUs.pdf (2.1 MB)
Dealing with seasonality by narrowing the training set in time series forecasting with kNN, Martínez, Francisco, Frías María Pilar, Pérez-Godoy M.D., and Rivera Antonio J. , Expert Systems with Applications, Volume 103, p.38 - 48, (2018)
Dealing with difficult minority labels in imbalanced mutilabel data sets, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 326, p.39–53, (2019) PDF icon 2019-NeucomDealingDifficultLabels.pdf (4.77 MB)
Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass, Charte, Francisco, Romero Inmaculada, Pérez-Godoy M.D., Rivera Antonio J., and Castro Eulogio , Computers & Chemical Engineering, Volume 101, p.23–30, (2017) PDF icon 2017-CACE-Biomasa.pdf (1.28 MB)
CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market, Pérez-Godoy, M.D., Pérez P., Rivera Antonio J., del Jesus M. J., Carmona C. J., Frías M.P., and Parras M. , International Journal of Hybrid Intelligent Systems, p.75-87, (2010) PDF icon 2010-Perez-Godoy-IJHIS.pdf (434.9 KB)
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction, Pulgar-Rubio, F., Charte Francisco, Rivera Antonio J., and del Jesus M. J. , International Journal of Computational Intelligence Systems, 11/2018, Volume 12, p.436-452, (2018) PDF icon 125905686.pdf (3.86 MB)
Addressing imbalance in multilabel classification: Measures and random resampling algorithms, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , Neurocomputing, Volume 163, p.3–16, (2015) PDF icon 2015-Neucom-AddressingImbalance.pdf (546.81 KB)
A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods, Rivera, Antonio J., Pérez-Recuerda Pedro, Pérez-Godoy M.D., del Jesus M. J., Frías María Pilar, and Parras Manuel , Applied Intelligence, Jun, Volume 34, Number 3, p.331–346, (2011)
A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks, Rivera, Antonio J., Rojas I., Ortega J., and del Jesus M. J. , Soft Computing, May, Volume 11, Number 7, p.655–668, (2007)
A methodology for applying k-nearest neighbor to time series forecasting, Martínez, Francisco, Frías María Pilar, Pérez María Dolores, and Rivera Antonio J. , Artificial Intelligence Review, Nov, (2017)
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions, García-Domingo, B., Carmona C. J., Rivera Antonio J., del Jesus M. J., and Aguilera J. , Expert Systems with Applications, Volume 42, Number 13, p.5452–5462, (2015) PDF icon 2015-GarciaDomingo-ESWA.pdf (1.22 MB)
Conference Paper
Una propuesta para la formación en las tecnologías Web, Rivera, Antonio J., and Balsas José R. , Nuevas tecnologías aplicadas a la educación, 11, (2000)
Una primera aproximación al descubrimiento de subgrupos bajo el paradigma MapReduce, Pulgar-Rubio, F., Carmona C. J., Rivera Antonio J., González P., and del Jesus M. J. , 1er Workshop en Big Data y Análisis de Datos Escalable, p.991-1000, (2015) PDF icon 2015 - BD.pdf (374.17 KB)
Una primera aproximación a la predicción de variables turísticas con Deep Learning, Viedma, Daniel Trujillo, Rivera Antonio J., Charte Francisco, and Díaz María J. del Jesu , XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 10, Granada (Spain), p.939–943, (2018) PDF icon 2018-CAEPIA-TurismoLSTMs.pdf (127.66 KB)
Una estrategia difusa para la aplicación de operadores en un algoritmo evolutivo, Rivera, Antonio J., Rojas I., J. Lopera Ortega, and del Jesus M. J. , XII Congreso Español sobre Tecnologías y Lógica Fuzzy(ESTYLF), September, Jaén, p.593-598, (2004)
Un sistema coordinador de recursos distribuidos, López, Juan Antonio, Balsas José R., and Rivera Antonio J. , Jornadas científicas en tecnologías de la información, 11, Cádiz (España), (2000)
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , 10th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2015, 6, Bilbao (Spain), p.489–501, (2015) PDF icon 2015-HAIS-REMEDIAL.pdf (1.04 MB)
Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity, Espinilla, M., Rivera Antonio J., Pérez-Godoy M.D., Medina J., Martínez L., and Nugent C. , Ubiquitous Computing and Ambient Intelligence, Cham, p.64–74, (2016)
R Ultimate Multilabel Dataset Repository, Charte, Francisco, Charte David, Rivera Antonio J., del Jesus M. J., and Herrera F. , 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, 4, Seville (Spain), p.487–499, (2016) PDF icon 2016-HAIS-RUMDR.pdf (1.3 MB)
{QUINTA: A question tagging assistant to improve the answering ratio in electronic forums}, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , IEEE International Conference on Computer as a Tool, EUROCON 2015, 9, Salamanca (Spain), p.1-6, (2015) PDF icon 2015-EUROCON-QUINTA.pdf (2.03 MB)
Presentación de TCL-TK para el desarrollo de aplicaciones por parte de usuarios no expertos en programación, González, P., Rivera Antonio J., and Pérez María Dolores , Jornadas científicas andaluzas en tecnología de la información, Cádiz (España), (1998)
Predicción de series temporales mediante la coevolución de funciones base, Rivera, Antonio J., Rojas I., and J. Lopera Ortega , Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados MAEB, February, p.585-592, (2004)
Optimización de redes de RBFs mediante cooperación-competición de neuronas y algoritmos de minimización de error, Rivera, Antonio J., Rojas I., J. Lopera Ortega, and del Jesus M. J. , MAEB, February, p.499-508, (2003)
On the Impact of Imbalanced Data in Convolutional Neural Networks Performance, Pulgar-Rubio, F., Rivera Antonio J., Charte Francisco, and del Jesus M. J. , 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, 6, La Rioja (Spain), p.220–232, (2017) PDF icon 2017-HAIS-CNNImbalance-compressed.pdf (1.62 MB)
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, 4, Seville (Spain), p.500–511, (2016) PDF icon 2016-HAIS-Complexity.pdf (1.28 MB)
Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification, Rivera, Antonio J., Charte Francisco, Pérez-Godoy M.D., and del Jesus M. J. , 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, 6, Torremolinos-Málaga (Spain), p.41–48, (2011) PDF icon 2011-IWANN-MultilabelTestingCO2RBFN.pdf (131.76 KB)
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO2RBFN, Charte, Francisco, Romero Inmaculada, Rivera Antonio J., and Castro Eulogio , 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), 6, Cádiz (Spain), p.733–744, (2017) PDF icon 2017IWANN-Biomass.pdf (158.82 KB)
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), 9, Salamanca (Spain), p.821–822, (2016) PDF icon 2016-CAEPIA-MLSMOTE.pdf (579.04 KB)
MLeNN: A First Approach to Heuristic Multilabel Undersampling, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, 9, Salamanca (Spain), p.1-9, (2014) PDF icon 2014-IDEAL-MLeNN.pdf (184.04 KB)
Mejoras en el Diseño Multiobjetivo de Redes de Funciones de Base Radial, López, P.L., Rivera Antonio J., Carmona C. J., and Pérez-Godoy M.D. , Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), p.441-446, (2010) PDF icon 2010 - ESTYLF.pdf (587.96 KB)
La asignatura de planificación de sistemas informáticos en ingeniería técnica en informática de gestión., González, P., Pérez María Dolores, and Rivera Antonio J. , Jenui, 01, Alcala de Henares (España), (2000)
Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market, Pérez-Godoy, M.D., Pérez Pedro, Rivera Antonio J., del Jesus M. J., Frías María Pilar, and Parras Manuel , Trends in Applied Intelligent Systems, Berlin, Heidelberg, p.205–214, (2010)
Improving Multi-label Classifiers via Label Reduction with Association Rules, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , 7th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2012), 9, Salamanca (Spain), p.188–199, (2012) PDF icon 2012-HAIS-LabelReduction.pdf (171.47 KB)
Estudio de las Fases de un Algoritmo de Optimización para Redes de Funciones de Base Radial, Rivera, Antonio J., Rojas I., and J. Lopera Ortega , Actas del Simposio de Inteligencia Computacional (SICO), September, Granada. Spain, p.237-244, (2005)
Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach, Carmona, C. J., Pulgar-Rubio F., Rivera Antonio J., del Jesus M. J., and Aguilera J. , Proceedings of the Eleventh International Conference on Hybrid Artificial Intelligence Systems (HAIS), April, Sevilla (Spain), p.273-282, (2016) PDF icon 2016 - HAIS - CoreC.pdf (203.25 KB)
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design, López, P.L., Rivera Antonio J., Pérez-Godoy M.D., del Jesus M. J., and Carmona C. J. , International Work-Conference on Artificial Neural Networks (IWANN), Number 2009, p.752–759, (2009) PDF icon 2009 - IWANN - CoreB.pdf (190.56 KB)
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , 9th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2014), 6, Salamanca (Spain), p.110–121, (2014) PDF icon 2014-HAIS-ConcurrenceLabels.pdf (1.12 MB)
CO2RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design, Pérez-Godoy, M.D., Rivera Antonio J., Charte Francisco, and del Jesus M. J. , 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), 6, Palma de Mallorca (Spain), p.361–373, (2015) PDF icon 2015-IWANN-CostSensitiveCO2RBFN.pdf (360.2 KB)
Aproximaciones de Evolución con Funciones Difusas Mediante Cooperacion y Competición de RBFs, Rivera, Antonio J., Ortega Julio, Díaz María José del, and González-Peñalvez Jesús , Congreso Español de Algoritmos Evolutivos y Bioinspirados AEB-02, 01, Mérida, (España), (2002)
Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales, Pulgar-Rubio, F., Rivera Antonio J., Charte Francisco, and Díaz María J. del Jesu , XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018), 10, Granada (Spain), p.1213–1218, (2018) PDF icon 2018-CAEPIA-DesbalanceoCNNs.pdf (228.43 KB)
An Study on Data Mining Methods for Short-Term Forecasting of the Extra Virgin Olive Oil Price in the Spanish Market, Pérez, P., Frías M. P., Pérez-Godoy M.D., Rivera Antonio J., Jesus M. J. d., Parras M., and Torres F. J. , 2008 Eighth International Conference on Hybrid Intelligent Systems, Sep., p.943-946, (2008)
An ensemble strategy for forecasting the extra-virgin olive oil price in Spain, Rivera, Antonio J., Pérez-Godoy M.D., Charte Francisco, Pulgar-Rubio F., and del Jesus M. J. , International work-conference on Time Series, ITISE 2015, 7, Granada (Spain), p.506–516, (2015) PDF icon 2015-ITISE-ForecastOliveOil.pdf (547.65 KB)
An ensemble method for time series forecasting with simple exponential smoothing, del Jesus, M. J., Martínez Francisco, Pérez-Godoy M.D., Rivera Antonio J., and Frías María Pilar , Conference Computational and Mathematical Methods in Science and Engineering, 07, Rota, Cádiz (Spain), (2014)
An Approximation to Deep Learning Touristic-Related Time Series Forecasting, Trujillo, Daniel, Rivera Antonio J., Charte Francisco, and del Jesus M. J. , 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, 11, Madrid (Spain), p.448–456, (2018) PDF icon 2018-IDEAL-LSTMTouristic.pdf (2.13 MB)
Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks, Charte, Francisco, Rivera Antonio J., Pérez-Godoy M.D., and del Jesus M. J. , 12th International Work-Conference on Artificial Neural Networks (IWANN 2013), Tenerife (Spain), p.331-338, (2013) PDF icon 2013-IWANN-AlternativeOVA.pdf (146.42 KB)
Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior, Rivera, Antonio J., Carmona C. J., Pérez-Godoy M.D., and del Jesus M. J. , International Conference on Development and Innovation with New Technologies in Engineering Education, p.15-21, (2009) PDF icon 2009 - FINDIT.pdf (168.85 KB)
A Transformation Approach Towards Big Data Multilabel Decision Trees, Rivera, Antonio J., Charte Francisco, Pulgar-Rubio F., and del Jesus M. J. , 14th International Work-Conference on Artificial Neural Networks (IWANN 2017), 6, Cádiz (Spain), p.73–84, (2017) PDF icon 2017-IWANN-BigDataMLDT.pdf (372.37 KB)
A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price, Rivera, Antonio J., Pérez-Godoy M.D., del Jesus M. J., Pérez-Recuerda Pedro, Frías María Pilar, and Parras Manuel , Advances in Artificial Intelligence, Berlin, Heidelberg, p.263–272, (2011)
A specialized lazy learner for time series forecasting, Martínez, Francisco, Frías M.P., Charte Francisco, and Rivera Antonio J. , 17th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2017, 7, Costa Ballena, Rota, Cáadiz (Spain), p.1397–1403, (2017) PDF icon 2017-CMMSE-SpecializedLazyLearner.pdf (211.11 KB)
A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design, Pérez-Godoy, M.D., Rivera Antonio J., Carmona C. J., and del Jesus M. J. , IEEE World Congress on Computational Intelligence (WCCI), p.349–355, (2010) PDF icon 2010 - IEEEWCCS - CoreA.pdf (606.64 KB)
A Preliminar Analysis of CO2RBFN in Imbalanced Problems, Pérez-Godoy, M.D., Rivera Antonio J., Fernández A., del Jesus M. J., and Herrera F. , Bio-Inspired Systems: Computational and Ambient Intelligence, Berlin, Heidelberg, p.57–64, (2009)
A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN, Rivera, Antonio J., García-Domingo B., del Jesus M. J., and Aguilera J. , Soft Computing Models in Industrial and Environmental Applications, Berlin, Heidelberg, p.439–448, (2013)
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders, Pulgar-Rubio, F., Charte Francisco, Rivera Antonio J., and del Jesus M. J. , 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, 11, Madrid (Spain), p.439–447, (2018) PDF icon 2018-IDEAL-DimensionalityDAE.pdf (2.45 MB)
A First Approach to Deal with Imbalance in Multi-label Datasets, Charte, Francisco, Rivera Antonio J., del Jesus M. J., and Herrera F. , 8th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2013), 9, Salamanca (Spain), p.150-160, (2013) PDF icon 2013-HAIS-ImbalanceMultilabel.pdf (194.4 KB)
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments, Pérez-Godoy, M.D., Rivera Antonio J., del Jesus M. J., and Martínez Francisco , The 2013 International Joint Conference on Neural Networks (IJCNN), Aug, p.1-8, (2013)