Publications

Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series, del Rio, Francisco Martínez, Frías M.P., Pérez-Godoy M.D., and Rivera-Rivas A.J. , IEEE Access, Volume 10, p.3275-3283, (2022)

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Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms, Puentes, F., Pérez-Godoy M.D., González P., and del Jesus M. J. , International Work-Conference on Artificial Neural Networks (IWANN 2021), p.272–280, (2021)

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A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops , Rivera-Rivas, A.J., Pérez-Godoy M.D., Elizondo D., Deka Lipika, and del Jesus M. J. , 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 08/2020, p.276-285, (2020)

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An analysis of technological frameworks for data streams, Puentes, F., Pérez-Godoy M.D., González P., and del Jesus M. J. , Progress in Artificial Intelligence, 06/2020, Volume 9, p.239–261, (2020)

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predtoolsTS: R package for streamlining time series forecasting, Charte, Francisco, Vico Alberto, Pérez-Godoy M.D., and Rivera-Rivas A.J. , Progress in Artificial Intelligence, 06/2019, Volume 8, p.505–510, (2019)

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Charte2019_Article_PredtoolsTSRPackageForStreamli.pdf (390.07 KB)

Análisis preliminar de marcos tecnológicos en data stream, Puentes, F., Pérez-Godoy M.D., González P., and del Jesus M. J. , II Workshop en Big Data y análisis de datos escalable, 10, Granada (España), p.1117-1122, (2018)

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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-Rivas A.J. , Expert Systems with Applications, Volume 103, p.38 - 48, (2018)

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Nuevas arquitecturas hardware de procesamiento de alto rendimiento para aprendizaje profundo, Rivera-Rivas, A.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)

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2018-EAIC18-HardwareAltoRend-compressed.pdf (431.68 KB)

A methodology for applying k-nearest neighbor to time series forecasting, Martínez, Francisco, Frías María Pilar, Pérez-Godoy M.D., and Rivera-Rivas A.J. , Artificial Intelligence Review, Nov, (2017)

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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-Rivas A.J., and Castro Eulogio , Computers & Chemical Engineering, Volume 101, p.23–30, (2017)

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2017-CACE-Biomasa.pdf (1.28 MB)

Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?, Nofuentes, G, Gueymard CA, Aguilera J., Pérez-Godoy M.D., and Charte Francisco , Solar Energy, Volume 149, p.32–43, (2017)

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2017-SolarEnergy-Photon-compressed.pdf (534.33 KB)

MEFASD-BD: Multi-Objective Evolutionary Algorithm for Subgroup Discovery in Big Data Environments - A MapReduce Solution, Pulgar-Rubio, F., Rivera-Rivas A.J., Pérez-Godoy M.D., González P., Carmona C. J., and del Jesus M. J. , Knowledge-Based Systems, Volume 117, p.70-78, (2017)

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Combining simple exponential smoothing models for time series forecasting, Martínez, Francisco, Pérez-Godoy M.D., Charte Francisco, and del Jesus M. J. , International work-conference on Time Series, ITISE 2016, 6, Granada (Spain), p.635-644, (2016)

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2016-ITISE-ExponentialSmoothing.pdf (1.13 MB)

Recognition of Activities in Resource Constrained Environments; Reducing the Computational Complexity, Espinilla, M., Rivera-Rivas A.J., Pérez-Godoy M.D., Medina J., Martínez L., and Nugent C. , Ubiquitous Computing and Ambient Intelligence, Cham, p.64–74, (2016)

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The Influence of Noise on the Evolutionary Fuzzy Systems for Subgroup Discovery, Luengo, J., García-Vico A.M., Pérez-Godoy M.D., and Carmona C. J. , Soft Computing, Volume 20, Issue 11, p.4313-4330, (2016)

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2016-Luengo-NoiseSD.pdf (972.31 KB)

An ensemble strategy for forecasting the extra-virgin olive oil price in Spain, Rivera-Rivas, A.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)

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2015-ITISE-ForecastOliveOil.pdf (547.65 KB)

CO2RBFN-CS: First Approach Introducing Cost-Sensitivity in the Cooperative-Competitive RBFN Design, Pérez-Godoy, M.D., Rivera-Rivas A.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)

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An ensemble method for time series forecasting with simple exponential smoothing, del Jesus, M. J., Martínez Francisco, Pérez-Godoy M.D., Rivera-Rivas A.J., and Frías María Pilar , Conference Computational and Mathematical Methods in Science and Engineering, 07, Rota, Cádiz (Spain), (2014)

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Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets, Pérez-Godoy, M.D., Rivera-Rivas A.J., Carmona C. J., and del Jesus M. J. , Applied Soft Computing, Volume 25, p.26-39, (2014)

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2014-Perez-ASOC.pdf (926.82 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-Rivas A.J., del Jesus M. J., and Martínez Francisco , The 2013 International Joint Conference on Neural Networks (IJCNN), Aug, p.1-8, (2013)

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Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks, Charte, Francisco, Rivera-Rivas A.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)

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2013-IWANN-AlternativeOVA.pdf (146.42 KB)

PRESETEMP: Predicción de Series Temporales mediante técnicas de Minería de Datos, Rivas, V. M., Parras-Gutiérrez E., Pérez-Godoy M.D., Rivera-Rivas A.J., Olmo M. J., Arenas M.G., Fernandez-Montoya A., and Cillero M. , Proyectos de Investigación 2009-10, (2012)

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A study on the medium-term forecasting using exogenous variable selection of the extra-virgin olive oil with soft computing methods, Rivera-Rivas, A.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)

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A Summary on the Study of the Medium-Term Forecasting of the Extra-Virgen Olive Oil Price, Rivera-Rivas, A.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)

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Multi-label Testing for CO2RBFN: A First Approach to the Problem Transformation Methodology for Multi-label Classification, Rivera-Rivas, A.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)

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2011-IWANN-MultilabelTestingCO2RBFN.pdf (131.76 KB)

A Preliminary Study on Mutation Operators in Cooperative Competitive Algorithms for RBFN Design, Pérez-Godoy, M.D., Rivera-Rivas A.J., Carmona C. J., and del Jesus M. J. , IEEE World Congress on Computational Intelligence (WCCI), p.349–355, (2010)

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2010 - IEEEWCCS - CoreA.pdf (606.64 KB)

Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets, Pérez-Godoy, M.D., Fernández Alberto, Rivas Antonio Rivera, and del Jesus M. J. , Pattern Recognition Letters, 11, Volume 31, Number 15, p.2375-2388, (2010)

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CO2RBFN for Short and Medium Term Forecasting of the Extra Virgin Olive Oil Price, Pérez-Godoy, M.D., Pérez P., Frías M.P., Rivera-Rivas A.J., Carmona C. J., and Parras M. , Studies in Computational Intelligence, Volume 284, p.113-125, (2010)

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2010 - NICSO.pdf (589.38 KB)

CO2RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market, Pérez-Godoy, M.D., Pérez P., Rivera-Rivas A.J., del Jesus M. J., Carmona C. J., Frías M.P., and Parras M. , International Journal of Hybrid Intelligent Systems, p.75-87, (2010)

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2010-Perez-Godoy-IJHIS.pdf (434.9 KB)

Intelligent Systems in Long-Term Forecasting of the Extra-Virgin Olive Oil Price in the Spanish Market, Pérez-Godoy, M.D., Pérez Pedro, Rivera-Rivas A.J., del Jesus M. J., Frías María Pilar, and Parras Manuel , Trends in Applied Intelligent Systems, Berlin, Heidelberg, p.205–214, (2010)

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Mejoras en el Diseño Multiobjetivo de Redes de Funciones de Base Radial, López, P.L., Rivera-Rivas A.J., Carmona C. J., and Pérez-Godoy M.D. , Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF), p.441-446, (2010)

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2010 - ESTYLF.pdf (587.96 KB)

A Preliminar Analysis of CO2RBFN in Imbalanced Problems, Pérez-Godoy, M.D., Rivera-Rivas A.J., Fernández A., del Jesus M. J., and Herrera F. , Bio-Inspired Systems: Computational and Ambient Intelligence, Berlin, Heidelberg, p.57–64, (2009)

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Adaptación de una asignatura avanzada de redes de computadores al modelo de docencia virtual dentro del marco del Espacio Europeo de Educación Superior, Rivera-Rivas, A.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)

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2009 - FINDIT.pdf (168.85 KB)

CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems, Pérez-Godoy, M.D., Rivas Antonio Rivera, Berlanga Francisco J., and del Jesus M. J. , Soft Computing, 07, Volume 14, p.953-971, (2009)

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EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design, López, P.L., Rivera-Rivas A.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)

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2009 - IWANN - CoreB.pdf (190.56 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-Rivas A.J., Jesus M. J. d., Parras M., and Torres F. J. , 2008 Eighth International Conference on Hybrid Intelligent Systems, Sep., p.943-946, (2008)

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Utilización de un sistema basado en reglas difusas para la aplicación de operadores en un algoritmo cooperativo-competitivo, Pérez-Godoy, M.D., Rivas Antonio Rivera, José Rivas M., Díaz Jesus, José F, and Rivera Berlanga , XIV Congreso Español sobre tecnologías y logica fuzzy, 09, Cuencas Mineras Asturianas, (2008)

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CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm, Pérez-Godoy, M.D., Rivas Antonio Rivera, del Jesus M. J., and Rojas Ignacio , 06, p.324-332, (2007)

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La asignatura de planificación de sistemas informáticos en ingeniería técnica en informática de gestión., González, P., Pérez-Godoy M.D., and Rivera-Rivas A.J. , Jenui, 01, Alcala de Henares (España), (2000)

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Simulación de fluidos dinámicos mediante autómatas celulares., Pérez-Godoy, M.D., Molina Andrés, and Pedro Sanchez , Congreso Español de informática gráfica., 06, Jaén, (1999)

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Presentación de TCL-TK para el desarrollo de aplicaciones por parte de usuarios no expertos en programación, González, P., Rivera-Rivas A.J., and Pérez-Godoy M.D. , Jornadas científicas andaluzas en tecnología de la información, Cádiz (España), (1998)

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Herramientas para el desarrollo de prácticas en una asignatura de redes de computadores de una ingeniería técnica, Rivera-Rivas, A.J., and Pérez-Godoy M.D. , Jornadas de informática, Cádiz (España), (1997)

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