Publicaciones en las que colabora con MARÍA JOSÉ DEL JESÚS DÍAZ (25)

2023

  1. Analysis of Transformer Model Applications

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Analysis of clustering methods for crop type mapping using satellite imagery

    Neurocomputing, Vol. 492, pp. 91-106

2021

  1. A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops

    Advances in Intelligent Systems and Computing

  2. A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  3. Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. An analysis of technological frameworks for data streams

    Progress in Artificial Intelligence, Vol. 9, Núm. 3, pp. 239-261

2018

  1. Análisis preliminar de marcos tecnológicos en data stream

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution

    Knowledge-Based Systems, Vol. 117, pp. 70-78

2015

  1. Co2RBFN-CS: First approach introducing cost-sensitivity in the cooperative-competitive RBFN design

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. Analysis and forecasting of the olive oil export times series

    INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014)

  2. Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets

    Applied Soft Computing Journal, Vol. 25, pp. 26-39

2013

  1. 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 International Joint Conference on Neural Networks

  2. Alternative OVA proposals for cooperative competitive rbfn design in classification tasks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011

  1. A Summary on the Study of the Medium-TermForecasting of the Extra-Virgen Olive Oil Price

    Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings

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

    Applied Intelligence

  3. A summary on the study of the medium-term forecasting of the extra-virgen olive oil price

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Multi-label testing for CO2RBFN: A first approach to the problem transformation methodology for multi-label classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design

    Proceedings of the International Joint Conference on Neural Networks

  2. Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets

    Pattern Recognition Letters, Vol. 31, Núm. 15, pp. 2375-2388

  3. CO2RBFN: An evolutionary cooperative-competitive RBFN design algorithm for classification problems

    Soft Computing, Vol. 14, Núm. 9, pp. 953-971