Publicaciones en las que colabora con ANTONIO JESÚS RIVERA RIVAS (31)

2024

  1. DESReg: Dynamic Ensemble Selection library for Regression tasks

    Neurocomputing, Vol. 580

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

  2. Time Series Forecasting by Generalized Regression Neural Networks Trained With Multiple Series

    IEEE Access, Vol. 10, pp. 3275-3283

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

2019

  1. A methodology for applying k-nearest neighbor to time series forecasting

    Artificial Intelligence Review, Vol. 52, Núm. 3, pp. 2019-2037

  2. predtoolsTS: R package for streamlining time series forecasting

    Progress in Artificial Intelligence, Vol. 8, Núm. 4, pp. 505-510

2018

  1. Dealing with seasonality by narrowing the training set in time series forecasting with kNN

    Expert Systems with Applications, Vol. 103, pp. 38-48

2017

  1. Comparative analysis of data mining and response surface methodology predictive models for enzymatic hydrolysis of pretreated olive tree biomass

    Computers and Chemical Engineering, Vol. 101, pp. 23-30

  2. 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

2016

  1. Recognition of activities in resource constrained environments; reducing the computational complexity

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

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

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)