Publicaciones (38) Publicaciones de MARÍA DOLORES PÉREZ GODOY

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)

  2. Experimentación con modelos de deep learning para la detección de objetos

    Investigaciones DACIU 2022-2023: Una publicación que refleja los trabajos realizados por los participantes en el programa DACIU en su primera edición (Avanza), pp. 455-460

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

  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

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. 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

  2. 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. Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?

    Solar Energy, Vol. 149, pp. 32-43

  3. 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)

  2. The influence of noise on the evolutionary fuzzy systems for subgroup discovery

    Soft Computing, Vol. 20, Núm. 11, pp. 4313-4330

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)