Publicaciones en las que colabora con MARÍA JOSÉ DEL JESÚS DÍAZ (58)

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. NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

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

  3. XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

    Artificial Intelligence in Medicine, Vol. 137

  4. mldr.resampling: Efficient reference implementations of multilabel resampling algorithms

    Neurocomputing, Vol. 559

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. ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders

    Information Sciences, Vol. 565, pp. 146-176

2020

  1. Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines

    Information Fusion, Vol. 54, pp. 44-60

  2. EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search

    Integrated Computer-Aided Engineering

2019

  1. A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy

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

  2. Automating Autoencoder Architecture Configuration: An Evolutionary Approach

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

  3. Dealing with difficult minority labels in imbalanced mutilabel data sets

    Neurocomputing, Vol. 326-327, pp. 39-53

  4. REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization

    Neurocomputing, Vol. 326-327, pp. 110-122

2018

  1. A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders

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

  2. AEkNN: An autoencoder kNN–based classifier with built-in dimensionality reduction

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 1, pp. 436-452

  3. Análisis del impacto de datos desbalanceados en el rendimiento predictivo de redes neuronales convolucionales

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

  4. Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository

    Neurocomputing, Vol. 289, pp. 68-85

  5. Una primera aproximación a la predicción de variables turísticas con Deep Learning

    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