Publicaciones (80) Publicaciones de ANTONIO JESÚS RIVERA RIVAS

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. 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

  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. 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. El ecosistema de aprendizaje del estudiante universitario en la post-pandemia: metodologías y herramientas

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 10, pp. 15-38

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

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

  3. Automatic Time Series Forecasting with GRNN: A Comparison with Other Models

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

  4. Automating Autoencoder Architecture Configuration: An Evolutionary Approach

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

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

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

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

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

  7. Time series forecasting with KNN in R: The tsfknn Package

    R Journal, Vol. 11, Núm. 2, pp. 229-242