Publicaciones en las que colabora con ANTONIO JESÚS RIVERA RIVAS (40)

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

2021

  1. 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. 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)

  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

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

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

  6. predtoolsTS: R package for streamlining time series forecasting

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

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