MARÍA JOSÉ DEL
JESÚS DÍAZ
CATEDRATICO DE UNIVERSIDAD
ANTONIO JESÚS
RIVERA RIVAS
TITULAR DE UNIVERSIDAD
Publicaciones en las que colabora con ANTONIO JESÚS RIVERA RIVAS (58)
2023
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Analysis of Transformer Model Applications
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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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)
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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
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mldr.resampling: Efficient reference implementations of multilabel resampling algorithms
Neurocomputing, Vol. 559
2022
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Analysis of clustering methods for crop type mapping using satellite imagery
Neurocomputing, Vol. 492, pp. 91-106
2021
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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
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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
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ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders
Information Sciences, Vol. 565, pp. 146-176
2020
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Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines
Information Fusion, Vol. 54, pp. 44-60
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EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search
Integrated Computer-Aided Engineering
2019
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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)
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Automating Autoencoder Architecture Configuration: An Evolutionary Approach
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Dealing with difficult minority labels in imbalanced mutilabel data sets
Neurocomputing, Vol. 326-327, pp. 39-53
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REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization
Neurocomputing, Vol. 326-327, pp. 110-122
2018
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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)
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AEkNN: An autoencoder kNN–based classifier with built-in dimensionality reduction
International Journal of Computational Intelligence Systems, Vol. 12, Núm. 1, pp. 436-452
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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
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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
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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
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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