Publications (37) JOSÉ MANUEL BENÍTEZ SÁNCHEZ publications

filter_list Artificial Intelligence

2025

  1. A Green AI Methodology Based on Persistent Homology for Compressing BERT

    Applied Sciences (Switzerland), Vol. 15, Núm. 1

2024

  1. An Efficient Green AI Approach to Time Series Forecasting Based on Deep Learning

    Big Data and Cognitive Computing, Vol. 8, Núm. 9

  2. Optimizing Convolutional Neural Network Architectures

    Mathematics, Vol. 12, Núm. 19

  3. Optimizing dense feed-forward neural networks

    Neural Networks, Vol. 171, pp. 229-241

  4. Reliable Central Nervous System Tumor Differentiation on MRI Images with Deep Neural Networks and Conformal Prediction

    CEUR Workshop Proceedings

2023

  1. A real-world intelligent system for the diagnosis and triage of COVID-19 in the emergency department

    Signa Vitae, Vol. 19, Núm. 3, pp. 91-102

  2. Complexity measures and features for times series classification

    Expert Systems with Applications, Vol. 213

2021

  1. Multivariate times series classification through an interpretable representation

    Information Sciences, Vol. 569, pp. 596-614

  2. SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments

    International Journal of Computational Intelligence Systems, Vol. 14, Núm. 1

2019

  1. Distributed FastShapelet Transform: a Big Data time series classification algorithm

    Information Sciences, Vol. 496, pp. 451-463

2018

  1. A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark

    Swarm and Evolutionary Computation, Vol. 38, pp. 240-250

  2. On the use of convolutional neural networks for robust classification of multiple fingerprint captures

    International Journal of Intelligent Systems, Vol. 33, Núm. 1, pp. 213-230

  3. Self-labeling techniques for semi-supervised time series classification: an empirical study

    Knowledge and Information Systems, Vol. 55, Núm. 2, pp. 493-528

2017

  1. Nearest neighbor classification for high-speed big data streams using spark

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 47, Núm. 10, pp. 2727-2739

2016

  1. A wrapper evolutionary approach for supervised multivariate discretization: A case study on decision trees

    Advances in Intelligent Systems and Computing

  2. Data discretization: Taxonomy and big data challenge

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 1, pp. 5-21

  3. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification

    IEEE Transactions on Cybernetics, Vol. 46, Núm. 3, pp. 595-608

  4. On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems

    Information Sciences, Vol. 328, pp. 42-59

2015

  1. A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules

    International Journal of Computational Intelligence Systems, Vol. 8, Núm. 3, pp. 422-437

  2. Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification

    Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015