Publications dans lesquelles il/elle collabore avec Mª TERESA GARCÍA ORDÁS (12)

2024

  1. Determining the severity of Parkinson’s disease in patients using a multi task neural network

    Multimedia Tools and Applications, Vol. 83, Núm. 2, pp. 6077-6092

2023

  1. Heart disease risk prediction using deep learning techniques with feature augmentation

    Multimedia Tools and Applications, Vol. 82, Núm. 20, pp. 31759-31773

  2. Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization

    Lecture Notes in Networks and Systems

  3. One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP

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

2022

  1. BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data

    Metadata and Semantic Research, pp. 148-158

  2. Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT

    PeerJ Computer Science, Vol. 8

  3. Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data

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

2021

  1. Hybrid Model to Calculate the State of Charge of a Battery

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

  2. Hybrid Model to Calculate the State of Charge of a Battery

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

  3. Prototipo de IDS para detección de intrusiones con modelos de machine learning en sistemas IoT de la Industria 4.0

    Revista DYNA, Vol. 96, Núm. 3, pp. 270-275

2020

  1. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

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

  2. Autoencoder Latent Space Influence on IoT MQTT Attack Classification

    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings