MARÍA DEL CARMEN BENAVIDES CUÉLLAR-rekin lankidetzan egindako argitalpenak (18)

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

  2. Localización en entornos estructurados basada en la detección de esquinas

    Jornadas de Automática, Núm. 45

2023

  1. Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries

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

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

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

2022

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

    Metadata and Semantic Research, pp. 148-158

  2. Minimum cost Eulerian cycles in road networks

    Iberian Conference on Information Systems and Technologies, CISTI

2021

  1. BERT model-based approach for detecting categories of tweets in the field of eating disorders (ED)

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Diabetes detection using deep learning techniques with oversampling and feature augmentation

    Computer Methods and Programs in Biomedicine, Vol. 202

  3. Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments

    Journal of Supercomputing, Vol. 77, Núm. 11, pp. 13046-13068

  4. Middleware-based multi-agent development environment for building and testing distributed intelligent systems

    Cluster Computing, Vol. 24, Núm. 3, pp. 2313-2325

  5. 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

  6. Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network

    Biomedical Signal Processing and Control, Vol. 69

2020

  1. Analyzing IoT-Based botnet malware activity with distributed low interaction honeypots

    Advances in Intelligent Systems and Computing

  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

  3. 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)

  4. Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation

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

  5. Detecting respiratory pathologies using convolutional neural networks and variational autoencoders for unbalancing data

    Sensors (Switzerland), Vol. 20, Núm. 4

  6. Evaluation of country dietary habits using machine learning techniques in relation to deaths from covid-19

    Healthcare (Switzerland), Vol. 8, Núm. 4