Publicaciones (60) Publicaciones de JACINTO MATA VAZQUEZ

2023

  1. Automatic Detection in Twitter of Non-Traumatic Grief Due to Deaths by COVID-19: A Deep Learning Approach

    IEEE Access, Vol. 11, pp. 143402-143416

  2. I2C-Huelva at HOPE2023@IberLEF: Simple Use of Transformers for Automatic Hope Speech Detection

    CEUR Workshop Proceedings

  3. I2C-UHU at CLEF-2023 EXIST task: Leveraging Ensembling Language Models to Detect Multilingual Sexism in Social Media

    CEUR Workshop Proceedings

2022

  1. Age-Stratified Analysis of COVID-19 Outcome Using Machine Learning Predictive Models

    Healthcare (Switzerland), Vol. 10, Núm. 10

  2. I2C at PoliticEs 2022: Using Transformers to Identify Political Ideology in Spanish Tweets

    CEUR Workshop Proceedings

2021

  1. Machine learning applied to clinical laboratory data in Spain for COVID-19 outcome prediction: Model development and validation

    Journal of Medical Internet Research, Vol. 23, Núm. 4

2020

  1. Application of classification trees for improving optical identification of common opaque minerals

    Computers and Geosciences, Vol. 140

2019

  1. Application of a Rule-Based Classifier to Data Regarding Radiation Toxicity in Prostate Cancer Treatment

    Communications in Computer and Information Science

  2. Subgroup anomaly detection using high-confidence rules: Application to healthcare data

    HEALTHINF 2019 - 12th International Conference on Health Informatics, Proceedings; Part of 12th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2019

2018

  1. A rule-based method applied to the imbalanced classification of radiation toxicity

    HEALTHINF 2018 - 11th International Conference on Health Informatics, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

  2. Compost y vermicompost como enmiendas en la recuperación de un suelo degradado por el manejo de Gypsophila paniculata

    Scientia Agropecuaria, Vol. 9, Núm. 1, pp. 43-52

2017

  1. Obtaining Significant and Interpretable Rules for Subgroup Discovery Tasks

    IEEE Latin America Transactions, Vol. 15, Núm. 10, pp. 2012-2016

  2. Searching for the most significant rules: an evolutionary approach for subgroup discovery

    Soft Computing, Vol. 21, Núm. 10, pp. 2609-2618

2016

  1. Comparison of Standard Discretization with a New Method for Quantitative Association Rules

    IEEE Latin America Transactions, Vol. 14, Núm. 4, pp. 1879-1885

2015

  1. IPHealth: plataforma inteligente basada en open, linked y big data para la toma de decisiones y aprendizaje en el ámbito de la salud

    Procesamiento del lenguaje natural, Núm. 55, pp. 161-164

2013

  1. Improving image retrieval effectiveness via query expansion using mesh hierarchical structure

    Journal of the American Medical Informatics Association, Vol. 20, Núm. 6, pp. 1014-1020

2012

  1. An evolutionary algorithm to discover quantitative association rules from huge databases without the need for an a priori discretization

    Expert Systems with Applications, Vol. 39, Núm. 1, pp. 585-593

  2. LABERINTO at ImageCLEF 2012 medical image retrieval task

    CEUR Workshop Proceedings

  3. Rule extraction from medical data without discretization of numerical attributes

    HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics

  4. Using MeSH to expand queries in medical image retrieval

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