Publicaciones (22) Publicaciones de JUAN LUIS DOMINGUEZ OLMEDO

2024

  1. Assessing citizen science data quality for bird monitoring in the Iberian Peninsula

    Scientific Reports, Vol. 14, Núm. 1

2023

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

    CEUR Workshop Proceedings

  2. 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. Automatic Sexism Identification Using an Ensemble of Pretrained Transformers

    CEUR Workshop Proceedings

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

    CEUR Workshop Proceedings

2021

  1. Identification of profession & occupation in Health-related Social Media using tweets in Spanish

    Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks

  2. 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

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. Deterministic extraction of compact sets of rules for subgroup discovery

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

2014

  1. Improving the Classifier CBA with an Additional Pruning Method

    Third International Conference on Informatics Engineering and Information Science (ICIEIS2014)

2012

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

    HEALTHINF 2012 - Proceedings of the International Conference on Health Informatics

2011

  1. A deterministic approach to association rule mining without attribute discretization

    Communications in Computer and Information Science

  2. Multi-objective evolutionary approach for subgroup discovery

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