Publicacións nas que colabora con DAVID ENRIQUE LOSADA CARRIL (12)

2022

  1. A multistage retrieval system for health-related misinformation detection

    Engineering Applications of Artificial Intelligence, Vol. 115

  2. Real-Time Focused Extraction of Social Media Users

    IEEE Access, Vol. 10, pp. 42607-42622

  3. Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation

    CEUR Workshop Proceedings

2021

  1. CiTIUS at the TREC 2021 Health Misinformation Track

    30th Text REtrieval Conference, TREC 2021 - Proceedings

  2. Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 115-122

  3. Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation

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

  4. Reliability Prediction for Health-Related Content: A Replicability Study

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

2020

  1. A big data platform for real time analysis of signs of depression in social media

    International Journal of Environmental Research and Public Health, Vol. 17, Núm. 13, pp. 1-23

  2. CiTIUS at the TREC 2020 Health Misinformation Track

    29th Text REtrieval Conference, TREC 2020 - Proceedings

  3. eXtream: A system for real-time monitoring of dynamic web sources

    CEUR Workshop Proceedings

2018

  1. A micromodule approach for building real-time systems with python-based models: Application to early risk detection of depression on social media

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

  2. Building python-based topologies for massive processing of social media data in real time

    ACM International Conference Proceeding Series