Publicacións nas que colabora con DAVID ENRIQUE LOSADA CARRIL (13)

2024

  1. eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

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

2023

  1. Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview)

    CEUR Workshop Proceedings

  2. Overview of eRisk 2023: Early Risk Prediction on the Internet

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

  3. eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges

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

2022

  1. Overview of eRisk at CLEF 2022: Early Risk Prediction on the Internet (Extended Overview)

    CEUR Workshop Proceedings

  2. Overview of eRisk 2022: Early Risk Prediction on the Internet

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

  3. The Future of eRisk

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 323-335

  4. eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges

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

2021

  1. CiTIUS at the TREC 2021 Health Misinformation Track

    30th Text REtrieval Conference, TREC 2021 - Proceedings

  2. Overview of eRisk 2021: Early Risk Prediction on the Internet

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

  3. Overview of eRisk at CLEF 2021: Early risk prediction on the internet (Extended overview)

    CEUR Workshop Proceedings

  4. eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges

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

2020

  1. Evaluating and improving lexical resources for detecting signs of depression in text

    Language Resources and Evaluation, Vol. 54, Núm. 1