Publikationen, an denen er mitarbeitet Javier Parapar (45)

2024

  1. Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis

    Procesamiento del lenguaje natural, Núm. 73, pp. 69-81

  2. Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

    CLPsych 2024 - 9th Workshop on Computational Linguistics and Clinical Psychology, Proceedings of the Workshop

  3. Overview of eRisk at CLEF 2024: Early Risk Prediction on the Internet (Extended Overview)

    CEUR Workshop Proceedings

  4. Overview of eRisk 2024: Early Risk Prediction on the Internet

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

  5. 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. Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

    Social Science Computer Review, Vol. 41, Núm. 5, pp. 1581-1607

  4. 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. A Survey of the First Five Years of eRisk: Findings and Conclusions

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 31-57

  2. Early Risk Prediction of Mental Health Disorders

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 1-6

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

    CEUR Workshop Proceedings

  4. 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)

  5. Preface

    Studies in Computational Intelligence

  6. The Challenge of Early Risk Prediction on the Internet

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 9-29

  7. The Future of eRisk

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

  8. 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. 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)

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

    CEUR Workshop Proceedings

  3. Testing the tests: Simulation of rankings to compare statistical significance tests in information retrieval evaluation

    Proceedings of the ACM Symposium on Applied Computing