Publicacións (125) Publicacións de DAVID ENRIQUE LOSADA CARRIL

2024

  1. A Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine

    Communications in Computer and Information Science

  2. A user study on people’s perception to the credibility of online health information

    CEUR Workshop Proceedings

  3. An unsupervised perplexity-based method for boilerplate removal

    Natural Language Engineering, Vol. 30, Núm. 1, pp. 132-149

  4. 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

  5. DepressMind: A Depression Surveillance System for Social Media Analysis

    EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations

  6. Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data

    1st Workshop on Patient-Oriented Language Processing, CL4Health 2024 at LREC-COLING 2024 - Workshop Proceedings

  7. LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling

    CEUR Workshop Proceedings

  8. Personality trait analysis during the COVID-19 pandemic: a comparative study on social media

    Journal of Intelligent Information Systems, Vol. 62, Núm. 1, pp. 117-142

  9. 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. DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media

    Proceedings of the Annual Meeting of the Association for Computational Linguistics

  2. Improving the Reliability of Health Information Credibility Assessments

    CEUR Workshop Proceedings

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

    CEUR Workshop Proceedings

  4. 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)

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

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

  6. 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. A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies

    Applied Intelligence, Vol. 52, Núm. 5, pp. 5617-5632

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

    Engineering Applications of Artificial Intelligence, Vol. 115

  4. Do We Still Need Human Assessors' Prompt-Based GPT-3 User Simulation in Conversational AI

    ACM International Conference Proceeding Series

  5. Early Risk Prediction of Mental Health Disorders

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