DAVID ENRIQUE
LOSADA CARRIL
Catedrático de universidade
Publicacións (121) Publicacións de DAVID ENRIQUE LOSADA CARRIL
2024
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A Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine
Communications in Computer and Information Science
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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
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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
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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
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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
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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
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Improving the Reliability of Health Information Credibility Assessments
CEUR Workshop Proceedings
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Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview)
CEUR Workshop Proceedings
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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)
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Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict
Social Science Computer Review, Vol. 41, Núm. 5, pp. 1581-1607
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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
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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
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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
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A multistage retrieval system for health-related misinformation detection
Engineering Applications of Artificial Intelligence, Vol. 115
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Do We Still Need Human Assessors' Prompt-Based GPT-3 User Simulation in Conversational AI
ACM International Conference Proceeding Series
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Early Risk Prediction of Mental Health Disorders
Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 1-6
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Overview of eRisk at CLEF 2022: Early Risk Prediction on the Internet (Extended Overview)
CEUR Workshop Proceedings
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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)
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Preface
Studies in Computational Intelligence
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Real-Time Focused Extraction of Social Media Users
IEEE Access, Vol. 10, pp. 42607-42622