DAVID ENRIQUE
LOSADA CARRIL
Catedrático de universidade
JUAN CARLOS
PICHEL CAMPOS
Profesor titular de universidade
Publicacións nas que colabora con JUAN CARLOS PICHEL CAMPOS (14)
2024
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An unsupervised perplexity-based method for boilerplate removal
Natural Language Engineering, Vol. 30, Núm. 1, pp. 132-149
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Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022
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A multistage retrieval system for health-related misinformation detection
Engineering Applications of Artificial Intelligence, Vol. 115
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Real-Time Focused Extraction of Social Media Users
IEEE Access, Vol. 10, pp. 42607-42622
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Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation
CEUR Workshop Proceedings
2021
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CiTIUS at the TREC 2021 Health Misinformation Track
30th Text REtrieval Conference, TREC 2021 - Proceedings
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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
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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)
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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
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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
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CiTIUS at the TREC 2020 Health Misinformation Track
29th Text REtrieval Conference, TREC 2020 - Proceedings
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eXtream: A system for real-time monitoring of dynamic web sources
CEUR Workshop Proceedings
2018
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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)
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Building python-based topologies for massive processing of social media data in real time
ACM International Conference Proceeding Series