Diego Maupomé
According to our database1,
Diego Maupomé
authored at least 18 papers
between 2018 and 2024.
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Bibliography
2024
Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024
2023
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
Inf., 2022
Automatic Text Simplification of News Articles in the Context of Public Broadcasting.
CoRR, 2022
Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models.
Proceedings of the Working Notes of CLEF 2020, 2020
2019
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019
Proceedings of the Advances in Artificial Intelligence, 2019
2018
Using Topic Extraction on Social Media Content for the Early Detection of Depression.
Proceedings of the Working Notes of CLEF 2018, 2018