Effectiveness in stress detection: a comparison from interpretable models to black-box Transformers

It is usually assumed that recent, complex deep-neural models obtain better predictive performance than simpler, more understandable classical machine learning approaches. However, in critical areas such as mental health, the accuracy of the classifiers is not the only aspect to take into account, a...

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Detalles Bibliográficos
Autores principales: Borrovinsky, Lautaro, Cagnina, Leticia, Errecalde, Marcelo Luis
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2024
Materias:
Ciencias Informáticas
Stress Detection
Accuracy
Interpretability
NLP
Mental Health
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/176205
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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