Exploring Federated Learning to Trace Depression in Social Media with Language Models
AB Vasconcelos, LMA Drummond… - 2023 International …, 2023 - ieeexplore.ieee.org
Due to the rising numbers of depression cases in recent years, many initiatives have
investigated the use of Machine Learning models to detect depressive symptoms from the …
investigated the use of Machine Learning models to detect depressive symptoms from the …
Emotional Evaluation of Open-Ended Responses with Transformer Models
A Pajón-Sanmartín, F de Arriba-Pérez… - World Conference on …, 2024 - Springer
Abstract This work applies Natural Language Processing (NLP) techniques, specifically
transformer models, for the emotional evaluation of open-ended responses. Today's …
transformer models, for the emotional evaluation of open-ended responses. Today's …
[PDF][PDF] Applications of Artificial Intelligence to Support the Diagnosis, Treatment, and Prognosis of Men-tal Disorders
P Mann, EHM UFF, AP UFF - 2024 - researchgate.net
This theoretical short course aims to present the main challenges and trends in Artificial
Intelligence applications to support the diagnosis, treatment, and prognosis of mental …
Intelligence applications to support the diagnosis, treatment, and prognosis of mental …
Leveraging Anomaly Detection for Affective Computing Applications
S Hamieh - 2024 - theses.hal.science
Recent technological advancements have paved the way for automation in various sectors,
from education to autonomous driving, collaborative robots, and customer service. This has …
from education to autonomous driving, collaborative robots, and customer service. This has …
Automatic Depression Detection Using Attention-Based Deep Multiple Instance Learning
Depression is a serious mental illness and one of the leading causes of suicide worldwide.
However, the social prejudice and the lack of psychiatrists for depression lead to a …
However, the social prejudice and the lack of psychiatrists for depression lead to a …