S Yasin, A Othmani, I Raza, SA Hussain - Computers in Biology and …, 2023 - Elsevier
Mental disorders are rapidly increasing each year and have become a major challenge affecting the social and financial well-being of individuals. There is a need for phenotypic …
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging information, delivering comments, finding new information, and engaging in discussions that …
J Yoon, C Kang, S Kim, J Han - Proceedings of the AAAI Conference on …, 2022 - ojs.aaai.org
Detecting depression based on non-verbal behaviors has received great attention. However, most prior work on detecting depression mainly focused on detecting depressed …
M Muzammel, H Salam, Y Hoffmann… - Machine Learning with …, 2020 - Elsevier
Depression is a common and serious mood disorder that negatively affects the patient's capacity of functioning normally in daily tasks. Speech is proven to be a vigorous tool in …
Effective and efficient automatic depression diagnosis is a challenging subject in the field of affective computing. Since speech signals provide useful information for diagnosing …
W Zheng, L Yan, FY Wang - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Depression is a critical problem in modern society that affects an estimated 350 million people worldwide, causing feelings of sadness and a lack of interest and pleasure …
F Yin, J Du, X Xu, L Zhao - Electronics, 2023 - mdpi.com
As a common mental disorder, depression becomes a major threat to human health and may even heavily influence one's daily life. Considering this background, it is necessary to …
Y Tao, M Yang, Y Wu, K Lee, A Kline, B Hu - Digital Communications and …, 2023 - Elsevier
With the rapid rise of information transmission via the Internet, efforts have been made to reduce network load to promote efficiency. One such application is semantic computing …
Y Zhou, X Yao, W Han, Y Wang, Z Li… - International Journal of …, 2022 - Wiley Online Library
Objectives This study aimed to develop a classification model to detect and distinguish apathy and depression based on text, audio, and video features and to make use of the …