Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
Conceptualising Fatness within HCI: A Call for Fat Liberation
A Sobey - Proceedings of the CHI Conference on Human Factors …, 2024 - dl.acm.org
Fatness sits at the intersection of many systems of oppression, such as race, gender, class,
and (dis) ability. Anti-fat bias happens out in the open and is prevalent in Western society …
and (dis) ability. Anti-fat bias happens out in the open and is prevalent in Western society …
Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook
Y Ibrahimov, T Anwar, T Yuan - arXiv preprint arXiv:2406.05984, 2024 - arxiv.org
Mental health constitutes a complex and pervasive global challenge, affecting millions of
lives and often leading to severe consequences. In this paper, we conduct a thorough …
lives and often leading to severe consequences. In this paper, we conduct a thorough …
An Intention Inference Method for BiGRU Integrating Multi-head Self-Attention in Share Control
W Zhao, H Wang - 2023 China Automation Congress (CAC), 2023 - ieeexplore.ieee.org
Human-machine cooperative systems based on human-artificial intelligence (AI) in share
control have made substantial progress in recent years. Intention inference, a core …
control have made substantial progress in recent years. Intention inference, a core …