Hussein Al Osman — accepted AI-conference papers

2023

Relapse Detection in Patients with Psychotic Disorders Using Unsupervised Learning on Smartwatch Signals

Salam Hamieh, Vincent Heiries, Hussein Al Osman, Christelle Godin

ICASSP 2023accepted

Relapse detection is a crucial component of mental disorders treatment and management. In this paper, we present our solution for the ICASSP Signal Processing Grand Challenge e-Prevention track 2 Relapse Detection. We propose an unsupervised learning approach to detect relapse in patients with menta…

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2020

A Hybrid Model for Bipolar Disorder Classification from Visual Information

Niloufar Abaei, Hussein Al Osman

ICASSP 2020accepted

Bipolar Disorder (BD) is one of the most prevalent mental illnesses in the world. It has a negative impact on people's social and personal functions. The principal indicator of BD is the extreme swing in the mood ranging from manic to depressive states. This paper addresses the challenge of detectin…

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