Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Horse Therapy, Gender-Neutral Bathrooms, and Hate Crime Work Leave: The Wild Blue State Laws of 2025 Mamdani’s Hands-Off Approach to Homeless Camps Could Spell Disaster for NYC 2025, the Year of the ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

The notion of the divine feminine is a recurring motif in American pop culture, playing with the assumptions people make when referring to God—often the deity described in the Bible—as "He." But in a ...

Abstract: Automatic gender categorization has become an increasingly significant area in computer vision, with several applications. Gender equality is nowadays a keyword for today's scenario. This ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...