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Fahmid Al Farid

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Open access Oct 2026

DepressNet: an interpretable machine learning framework for depression severity stratification using psychometric data

Depression is a highly prevalent mental health condition worldwide, affecting approximately 332 million individuals and contributing significantly to global disability burden. In computational mental health research, machine learning approaches are increasingly applied to structured psychometric questionnaires; however...

Anika Rahman, Fahmid Al Farid, Md Humaion Kabir Mehedi et al. · 0 citations
Review Open access 2026

Advancing Large Language Models for Low-Resource Languages: A Systematic Review of Pretraining, Adaptation, and Ethical Challenges

This systematic review examines recent progress in the pretraining and adaptation of LLMs for Low-Resource Languages (LRLs) and focuses on the ethics in AI practice, the development of corpora through communities, and interdisciplinary research collaboration among computational linguists, social scientists, and digital...

Ismail Hossain, Mridul Banik, Fahmid Al Farid et al. · 0 citations

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