Author

S. Venkatesh

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#machine learning Preprint Aug 2026

Predicting Symptoms of Amotivation and Anhedonia among University Students with a Novel Oversampling Method

University students experience disproportionately high rates of common mental health conditions, such as depression, which can impair learning, social functioning, and overall well-being. Within this context, symptoms of amotivation (i.e. loss of motivational drive) and anhedonia (i.e. diminished interest or pleasure)...

Dang Nguyen, Bao Duong, Arun Kumar et al. · 0 citations

#natural language process... Preprint Sep 2026

Creative Generation via Multi-Agent Debate: Does Debate Suppress Diversity?

This work proposes Creative-MAD, which introduces two synergistic interventions to sustain agent divergence, and significantly enhances both lexical and semantic diversity while maintaining MAD's output quality.

Tien-Thuy Nguyen, Khanh K. Nguyen, Van Dai Do et al. · 1 citation

#machine learning Preprint Aug 2026

SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students

By improving the reliable identification of non-responders, the method provides a robust computational tool to help clinicians rapidly pivot to adjunctive therapies, thereby personalizing and optimizing mental health care pathways.

Dang Nguyen, V. ArunKumarA., Taylor A. Braund et al. · 0 citations