Depression affects more than 280 million people worldwide, and social media text provides a large-scale resource for automated mental health assessment. Large language model (LLM)-based approaches have shown promising performance for social media-based depression detection; however, their cross-lingual robustness for...
The proposed approach uses a novel training-free, age-conditioned face synthesis technique based on geometrically guided W-space traversal of StyleGAN2, enabling the disentangled generation of synthetic faces across target age groups, and consistently improves predictions for underrepresented age groups.
Qaiser Abbas, Muhammad Farooq, Tanvir Alam· Scientific Reports· 0 citations
The proposed framework, UMAP-ERG, will advance the current status quo for ASD detection and enable the ophthalmologists, neuro-ophthalmologists, electrophysiologists, etc., to utilize AI-enabled decision-making process.
M. Anwar, M. T. Islam, Tanvir Alam· Scientific Reports· 0 citations
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