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Kazi Saeed Alam

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#artificial intelligence Preprint Sep 2026

Attention-Enhanced Deep Features with Heterogeneous Ensemble Learning for Glaucoma Detection

Experimental evaluation on two public retinal fundus datasets demonstrates that deep feature-based methods consistently outperform handcrafted feature-based methods, while the proposed attention-enhanced framework achieves the best overall performance.

Abdullah Al Shafi, Nishat Sadaf Lira, A. Hasan et al. · 0 citations

DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models

DASH is introduced, which supervises the conditional and unconditional branches independently and an anchor term regularises the conditional prediction toward ground-truth noise, and the teacher's final learned per-timestep curriculum transfers into the student as a frozen prior.

A. Shafi, Kazi Saeed Alam, Sk. Imran Hossain et al. · 1 citation

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