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Mohd. Arshad

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#machine learning Preprint Sep 2026

Beyond Benchmark Scores: Auditing Medical Vision-Language Models for Chest X-Ray Tuberculosis Screening

A medical model's benchmark score does not establish that the same conclusion holds under a different evaluation. This study tests whether claims about model ranking, score reliability and screening performance survive changes in cohort, prompt, negative spectrum, specified prevalence and operating threshold. We audit...

M. Akhtar, M. Tanveer, Mohd. Arshad · 0 citations
#machine learning Preprint Aug 2026

Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty

Wave-BLS, a robust broad learning framework that integrates the wave loss function, which is asymmetric, bounded, and smooth, enabling controlled penalization of large errors, is proposed, establishing Wave-BLS as a stable and robust alternative to existing broad learning models for learning under data uncertainty.

M. Akhtar, A. Varshney, A. Quadir et al. · 0 citations
#machine learning Preprint Aug 2026

Residual-Guided Randomized Neural Networks

A simple and broadly applicable residual guided procedure that greedily constructs the hidden layer using a closed form residual decrease criterion and yields a progressive training process with a guaranteed monotonic decrease of the training objective.

M. Akhtar, M. Tanveer, Mohd. Arshad · 0 citations

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