Author

Muhammad Shoaib Siddiqui

2 papers indexed here

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Open access Oct 2026

KGEN: A Knowledge-Guided Evolutionary Framework for Feature Selection in Breast Cancer Risk Assessment

Choosing which features go into a clinical risk model is not only a statistical problem. A model that is accurate but whose feature list makes no clinical sense will not be trusted by the physicians it is meant to help, and most feature-selection methods still include a clinician’s judgment only as a filter applied aft...

Saadia Humayun, Tariq Mahmood, M. Moosajee et al. · Mathematics · 0 citations

#artificial intelligence Preprint Sep 2026

Beyond Accuracy: Centroid-Guided Contrastive Loss for Structured Fraudulent Job Posting Detection

Centroid-Guided Contrastive Loss (CGCL), a loss function which unifies classification with densely formulated clustering to consistently reshape latent-space through a centroid-driven top-$k$ push-and-pull mechanism, is proposed.

Syed Ali Ahmed, M. Raza, Muhammad Shoaib Siddiqui et al. · 0 citations