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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Cemil Çolak

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2 papers indexed here

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Open access Sep 2026

A Reproducible and Explainable Deep Learning Framework for Dermoscopic Image Analysis in Skin Cancer

Background/Objectives: Cutaneous melanoma caused over 331,000 new cases and 58,000 deaths worldwide in 2022, with five-year survival falling from 99.4% in localised disease to 35.6% after distant metastasis. Most dermoscopic deep learning studies report headline accuracy without addressing data leakage, calibration, or...

Abdulvahap Pınar, F. H. Yagin, Cemil Çolak et al. · 0 citations
Open access 2026

An explainable artificial intelligence–based stacking ensemble for heart failure mortality prediction: A data-leakage-free clinical decision support approach

Accurate mortality risk prediction at emergency department admission is critical for triage and patient safety in heart failure. We aimed to develop a data-leakage-free stacking ensemble model predicting mortality from baseline variables, targeting high sensitivity for clinical safety, and utilizing Explainable Artific...

Fadime Erinci, E. Guldogan, Cemil Çolak · 0 citations

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