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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Charles Otieno Ndede

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3 papers indexed here

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Open access 2026

A Stochastic Uncertainty-Propagation Framework for Forward-Looking Expected Credit Loss Under IFRS 9: An Empirical Illustration from an Emerging-Market Banking Portfolio

IFRS 9 requires expected credit loss (ECL) measurement to incorporate past events, current conditions and reasonable and supportable forecasts of future economic conditions. This study develops a stochastic uncertainty-propagation framework that maps uncertainty in credit-risk inputs and economic scenarios into a distr...

Charles Otieno Ndede, David Chepkonga, Cheruiyot W. Kipkoech · 0 citations
Open access Aug 2026

Implementation of Partial Cross Entropy Loss for Point-supervised Remote Sensing Image Segmentation

This study presents an implementation framework for point-supervised remote sensing image segmentation using Partial Cross Entropy Loss and provides a simple, modular, and reproducible implementation and establishes a foundation for future investigations involving weakly supervised and semi-supervised remote sensing im...

Loraine Mutune, Tecla Mutave Kyalo, J. Mutinda et al. · 0 citations
Open access Jul 2026

Explainable AI for Malaria Diagnosis: Comparative Analysis of ML Models Using Random Forest Feature Selection and SHAP Interpretability

This framework illustrates, without any claim of clinical validity, how a leakage-safe ML pipeline and SHAP interpretability can be combined and rigorously self-audited; real patient-level data and external validation are required before any clinical inference is drawn.

David Chepkonga, A. Langat, Ebenezer Esenogho et al. · 0 citations

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