Charles Otieno Ndede

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

David Kipngetich Chepkonga, Amos Kipkorir Langat, Ebenezer Esenogho, Mohamed Abdirahman Jama, Collins Otieno Owuor, Winnie Jepkonga Kulei, Charles Otieno Ndede, Erick Munala Sifuna, Samuel Kipsang Kaptum, Fred Junior Onyango, John Kamwele Mutinda & Aymar AKILIMALI · Asian Journal of Research in Computer Science · 2026

Malaria remains one of the most significant causes of morbidity and mortality in tropical and subtropical regions, and timely diagnosis is essential for effective case management. Microscopy is the traditional parasitological reference standard, while rapid diagnostic tests (RDTs...

Open access Research Article 10.9734/ajrcos/2026/v19i8899

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

Loraine Mutune, Tecla Mutave Kyalo, John Kamwele Mutinda, David Kipngetich Chepkonga, Jackson Ndoto Munyao, Stacey Jabeha, Amos Kipkorir Langat, Charles Otieno Ndede, Collins Otieno Owuor, Erick Munala Sifuna & Mercy Cherop · Asian Journal of Research in Computer Science · 2026

Weakly supervised semantic segmentation has emerged as a promising approach for reducing the annotation burden associated with dense pixel-level labelling. Among weak supervision strategies, point supervision offers an attractive compromise by requiring only a small subset of lab...

Open access Research Article 10.9734/ajrcos/2026/v19i9902