Wine Feature Importance and Quality Prediction: A Comparative Study of Machine Learning Algorithms with Unbalanced Data. - Siphendulwe Zaza; Marcellin Atemkeng; Sisipho Hamlomo (SAFER-TEA, 2023)

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants. - Marcellin Atemkeng; Victor Osanyindoro; Rockefeller Rockefeller; Sisipho Hamlomo; Jecinta Mulongo; Theophilus Ansah-Narh; Franklin Tchakounté; Arnaud Nguembang Fadja (CoRR, 2023)

Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions. - Sisipho Hamlomo; Marcellin Atemkeng; Yusuf Brima; Chuneeta Nunhokee; Jeremy Baxter (CoRR, 2024)

Ethics of Software Programming with Generative AI: Is Programming without Generative AI always radical? - Marcellin Atemkeng; Sisipho Hamlomo; Brian Welman; Nicole Oyentunji; Pouya Ataei; Jean Louis Ebongue Kedieng Fendji (CoRR, 2024)

Ensemble learning and deep learning-based defect detection in power generation plants. - Marcellin Atemkeng; Victor Osanyindoro; Rockefeller Rockefeller; Sisipho Hamlomo; Jecinta Mulongo; Theophilus Ansah-Narh; Franklin Tchakounté; Arnaud Nguembang Fadja (J. Intell. Syst., 2024)

Clustering-based Low-Rank Matrix Approximation: An Adaptive Theoretical Analysis with Application to Data Compression. - Sisipho Hamlomo; Marcellin Atemkeng (CoRR, 2025)

A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging. - Sisipho Hamlomo; Marcellin Atemkeng; Yusuf Brima; Chuneeta Nunhokee; Jeremy Baxter (Neural Comput. Appl., 2025)