The impact of ensemble diversity on learning big data in dynamic environments. - Tinofirei Museba (ICICIS, 2019)

Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts. - Tinofirei Museba; Fulufhelo V. Nelwamondo; Khmaies Ouahada; Ayokunle Akinola (Appl. Comput. Intell. Soft Comput., 2021)

An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments. - Tinofirei Museba; Fulufhelo V. Nelwamondo; Khmaies Ouahada (Comput. Intell. Neurosci., 2021)

ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift. - Tinofirei Museba; Fulufhelo V. Nelwamondo; Khmaies Ouahada (Mob. Inf. Syst., 2021)

An Adaptive and Dynamic Heterogeneous Ensemble Model for Credit Scoring. - Tinofirei Museba (IDIA, 2022)

An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction. - Tsholofelo Mokheleli; Tebogo Bokaba; Tinofirei Museba (ACIS, 2023)