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Tinofirei Museba

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2020 – today

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2023
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Tsholofelo Mokheleli, Tebogo Bokaba, Tinofirei Museba:
An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction. ACIS 2023
2022
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Tinofirei Museba:
An Adaptive and Dynamic Heterogeneous Ensemble Model for Credit Scoring. IDIA 2022: 304-319
2021
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Tinofirei Museba, Fulufhelo V. Nelwamondo, Khmaies Ouahada, Ayokunle Akinola:
Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts. Appl. Comput. Intell. Soft Comput. 2021: 5533777:1-5533777:13 (2021)
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Tinofirei Museba, Fulufhelo V. Nelwamondo, Khmaies Ouahada:
An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments. Comput. Intell. Neurosci. 2021: 6669706:1-6669706:11 (2021)
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Tinofirei Museba, Fulufhelo V. Nelwamondo, Khmaies Ouahada:
ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift. Mob. Inf. Syst. 2021: 5549300:1-5549300:17 (2021)

2010 – 2019

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2019
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Tinofirei Museba:
The impact of ensemble diversity on learning big data in dynamic environments. ICICIS 2019: 227-240

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