| Predicting road traffic accident severity using accident report data in South Africa M Mokoatle, D Vukosi Marivate, P Michael Esiefarienrhe Bukohwo Proceedings of the 20th annual international conference on digital …, 2019 | 37 | 2019 |
| A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application M Mokoatle, V Marivate, D Mapiye, R Bornman, VM Hayes BMC bioinformatics 24 (1), 112, 2023 | 23 | 2023 |
| Coronavirus disease (COVID-19) case data-South Africa V Marivate, R Arbi, H Combrink, A de Waal, H Dryza, D Egersdorfer, ... Zenodo, 2020 | 18 | 2020 |
| Discriminatory Gleason grade group signatures of prostate cancer: An application of machine learning methods M Mokoatle, D Mapiye, V Marivate, VM Hayes, R Bornman PloS one 17 (6), e0267714, 2022 | 5 | 2022 |
| Phenotype Prediction of DNA Sequence Data: A Machine-and Statistical Learning Approach D Mapiye, M Mokoatle, D Makoro, SJ Müller, GS Dlamini, J Mashiyane, ... 2020 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2020 | 2 | 2020 |
| Collision Course: Challenges with Road Traffic Accident Data in South Africa M Mokoatle, V Marivate 2018 International Conference on Advances in Big Data, Computing and Data …, 2018 | 2 | 2018 |
| A comparative study of over-sampling techniques as applied to seismic events M Mokoatle, T Coleman, P Mokilane Southern African Conference for Artificial Intelligence Research, 331-345, 2023 | 1 | 2023 |
| Non-invasive detection of ingested medications DS Mapiye, JJ Mashiyane, G Dlamini, DA Makoro, SJ Muller, M Mokoatle US Patent 11,399,807, 2022 | 1 | 2022 |
| Road traffic accident analysis using machine learning techniques for Soshanguve, Pretoria M Mokoatle North-West University (South Africa), 2019 | 1 | 2019 |
| Downsampling genomic sequence data DS Mapiye, JJ Mashiyane, SJ Muller, M Mokoatle, G Dlamini US Patent App. 16/918,012, 2022 | | 2022 |
