Get started
Author

Tebogo Makaba

Observed name: Makaba, Tebogo
Observed institution: University of Johannesburg
OpenAlex ID: A5018250743
A Comparison of Strategies for Missing Values in Data on Machine Learning Classification Algorithms
2019 · Tebogo Makaba, Eustace Dogo · International Multidisciplinary Information Technology and Engineering Conference (IMITEC) · 24
Exploratory framework for analysing road traffic accident data with validation on Gauteng province data
2020 · Tebogo Makaba, Wesley Doorsamy, et al. · Cogent Engineering · 14
Bayesian Network-Based Framework for Cost-Implication Assessment of Road Traffic Collisions
2020 · Tebogo Makaba, Wesley Doorsamy, et al. · International Journal of Intelligent Transportation Systems Research · 11
A Decade Bibliometric Analysis of Underwater Sensor Network Research on the Internet of Underwater Things: An African Perspective
2020 · Abdulazeez Femi Salami, Eustace M. Dogo, et al. · EAI/Springer Innovations in Communication and Computing · 9
A Decade Bibliometric Review of Road Traffic Accidents and Incidents: A Computational Perspective
2019 · Tebogo Makaba, Barnabas Gatsheni · International Conference on Computational Science and Computational Intelligence (CSCI) · 4
A methodological framework for integrating generalisable deep learning and radiomics fusion model for early lung cancer detection across multi-centre imaging datasets
2026 · Ndivho Tshivhula, Elliot Mbunge, et al. · BMC Medical Informatics and Decision Making · 1
The Use of Machine Learning in Emergency Care Units: A Systematic Review
2026 · Jennifer Nkhwashu, Lizzy Ofusori, et al. · Journal of Primary Care & Community Health · 1
Predicting 30-Day Readmission Risks in Breast Cancer Patients: An Explainable Machine Learning Approach
2026 · Mlondolozi Mqadi, Elliot Mbunge, et al. · Applied Sciences · 1
PDF
Combating Road Traffic Congestion with Big Data: A Bibliometric Review and Analysis of Scientific Research
2021 · Eustace M. Dogo, Tebogo Makaba, et al. · EAI/Springer Innovations in Communication and Computing · 1
Prediction of Depression Risk on Social Media Using Natural Language Processing and Explainable Machine Learning
2026 · Ronewa Mabodi, Elliot Mbunge, et al. · Applied Sciences
PDF
Artificial intelligence in suicide risk assessment: a systematic literature review
2026 · Tsholofelo Mokheleli, Tebogo Makaba, et al. · Discover Artificial Intelligence
PDF
Explainable Machine Learning for Suicide Risk Assessment Using Social Media Data
2026 · Tsholofelo Mokheleli, Tebogo Makaba, et al. · IEEE Access
Generative AI for Enhancing Reproducibility in Mpox Outbreak Models: Code Reconstruction, Synthetic Data Generation and Automated Documentation
2026 · Chadrack Kavula Mulamba, Elliot Mbunge, et al. · IEEE Access
Medicare Fraud Detection Dataset
2023 · Kumar, Prathap, Shungube, Precious, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 14
Citation count: 66
H-index: 4
I10-index: 3
Year
Topic
Type