Work in Progress

  • V Marivate, T Sefara. Improving short text classification through global augmentation methods [preprint] [ML][NLP]
  • V Marivate, T Sefara, V Chabalala, K Makhaya, T Mokgonyane, R Mokoena, A Modupe.Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi [[preprint]][ML][NLP]


  • M Naidoo, V Marivate. Unsupervised Anomaly Detection of Healthcare Providers using Generative Adversarial Networks [Accepted]


  • H Wandera, V Marivate, D Sengeh. Predicting National School Performance for Policy Making in South Africa. [Accepted] [ML][Soc] [Preprint]
  • A Moodley, V Marivate. Topic Modelling of News Articles for Two Consecutive Elections in South Africa [Accepted] [ML][NLP][Preprint]
  • M Mokoatle, V Marivate, M Esiefarienrhe. Predicting Road Traffic Accident Severity using Accident Report Data in South Africa, Proceedings of 20th Annual International Conference on Digital Government Research (dg.o’20) [ML][Soc] - URL


  • V Marivate, N Moorosi. Exploring data science for public good in South Africa: evaluating factors that lead to success [Soc]- URL
  • M Mokoatle, V Marivate. Collision Course: Challenges with Road Traffic Accident Data in South Africa. 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) [ML][Soc] - URL


  • Bringing Sequential Feature Explanations to life. Tshepiso Mokoena, Ofentswe Lebogo, Asive Dlaba, Vukosi Marivate [2017]
  • Employment relations: A data driven analysis of job markets using online job boards and online professional networks. Web Intelligence 17, Vukosi Marivate, Nyalleng Moorosi [2017]
  • Semi-supervised probabilistics approach for normalising informal short text messages. 2017 Conference on Information Communication Technology and Society (ICTAS). Abiodun Modupe, Turgay Celik, Vukosi Marivate, Melvin Diale [2017]
  • A critical and ecosystem consideration of data for sustainable development in Africa. International Conference on Social Implications of Computers in Developing Countries. Nyalleng Moorosi, Mamello Thinyane, Vukosi Marivate [2017]


  • Tackling Imbalanced Data Sets For Sequential Feature Explanation Generation Using Cost Sensitive Learning And Sampling. AusDM. Tshepiso Mokoena, Vukosi Marivate, Turgay Celik [2016]
  • A Multifaceted Approach to Bitcoin Fraud Detection: Global and Local Outliers. ICMLA. Patrick Monamo, Vukosi Marivate and Bhekisipho Twala [2016]
  • Research using Social Media Data, Developing Country Perspectives. AfriCHI. Vukosi Marivate and Nyalleng Moorosi [2016] Workshop.
  • Catching Crime: Detection of Public Safety Incidents using Social Media. PRASA. Vukosi Marivate and Pelonomi Moiloa [2016]
  • Unsupervised Learning for Robust Bitcoin Fraud Detection. ISSA. Patrick Monamo, Vukosi Marivate and Bhekisipho Twala [2016]


  • Extracting South African safety and security incident patterns from social media. PRASA. Vukosi Marivate [2015]
  • Privacy In Mining Crime Data From Social Media: A South African Perspective. INFOSEC. Nyalleng Moorosi and Vukosi Marivate [2015]