Work in Progress

  • H Wandera, V Marivate, D Sengeh. Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning [preprint] [ML][SOC]
  • V Marivate, A Moodley, A Saba. Extracting and categorising the reactions to COVID-19 by the South African public – A social media study [preprint] [ML][NLP][SOC]


  • V Marivate, T Sefara. Improving short text classification through global augmentation methods. Machine Learning and Knowledge Extraction. CD-MAKE 2020. Lecture Notes in Computer Science [preprint] [URL] [ML][NLP]
  • N Mtsweni, H MvE Combrink, V Marivate. Mapping the South African health landscape in response to COVID-19. KDD 2020 Workshop on Humanitarian Mapping. [preprint] [SOC]
  • V Marivate, HMvE Combrink. Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study. Data Science Journal [Publication] [Soc]
  • M Naidoo, V Marivate. Unsupervised Anomaly Detection of Healthcare Providers using Generative Adversarial Networks. Responsible Design, Implementation and Use of Information and Communication Technology [Paper URL] [ML][Soc]
  • Masakhane – Machine Translation For Africa. Africa NLP Workshop - ICLR 2020 [preprint] [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. Proceedings of the First workshop on Resources for African Indigenous Languages (RAIL), pages 15–20. [preprint][ML][NLP]


  • H Wandera, V Marivate, D Sengeh. Predicting National School Performance for Policy Making in South Africa.2019 6th International Conference on Soft Computing & Machine Intelligence (ISCMI)[Paper URL][Preprint] [ML][Soc]
  • A Moodley, V Marivate. Topic Modelling of News Articles for Two Consecutive Elections in South Africa. 2019 6th International Conference on Soft Computing & Machine Intelligence (ISCMI). [Paper URL][Preprint][ML][NLP]
  • 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). [Paper URL] [ML][Soc]


  • 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]