Apprenticeship learning about multiple intentions M Babes, V Marivate, K Subramanian, ML Littman Proceedings of the 28th international conference on machine learning (ICML …, 2011 | 247 | 2011 |
Participatory research for low-resourced machine translation: A case study in african languages W Nekoto, V Marivate, T Matsila, T Fasubaa, T Kolawole, T Fagbohungbe, ... arXiv preprint arXiv:2010.02353, 2020 | 151 | 2020 |
Unsupervised learning for robust Bitcoin fraud detection P Monamo, V Marivate, B Twala 2016 Information Security for South Africa (ISSA), 129-134, 2016 | 150 | 2016 |
Improving short text classification through global augmentation methods V Marivate, T Sefara Machine Learning and Knowledge Extraction: 4th IFIP TC 5, TC 12, WG 8.4, WG …, 2020 | 117 | 2020 |
A multifaceted approach to bitcoin fraud detection: Global and local outliers PM Monamo, V Marivate, B Twala 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 80 | 2016 |
Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... arXiv preprint arXiv:2112.02721, 2021 | 66 | 2021 |
Masakhane--Machine Translation For Africa I Orife, J Kreutzer, B Sibanda, D Whitenack, K Siminyu, L Martinus, JT Ali, ... arXiv preprint arXiv:2003.11529, 2020 | 60 | 2020 |
Use of available data to inform the COVID-19 outbreak in South Africa: a case study V Marivate, HME Combrink arXiv preprint arXiv:2004.04813, 2020 | 59 | 2020 |
Investigating an approach for low resource language dataset creation, curation and classification: Setswana and Sepedi V Marivate, T Sefara, V Chabalala, K Makhaya, T Mokgonyane, ... Workshop Language Resources and Evaluation Conference 11–16 May 2020, 15, 2020 | 39 | 2020 |
An intelligent multi-agent recommender system for human capacity building VN Marivate, G Ssali, T Marwala MELECON 2008-The 14th IEEE Mediterranean Electrotechnical Conference, 909-915, 2008 | 39 | 2008 |
Data curation during a pandemic and lessons learned from COVID-19 MUG Kraemer, SV Scarpino, V Marivate, B Gutierrez, B Xu, G Lee, ... Nature Computational Science 1 (1), 9-10, 2021 | 35 | 2021 |
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 | 35 | 2019 |
Investigation into the use of autoencoder neural networks, principal component analysis and support vector regression in estimating missing HIV data VN Marivate, FV Nelwamondo, T Marwala IFAC Proceedings Volumes 41 (2), 682-689, 2008 | 35* | 2008 |
Digital forensics supported by machine learning for the detection of online sexual predatory chats CH Ngejane, JHP Eloff, TJ Sefara, VN Marivate Forensic science international: Digital investigation 36, 301109, 2021 | 33 | 2021 |
Unsupervised anomaly detection of healthcare providers using generative adversarial networks K Naidoo, V Marivate Responsible Design, Implementation and Use of Information and Communication …, 2020 | 24 | 2020 |
Why is this an anomaly? Explaining anomalies using sequential explanations T Mokoena, T Celik, V Marivate Pattern Recognition 121, 108227, 2022 | 22 | 2022 |
Catching crime: Detection of public safety incidents using social media V Marivate, P Moiloa 2016 Pattern Recognition Association of South Africa and Robotics and …, 2016 | 22 | 2016 |
An ensemble of linearly combined reinforcement-learning agents VN Marivate, M Littman Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013 | 20 | 2013 |
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 | 19 | 2023 |
Masakhaner 2.0: Africa-centric transfer learning for named entity recognition DI Adelani, G Neubig, S Ruder, S Rijhwani, M Beukman, C Palen-Michel, ... arXiv preprint arXiv:2210.12391, 2022 | 18 | 2022 |