Vukosi Marivate

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Tshephisho SefaraCouncil for Scientific and Industrial ResearchVerified email at csir.co.za
Michael LittmanBrown UniversityVerified email at brown.edu
Dr. Herkulaas CombrinkUniversity of the Free StateVerified email at ufs.ac.za
Abiodun ModupeUniversity of Pretoria, Department of Computer Science.Verified email at cs.up.ac.za
Jade AbbottMasakhane, Lelapa AIVerified email at lelapa.ai
Tshilidzi Marwala (チリツィマルワラ)Rector of the United Nations UniversityVerified email at unu.edu
Mpho MokoatleUniversity of PretoriaVerified email at tuks.co.za
Salomon KABONGO KABENAMUALULeibniz University of Hannover, TIB Leibniz Information Centre for Science and Technology, L3SVerified email at tib.eu
Monica Babes VromanComputer Science, Rutgers UnivsersityVerified email at cs.rutgers.edu
Laura MartinusVerified email at prodigyfinance.com
Elan van BiljonGraduate student, Stellenbosch UniversityVerified email at sun.ac.za
Espoir MurhabaziUniversity of EssexVerified email at essex.ac.uk
Tumisho Billson MokgonyaneUniversity of Limpopo | University of South AfricaVerified email at unisa.ac.za
Bonaventure F. P. DossouDeep Learning and NLP Research at McGill University & Mila Quebec AI InstituteVerified email at mail.mcgill.ca
Kaushik SubramanianSenior Research Scientist, Sony AIVerified email at ai.sony
Herman KamperStellenbosch UniversityVerified email at sun.ac.za
Turgay CelikVerified email at wits.ac.za
Julia KreutzerResearch Scientist at Cohere For AIVerified email at cohere.com
Blessing K. SibandaMasakhaneVerified email at hit.ac.zw
David Ifeoluwa AdelaniMcGill University and Mila - Quebec AI Institute and Canada CIFAR AI ChairVerified email at mila.quebec

Vukosi Marivate

University of Pretoria, Lelapa AI, Deep Learning Indaba, Masakhane NLP

Verified email at cs.up.ac.za - Homepage

Data Science Natural Language Processing Machine Learning Artificial Intelligence Reinforcement learning


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Apprenticeship learning about multiple intentions M Babes, V Marivate, K Subramanian, ML Littman Proceedings of the 28th international conference on machine learning (ICML …, 2011	262	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	175	2020
Unsupervised learning for robust Bitcoin fraud detection P Monamo, V Marivate, B Twala 2016 Information Security for South Africa (ISSA), 129-134, 2016	163	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	132	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	85	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	73	2021
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	65	2020
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	63	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	44	2008
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	42	2020
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	39	2019
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	38	2021
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	37	2021
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
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	30	2023
Why is this an anomaly? Explaining anomalies using sequential explanations T Mokoena, T Celik, V Marivate Pattern Recognition 121, 108227, 2022	26	2022
Unsupervised anomaly detection of healthcare providers using generative adversarial networks K Naidoo, V Marivate Responsible Design, Implementation and Use of Information and Communication …, 2020	25	2020
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	24	2016
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	23	2022
An ensemble of linearly combined reinforcement-learning agents VN Marivate, M Littman Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013	21	2013

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