Bayesian inference of COVID-19 spreading rates in South Africa R Mbuvha, T Marwala PLoS One 15 (8), e0237126--, 2020 | 75 | 2020 |
Forecasting hourly global horizontal solar irradiance in South Africa using machine learning models T Mutavhatsindi, C Sigauke, R Mbuvha IEEE Access 8, 198872-198885, 2020 | 72 | 2020 |
Bayesian neural networks for one-hour ahead wind power forecasting R Mbuvha, M Jonsson, N Ehn, P Herman 2017 IEEE 6th International conference on renewable energy research and …, 2017 | 31 | 2017 |
Healing Products of Gaussian Process Experts S Cohen, R Mbuvha, T Marwala, MP Deisenroth International Conference on Machine Learning (ICML), 2020 | 27 | 2020 |
Short-term wind speed forecasting using statistical and machine learning methods LO Daniel, C Sigauke, C Chibaya, R Mbuvha Algorithms 13 (6), 132, 2020 | 24 | 2020 |
Separable shadow Hamiltonian hybrid Monte Carlo for Bayesian neural network inference in wind speed forecasting R Mbuvha, WT Mongwe, T Marwala Energy and AI 6, 100108, 2021 | 21 | 2021 |
Stock price prediction using sentiment analysis T Sidogi, R Mbuvha, T Marwala 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 46-51, 2021 | 20 | 2021 |
On data-driven management of the covid-19 outbreak in south africa. medRxiv R Mbuvha, T Marwala medRxiv, 2020 | 20 | 2020 |
Alleviating class imbalance in actuarial applications using generative adversarial networks KS Ngwenduna, R Mbuvha Risks 9 (3), 49, 2021 | 19 | 2021 |
Bayesian automatic relevance determination for feature selection in credit default modelling R Mbuvha, I Boulkaibet, T Marwala International Conference on Artificial Neural Networks, 420-425, 2019 | 17* | 2019 |
Antithetic magnetic and shadow hamiltonian monte carlo WT Mongwe, R Mbuvha, T Marwala IEEE Access 9, 49857-49867, 2021 | 16 | 2021 |
Bayesian neural networks for short term wind power forecasting R Mbuvha | 15 | 2017 |
Bayesian inference of local government audit outcomes WT Mongwe, R Mbuvha, T Marwala Plos one 16 (12), e0261245, 2021 | 14 | 2021 |
Magnetic Hamiltonian Monte Carlo with partial momentum refreshment WT Mongwe, R Mbuvha, T Marwala IEEE Access 9, 108009-108016, 2021 | 11 | 2021 |
On the performance of network parallel training in artificial neural networks L Ericson, R Mbuvha arXiv preprint arXiv:1701.05130, 2017 | 10 | 2017 |
Open problems in causal structure learning: A case study of COVID-19 in the UK A Constantinou, NK Kitson, Y Liu, K Chobtham, AH Amirkhizi, ... Expert Systems with Applications 234, 121069, 2023 | 9 | 2023 |
An analysis of local government financial statement audit outcomes in a developing economy using machine learning K Mabelane, WT Mongwe, R Mbuvha, T Marwala Sustainability 15 (1), 12, 2022 | 8 | 2022 |
Quantum-inspired magnetic hamiltonian monte carlo WT Mongwe, R Mbuvha, T Marwala Plos one 16 (10), e0258277, 2021 | 8 | 2021 |
A hybrid ga-pso adaptive neuro-fuzzy inference system for short-term wind power prediction R Mbuvha, I Boulkaibet, T Marwala, FB de Lima Neto Advances in Swarm Intelligence: 9th International Conference, ICSI 2018 …, 2018 | 8 | 2018 |
Adaptive magnetic hamiltonian monte carlo WT Mongwe, R Mbuvha, T Marwala IEEE Access 9, 152993-153003, 2021 | 7 | 2021 |