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Wilson Tsakane Mongwe
Wilson Tsakane Mongwe
Machine Learning Research Fellow, University of Johannesburg
Verified email at student.uj.ac.za - Homepage
Title
Cited by
Cited by
Year
A survey of automated financial statement fraud detection with relevance to the South African context
WT Mongwe, KM Malan
South African Computer Journal 32 (1), 74-112, 2020
262020
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
212021
Antithetic magnetic and shadow hamiltonian monte carlo
WT Mongwe, R Mbuvha, T Marwala
IEEE Access 9, 49857-49867, 2021
162021
The efficacy of financial ratios for fraud detection using self organising maps
WT Mongwe, KM Malan
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1100-1106, 2020
152020
Magnetic Hamiltonian Monte Carlo with Partial Momentum Refreshment
WT Mongwe, R Mbuvha, T Marwala
IEEE Access 9, 108009-108016, 2021
112021
Bayesian inference of local government audit outcomes
WT Mongwe, R Mbuvha, T Marwala
Plos one 16 (12), e0261245, 2021
102021
Quantum-inspired magnetic hamiltonian monte carlo
WT Mongwe, R Mbuvha, T Marwala
Plos one 16 (10), e0258277, 2021
82021
Adaptive magnetic hamiltonian monte carlo
WT Mongwe, R Mbuvha, T Marwala
IEEE Access 9, 152993-153003, 2021
72021
Adaptively setting the path length for separable shadow Hamiltonian hybrid Monte Carlo
WT Mongwe, R Mbuvha, T Marwala
IEEE Access 9, 138598-138607, 2021
72021
Antithetic riemannian manifold and quantum-inspired hamiltonian monte carlo
WT Mongwe, R Mbuvha, T Marwala
arXiv preprint arXiv:2107.02070, 2021
72021
Analysis of equity and interest rate returns in South Africa under the context of jump diffusion processes
WT Mongwe
72015
Utilising partial momentum refreshment in separable shadow Hamiltonian hybrid Monte Carlo
WT Mongwe, R Mbuvha, T Marwala
IEEE Access 9, 151235-151244, 2021
62021
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
52022
Locally Scaled and Stochastic Volatility Metropolis–Hastings Algorithms
WT Mongwe, R Mbuvha, T Marwala
Algorithms 14 (12), 351, 2021
52021
Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions
T Sidogi, WT Mongwe, R Mbuvha, T Marwala
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1423-1429, 2022
42022
Fusing Sell-Side Analyst Bidirectional Forecasts Using Machine Learning
T Sidogi, WT Mongwe, R Mbuvha, T Marwala
IEEE Access 10, 76966 - 76974, 2022
32022
Shadow magnetic hamiltonian monte carlo
WT Mongwe, R Mbuvha, T Marwala
IEEE Access 10, 34340-34351, 2022
32022
A novel workflow for streamflow prediction in the presence of missing gauge observations
R Mbuvha, JYP Adounkpe, MCM Houngnibo, WT Mongwe, Z Nikraftar, ...
Environmental Data Science 2, e23, 2023
22023
Imputation of missing streamflow data at multiple gauging stations in Benin Republic
R Mbuvha, JYP Adounkpe, WT Mongwe, M Houngnibo, N Newlands, ...
arXiv preprint arXiv:2211.11576, 2022
22022
Probabilistic inference of south african equity option prices under jump-diffusion processes
WT Mongwe, T Sidogi, R Mbuvha, T Marwala
2022 IEEE Symposium on Computational Intelligence for Financial Engineering …, 2022
22022
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