On the Performance of Network Parallel Training in Artificial Neural Networks. - Ludvig Ericson; Rendani Mbuvha (CoRR, 2017)

A Hybrid GA-PSO Adaptive Neuro-Fuzzy Inference System for Short-Term Wind Power Prediction. - Rendani Mbuvha; Ilyes Boulkaibet; Tshilidzi Marwala; Fernando Buarque de Lima Neto (ICSI (1), 2018)

Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling. - Rendani Mbuvha; Ilyes Boulkaibet; Tshilidzi Marwala (ICANN (Workshop), 2019)

Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling. - Rendani Mbuvha; Ilyes Boulkaibet; Tshilidzi Marwala (CoRR, 2019)

Healing Products of Gaussian Process Experts. - Samuel Cohen; Rendani Mbuvha; Tshilidzi Marwala; Marc Peter Deisenroth (ICML, 2020)

Forecasting Hourly Global Horizontal Solar Irradiance in South Africa Using Machine Learning Models. - Tendani Mutavhatsindi; Caston Sigauke; Rendani Mbuvha (IEEE Access, 2020)

Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods. - Lucky O. Daniel; Caston Sigauke; Colin Chibaya; Rendani Mbuvha (Algorithms, 2020)

An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection. - Rendani Mbuvha; Ilyes Boulkaibet; Tshilidzi Marwala (CoRR, 2020)

Stock Price Prediction Using Sentiment Analysis. - Thendo Sidogi; Rendani Mbuvha; Tshilidzi Marwala (SMC, 2021)

Antithetic Magnetic and Shadow Hamiltonian Monte Carlo. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2021)

Magnetic Hamiltonian Monte Carlo With Partial Momentum Refreshment. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2021)

Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2021)

Utilising Partial Momentum Refreshment in Separable Shadow Hamiltonian Hybrid Monte Carlo. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2021)

Adaptive Magnetic Hamiltonian Monte Carlo. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2021)

Locally Scaled and Stochastic Volatility Metropolis- Hastings Algorithms. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (Algorithms, 2021)

Healing Products of Gaussian Processes. - Samuel Cohen; Rendani Mbuvha; Tshilidzi Marwala; Marc Peter Deisenroth (CoRR, 2021)

Forecasting The JSE Top 40 Using Long Short-Term Memory Networks. - Adam Balusik; Jared de Magalhaes; Rendani Mbuvha (CoRR, 2021)

Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique. - Rendani Mbuvha; Patience Zondo; Aluwani Mauda; Tshilidzi Marwala (CoRR, 2021)

Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (CoRR, 2021)

Probabilistic Inference of South African Equity Option Prices Under Jump-Diffusion Processes. - Wilson Tsakane Mongwe; Thendo Sidogi; Rendani Mbuvha; Tshilidzi Marwala (CIFEr, 2022)

Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions. - Thendo Sidogi; Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (SSCI, 2022)

Shadow Magnetic Hamiltonian Monte Carlo. - Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2022)

Fusing Sell-Side Analyst Bidirectional Forecasts Using Machine Learning. - Thendo Sidogi; Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala (IEEE Access, 2022)

Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic. - Rendani Mbuvha; Julien Yise Peniel Adounkpe; Wilson Tsakane Mongwe; Mandela Houngnibo; Nathaniel Newlands; Tshilidzi Marwala (CoRR, 2022)

MphayaNER: Named Entity Recognition for Tshivenda. - Rendani Mbuvha; David Ifeoluwa Adelani; Tendani Mutavhatsindi; Tshimangadzo Rakhuhu; Aluwani Mauda; Tshifhiwa Joshua Maumela; Andisani Masindi; Seani Rananga; Vukosi Marivate; Tshilidzi Marwala (AfricaNLP, 2023)

A Signature Transform of Limit Order Book Data for Stock Price Prediction. - Thendo Sidogi; Wilson Tsakane Mongwe; Rendani Mbuvha; Peter O. Olukanmi; Tshilidzi Marwala (IEEE Access, 2023)

Open problems in causal structure learning: A case study of COVID-19 in the UK. - Anthony C. Constantinou; Neville Kenneth Kitson; Yang Liu 206; Kiattikun Chobtham; Arian Hashemzadeh; Praharsh A. Nanavati; Rendani Mbuvha; Bruno Petrungaro (Expert Syst. Appl., 2023)

Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration. - Rendani Mbuvha; Yassine Yaakoubi; John Bagiliko; Santiago Hincapie Potes; Amal Nammouchi; Sabrina Amrouche (CoRR, 2024)