Rendani Mbuvha

Orcid: 0000-0002-7337-9176

According to our database1, Rendani Mbuvha authored at least 27 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Open problems in causal structure learning: A case study of COVID-19 in the UK.
Expert Syst. Appl., December, 2023

A Signature Transform of Limit Order Book Data for Stock Price Prediction.
IEEE Access, 2023

MphayaNER: Named Entity Recognition for Tshivenda.
Proceedings of the 4th Workshop on African Natural Language Processing, 2023

2022
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic.
CoRR, 2022

Fusing Sell-Side Analyst Bidirectional Forecasts Using Machine Learning.
IEEE Access, 2022

Shadow Magnetic Hamiltonian Monte Carlo.
IEEE Access, 2022

Creating Synthetic Volatility Surfaces using Generative Adversarial Networks with Static Arbitrage Loss Conditions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Probabilistic Inference of South African Equity Option Prices Under Jump-Diffusion Processes.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

2021
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo.
CoRR, 2021

Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique.
CoRR, 2021

Forecasting The JSE Top 40 Using Long Short-Term Memory Networks.
CoRR, 2021

Healing Products of Gaussian Processes.
CoRR, 2021

Locally Scaled and Stochastic Volatility Metropolis- Hastings Algorithms.
Algorithms, 2021

Adaptive Magnetic Hamiltonian Monte Carlo.
IEEE Access, 2021

Utilising Partial Momentum Refreshment in Separable Shadow Hamiltonian Hybrid Monte Carlo.
IEEE Access, 2021

Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo.
IEEE Access, 2021

Magnetic Hamiltonian Monte Carlo With Partial Momentum Refreshment.
IEEE Access, 2021

Antithetic Magnetic and Shadow Hamiltonian Monte Carlo.
IEEE Access, 2021

Stock Price Prediction Using Sentiment Analysis.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection.
CoRR, 2020

Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods.
Algorithms, 2020

Forecasting Hourly Global Horizontal Solar Irradiance in South Africa Using Machine Learning Models.
IEEE Access, 2020

Healing Products of Gaussian Process Experts.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling.
CoRR, 2019

Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
A Hybrid GA-PSO Adaptive Neuro-Fuzzy Inference System for Short-Term Wind Power Prediction.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

2017
On the Performance of Network Parallel Training in Artificial Neural Networks.
CoRR, 2017


  Loading...