8 citations · 22 across the 11 of their papers we have counts for
13 papers
Can we create a `race to the top' for weather forecasts to inform smallholder farmer decisions?
Colin Aitken, Michael K. Tippett, Pedram Hassanzadeh +9
Artificial-intelligence weather prediction (AIWP) models have made it possible to produce high-quality tailored forecasts with limited computational resources. This advance has the…
Suitable Measures for the Potential Operational Utility of AI NWP Rainfall Forecasts Over Africa
Shruti Nath, Docko Sow, Koomi Toussaint Amoussouvi +5
Artificial intelligence (AI)-based weather prediction is approaching the skill of physical numerical weather prediction (NWP) systems at a fraction of the computational cost. This…
Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration
Rendani Mbuvha, Yassine Yaakoubi, John Bagiliko +3
As climate change issues become more pressing, their impact in Africa calls for urgent, innovative solutions tailored to the continent's unique challenges. While Artificial Intelli…
Open problems in causal structure learning: A case study of COVID-19 in the UK
Anthony Constantinou, Neville K. Kitson, Yang Liu +5
Causal machine learning (ML) algorithms recover graphical structures that tell us something about cause-and-effect relationships. The causal representation praovided by these algor…
MphayaNER: Named Entity Recognition for Tshivenda
Rendani Mbuvha, David I. Adelani, Tendani Mutavhatsindi +7
Named Entity Recognition (NER) plays a vital role in various Natural Language Processing tasks such as information retrieval, text classification, and question answering. However,…
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic
Rendani Mbuvha, Julien Yise Peniel Adounkpe, Wilson Tsakane Mongwe +3
Streamflow observation data is vital for flood monitoring, agricultural, and settlement planning. However, such streamflow data are commonly plagued with missing observations due t…
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo
Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Markov Chain Monte Carlo inference of target posterior distributions in machine learning is predominately conducted via Hamiltonian Monte Carlo and its variants. This is due to Ham…
Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique
Rendani Mbuvha, Patience Zondo, Aluwani Mauda +1
We use gradient boosting machines and logistic regression to predict academic throughput at a South African university. The results highlight the significant influence of socio-eco…
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks
Adam Balusik, Jared de Magalhaes, Rendani Mbuvha
As a result of the greater availability of big data, as well as the decreasing costs and increasing power of modern computing, the use of artificial neural networks for financial t…
Healing Products of Gaussian Processes
Samuel Cohen, Rendani Mbuvha, Tshilidzi Marwala +1
Gaussian processes (GPs) are nonparametric Bayesian models that have been applied to regression and classification problems. One of the approaches to alleviate their cubic training…
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection
Rendani Mbuvha, Illyes Boulkaibet, Tshilidzi Marwala
We present an Automatic Relevance Determination prior Bayesian Neural Network(BNN-ARD) weight l2-norm measure as a feature importance statistic for the model-x knockoff filter. We…
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling
Rendani Mbuvha, Illyes Boulkaibet, Tshilidzi Marwala
Credit risk modelling is an integral part of the global financial system. While there has been great attention paid to neural network models for credit default prediction, such mod…
On the Performance of Network Parallel Training in Artificial Neural Networks
Ludvig Ericson, Rendani Mbuvha
Artificial Neural Networks (ANNs) have received increasing attention in recent years with applications that span a wide range of disciplines including vital domains such as medicin…