117 citations · 805 across the 109 of their papers we have counts for
12 papers · 1 filter
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development
Tshilidzi Marwala, Eleonore Fournier-Tombs, Serge Stinckwich
In the current data driven era, synthetic data, artificially generated data that resembles the characteristics of real world data without containing actual personal information, is…
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…
Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection
Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala
The Ripper algorithm is designed to generate rule sets for large datasets with many features. However, it was shown that the algorithm struggles with classification performance in…
The fuzzy gene filter: A classifier performance assesment
Meir Perez, Tshilidzi Marwala
The Fuzzy Gene Filter (FGF) is an optimised Fuzzy Inference System designed to rank genes in order of differential expression, based on expression data generated in a microarray ex…
Land Cover Mapping Using Ensemble Feature Selection Methods
A. Gidudu, B. Abe, T. Marwala
Ensemble classification is an emerging approach to land cover mapping whereby the final classification output is a result of a consensus of classifiers. Intuitively, an ensemble sy…
The use of entropy to measure structural diversity
L. Masisi, V. Nelwamondo, T. Marwala
In this paper entropy based methods are compared and used to measure structural diversity of an ensemble of 21 classifiers. This measure is mostly applied in ecology, whereby speci…