| 2021 | IJCCI | Multivariate Short Term Load Forecasting Strategy: Application to Anomalous Days of ISO New England Data. | Innocent Sizo Duma, Bhekisipho Twala |
| 2020 | IJCCI | Classifying Incomplete Vectors using Decision Trees. | Bhekisipho Twala, Raj Pillay, Ramapulana Nkoana |
| 2017 | ACIIDS | Increasing the Detection of Minority Class Instances in Financial Statement Fraud. | Stephen Obakeng Moepya, Fulufhelo V. Nelwamondo, Bhekisipho Twala |
| 2017 | SMC | Deep learning-bat high-dimensional missing data estimator. | Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala |
| 2016 | SMC | Hybrid optimization algorithm to the problem of Distributed Generation power losses. | Ahmed Ali, Ilyes Boulkaibet, Bhekisipho Twala, Tshilidzi Marwala |
| 2015 | ICCCI | Measuring the Impact of Imputation in Financial Fraud. | Stephen O. Moepya, Sharat S. Akhoury, Fulufhelo V. Nelwamondo, Bhekisipho Twala |
| 2014 | IJCNN | Moving towards accurate monitoring and prediction of gold mine underground dam levels. | Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala |
| 2014 | IJCNN | Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems. | Lufuno Marwala, Bhekisipho Twala |
| 2014 | SMC | Modeling of missing data prediction: Computational intelligence and optimization algorithms. | Collins Leke, Bhekisipho Twala, Tshilidzi Marwala |
| 2014 | SMC | Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company. | Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala |
| 2013 | IJCNN | Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization. | Innocent Sizo Duma, Bhekisipho Twala, Tshilidzi Marwala |
| 2013 | SMC | Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems. | Lufuno Marwala, Bhekisipho Twala |
| 2012 | CEC | Classification with missing data using multi-layered artificial immune systems. | Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo |
| 2011 | ICINCO | Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection. | Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo |
| 2011 | IJCCI | Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. | Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo |
| 2007 | ESEM | Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. | Gernot Armin Liebchen, Bhekisipho Twala, Martin J. Shepperd, Michelle Cartwright, Mark Stephens |
| 2006 | ICSE | Ensemble of missing data techniques to improve software prediction accuracy. | Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd |