Comparison of various methods for handling incomplete data in software engineering databases. - Bhekisipho Twala; Michelle Cartwright; Martin J. Shepperd (ISESE, 2005)

Ensemble Imputation Methods for Missing Software Engineering Data. - Bhekisipho Twala; Michelle Cartwright (IEEE METRICS, 2005)

Effective techniques for handling incomplete data using decision trees. - Bhekisipho Twala (2005)

Assessing the Quality and Cleaning of a Software Project Data Set: An Experience Report. - Gernot Armin Liebchen; Martin J. Shepperd; Bheki Twala; Michelle Cartwright (EASE, 2006)

Ensemble of missing data techniques to improve software prediction accuracy. - Bhekisipho Twala; Michelle Cartwright; Martin J. Shepperd (ICSE, 2006)

Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. - Gernot Armin Liebchen; Bhekisipho Twala; Martin J. Shepperd; Michelle Cartwright; Mark Stephens (ESEM, 2007)

Good methods for coping with missing data in decision trees. - Bhekisipho Twala; M. C. Jones; David J. Hand (Pattern Recognit. Lett., 2008)

Robot execution failure prediction using incomplete data. - Bhekisipho Twala (ROBIO, 2009)

An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees. - Bhekisipho Twala (Appl. Artif. Intell., 2009)

Multiple classifier application to credit risk assessment. - Bhekisipho Twala (Expert Syst. Appl., 2010)

Ensemble missing data techniques for software effort prediction. - Bhekisipho Twala; Michelle Cartwright (Intell. Data Anal., 2010)

Predicting incomplete gene microarray data with the use of supervised learning algorithms. - Bhekisipho Twala; Motee Phorah (Pattern Recognit. Lett., 2010)

Optimization of the compressed air-usage in South African mines. - Ali Hassan; Khmaies Ouahada; Tshilidzi Marwala; Bhekisipho Twala (AFRICON, 2011)

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 (ICINCO (1), 2011)

Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. - Mlungisi Duma; Bhekisipho Twala; Tshilidzi Marwala; Fulufhelo V. Nelwamondo (IJCCI (NCTA), 2011)

Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection - Mlungisi Duma; Bhekisipho Twala; Tshilidzi Marwala (CoRR, 2011)

Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis. - Satyakama Paul; Bhekisipho Twala; Tshilidzi Marwala (CoRR, 2011)

Corrigendum to "Multiple classifier application to credit risk assessment" [Expert Systems with Applications 37 (4) (2010) 3326-3336]. - Bhekisipho Twala (Expert Syst. Appl., 2011)

Classification with missing data using multi-layered artificial immune systems. - Mlungisi Duma; Bhekisipho Twala; Tshilidzi Marwala; Fulufhelo Vincent Nelwamondo (IEEE Congress on Evolutionary Computation, 2012)

Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study. - Mlungisi Duma; Bhekisipho Twala; Fulufhelo V. Nelwamondo; Tshilidzi Marwala (Appl. Artif. Intell., 2012)

Target tracking using multiple classifier systems and statistical process control. - Motena Mapesela; Bhekisipho Twala (AFRICON, 2013)

Ensemble multisensor data using state-of-the-art classification methods. - Bhekisipho Twala; Fisseha Mekuria (AFRICON, 2013)

Predicting mine dam levels and energy consumption using artificial intelligence methods. - Ali N. Hasan; Bhekisipho Twala; Tshilidzi Marwala (CIES, 2013)

Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization. - Innocent Sizo Duma; Bhekisipho Twala; Tshilidzi Marwala (IJCNN, 2013)

Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems. - Lufuno Marwala; Bhekisipho Twala (SMC, 2013)

Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm. - Mlungisi Duma; Tshilidzi Marwala; Bhekisipho Twala; Fulufhelo V. Nelwamondo (Appl. Soft Comput., 2013)

Impact of noise on credit risk prediction: Does data quality really matter? - Bhekisipho Twala (Intell. Data Anal., 2013)

Underground water dam levels and energy consumption prediction using computational intelligence techniques. - Ali N. Hasan; Bhekisipho Twala; Tshilidzi Marwala (CIVEMSA, 2014)

Moving towards accurate monitoring and prediction of gold mine underground dam levels. - Ali N. Hasan; Bhekisipho Twala; Tshilidzi Marwala (IJCNN, 2014)

Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems. - Lufuno Marwala; Bhekisipho Twala (IJCNN, 2014)

Modeling of missing data prediction: Computational intelligence and optimization algorithms. - Collins Leke; Bhekisipho Twala; Tshilidzi Marwala (SMC, 2014)

Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company. - Satyakama Paul; Bhekisipho Twala; Tshilidzi Marwala (SMC, 2014)

Reasoning with Noisy Software Effort Data. - Bhekisipho Twala (Appl. Artif. Intell., 2014)

Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms. - Collins Leke; Bhekisipho Twala; Tshilidzi Marwala (CoRR, 2014)

Extracting grey relational systems from incomplete road traffic accidents data: the case of Gauteng Province in South Africa. - Bhekisipho Twala (Expert Syst. J. Knowl. Eng., 2014)

Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques. - Ali N. Hasan; Bhekisipho Twala (EUROCON, 2015)

Measuring the Impact of Imputation in Financial Fraud. - Stephen O. Moepya; Sharat S. Akhoury; Fulufhelo V. Nelwamondo; Bhekisipho Twala (ICCCI (2), 2015)

Reverse engineering smart card malware using side channel analysis with machine learning techniques. - Hippolyte Djonon Tsague; Bheki Twala (IEEE BigData, 2016)

A Framework for Creating Realistic Synthetic Fluorescence Microscopy Image Sequences. - Matsilele Mabaso; Daniel Withey; Bhekisipho Twala (BIOIMAGING, 2016)

Unsupervised learning for robust Bitcoin fraud detection. - Patrick Monamo; Vukosi Marivate; Bheki Twala (ISSA, 2016)

A Robust Machine Learning Approach to Microprocessor Instructions Identification. - Hippolyte Djonon Tsague; Bheki Twala (MICAI (2), 2016)

Hybrid optimization algorithm to the problem of Distributed Generation power losses. - Ahmed Ali 007; Ilyes Boulkaibet; Bhekisipho Twala; Tshilidzi Marwala (SMC, 2016)

An Empirical Evaluation of Machine Learning Algorithms for Image Classification. - Thembinkosi Nkonyana; Bhekisipho Twala (ICSI (2), 2016)

Investigation of carrier Mobility degradation effects on MOSFET Leakage simulations. - Hippolyte Djonon Tsague; Bhekisipho Twala (Int. J. Comput., 2016)

Toward Accurate Software Effort Prediction Using Multiple Classifier Systems. - Bhekisipho Twala; June M. Verner (Computational Intelligence and Quantitative Software Engineering, 2016)

Increasing the Detection of Minority Class Instances in Financial Statement Fraud. - Stephen Obakeng Moepya; Fulufhelo V. Nelwamondo; Bhekisipho Twala (ACIIDS (2), 2017)

Optimal placement model of multi-type FACTS devices in power system networks on a limited budget. - Esrom Mahlatsi Malatji; Bhekisipho Twala; Nhlanhla Mbuli (AFRICON, 2017)

An access optimization approach for FFH-OCDMA system's fiber Bragg gratings encoder. - Samuel Nlend; Theo G. Swart; Bhekisipho Twala (AFRICON, 2017)

QoS functionality in software defined network. - Adebayo Oluwaseun Adedayo; Bhekisipho Twala (ICTC, 2017)

Investigation into effects of a novel rotor cut-off design for synchronous reluctance machines. - Wesley Doorsamy; Mbika Muteba; Bhekisipho Twala; Dan Valentin Nicolae (ISIE, 2017)

Deep learning-bat high-dimensional missing data estimator. - Collins Leke; Alain Richard Ndjiongue; Bhekisipho Twala; Tshilidzi Marwala (SMC, 2017)

A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets. - Collins Leke; Alain Richard Ndjiongue; Bhekisipho Twala; Tshilidzi Marwala (ICSI (1), 2017)

An electromagnetic approach to smart card instruction identification using machine learning techniques. - Hippolyte Djonon Tsague; Bheki Twala (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

When Partly Missing Data Matters in Software Effort Development Prediction. - Bhekisipho Twala (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Spot Detection in Microscopy Images using Convolutional Neural Network with Sliding-Window Approach. - Matsilele Mabaso; Daniel Withey; Bhekisipho Twala (BIOIMAGING, 2018)

A Convolutional Neural Network for Spot Detection in Microscopy Images. - Matsilele Mabaso; Daniel Withey; Bhekisipho Twala (BIOSTEC (Selected Papers), 2018)

Optimising latent features using artificial immune system in collaborative filtering for recommender systems. - Mlungisi Duma; Bhekisipho Twala (Appl. Soft Comput., 2018)

Modeling the Student Success or Failure in Engineering at VUT Using the Date Band Algorithm. - Hendrick Musawenkosi Langa; Bhekisipho Twala (Res. Comput. Sci., 2018)

Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms. - Mlungisi Duma; Bhekisipho Twala (Expert Syst. Appl., 2019)

Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks. - Sibonelo Motepe; Ali N. Hasan; Bhekisipho Twala; Riaan Stopforth (J. Intell. Fuzzy Syst., 2019)

Classifying Incomplete Vectors using Decision Trees. - Bhekisipho Twala; Raj Pillay; Ramapulana Nkoana (IJCCI, 2020)

Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review. - Sibusiso Reuben Bakana; Yongfei Zhang; Bhekisipho Twala (IPMV, 2020)

Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection. - Eustace Manayi Dogo; Nnamdi I. Nwulu; Bhekisipho Twala; Clinton Ohis Aigbavboa (IEEE Access, 2020)

Multivariate Short Term Load Forecasting Strategy: Application to Anomalous Days of ISO New England Data. - Innocent Sizo Duma; Bhekisipho Twala (IJCCI, 2021)

Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection. - Eustace Manayi Dogo; Nnamdi I. Nwulu; Bhekisipho Twala; Clinton Aigbavboa (Symmetry, 2021)

Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm. - Gokul Chandrasekaran; Neelam Sanjeev Kumar; Karthikeyan Panjappagounder Rajamanickam; Vanchinathan Kumarasamy; Neeraj Priyadarshi; Bhekisipho Twala (IEEE Access, 2022)

On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers. - Bhekisipho Twala; Eamon Molloy (CoRR, 2022)

Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. - Peter O. Olukanmi; Fulufhelo V. Nelwamondo; Tshilidzi Marwala; Bhekisipho Twala (Neural Comput. Appl., 2022)

Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability. - Rajesh Singh 001; Shaik Vaseem Akram; Anita Gehlot; Dharam Buddhi; Neeraj Priyadarshi; Bhekisipho Twala (Sensors, 2022)

Distributed Optimal Placement Generators in a Medium Voltage Redial Feeder. - Teddy Lekhuleni; Bhekisipho Twala (Symmetry, 2022)

WildPose: HRNet-based Lightweight and Efficient Wildlife Pose Estimation. - Sibusiso Reuben Bakana; Yongfei Zhang; Bhekisipho Twala (APSIPA, 2024)

Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence. - Ashish Singh Chauhan; Rajesh Singh 001; Neeraj Priyadarshi; Bhekisipho Twala; Surindra Suthar; Siddharth Swami (Discov. Artif. Intell., 2024)

WildARe-YOLO: A lightweight and efficient wild animal recognition model. - Sibusiso Reuben Bakana; Yongfei Zhang; Bhekisipho Twala (Ecol. Informatics, 2024)

Use of IoT sensor devices for efficient management of healthcare systems: a review. - G. Gopichand; T. Sarath; Ankur Dumka; Himanshu Rai Goyal; Rajesh Singh 001; Anita Gehlot; Lovi Raj Gupta; Amit Kumar Thakur; Neeraj Priyadarshi; Bhekisipho Twala (Discov. Internet Things, 2024)

Control parameter optimisation using the evidence framework for the ant colony optimisation algorithm. - Mlungisi Duma; Bhekisipho Twala; Tshilidzi Marwala (Inf. Sci., 2025)

Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization. - Sumet Mehta; Fei Han 001; Muhammad Sohail 001; Bhekisipho Twala; Asad Ullah; Fasee Ullah; Arfat Ahmad Khan; Qinghua Ling (PeerJ Comput. Sci., 2025)