Bhekisipho Twala

Orcid: 0000-0002-3452-9581

Affiliations:
  • University of South Africa, Johannesburg, South Africa
  • University of Johannesburg, South Africa (2013 - 2017)
  • Council for Scientific and Industrial Research, Pretoria, South Africa (2008 - 2009)
  • Brunel University, Uxbridge, UK (2005 - 2007)
  • Open University, Milton Keynes, UK (PhD 2005)


According to our database1, Bhekisipho Twala authored at least 74 papers between 2005 and 2025.

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

Timeline

Legend:

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Bibliography

2025
Control parameter optimisation using the evidence framework for the ant colony optimisation algorithm.
Inf. Sci., 2025

2024
Use of IoT sensor devices for efficient management of healthcare systems: a review.
Discov. Internet Things, December, 2024

WildARe-YOLO: A lightweight and efficient wild animal recognition model.
Ecol. Informatics, 2024

Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence.
Discov. Artif. Intell., 2024

2022
Distributed Optimal Placement Generators in a Medium Voltage Redial Feeder.
Symmetry, 2022

Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability.
Sensors, 2022

Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities.
Neural Comput. Appl., 2022

On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers.
CoRR, 2022

Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm.
IEEE Access, 2022

2021
Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection.
Symmetry, 2021

Multivariate Short Term Load Forecasting Strategy: Application to Anomalous Days of ISO New England Data.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

2020
Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection.
IEEE Access, 2020

Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review.
Proceedings of the IPMV 2020: 2nd International Conference on Image Processing and Machine Vision, 2020

Classifying Incomplete Vectors using Decision Trees.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2019
Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks.
J. Intell. Fuzzy Syst., 2019

Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms.
Expert Syst. Appl., 2019

2018
Modeling the Student Success or Failure in Engineering at VUT Using the Date Band Algorithm.
Res. Comput. Sci., 2018

Optimising latent features using artificial immune system in collaborative filtering for recommender systems.
Appl. Soft Comput., 2018

A Convolutional Neural Network for Spot Detection in Microscopy Images.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018

Spot Detection in Microscopy Images using Convolutional Neural Network with Sliding-Window Approach.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017
When Partly Missing Data Matters in Software Effort Development Prediction.
J. Adv. Comput. Intell. Intell. Informatics, 2017

An electromagnetic approach to smart card instruction identification using machine learning techniques.
Proceedings of the 2017 IEEE SmartWorld, 2017

A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Deep learning-bat high-dimensional missing data estimator.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Investigation into effects of a novel rotor cut-off design for synchronous reluctance machines.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

QoS functionality in software defined network.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017

An access optimization approach for FFH-OCDMA system's fiber Bragg gratings encoder.
Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017

Optimal placement model of multi-type FACTS devices in power system networks on a limited budget.
Proceedings of the IEEE AFRICON 2017, Cape Town, South Africa, September 18-20, 2017, 2017

Increasing the Detection of Minority Class Instances in Financial Statement Fraud.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016
Toward Accurate Software Effort Prediction Using Multiple Classifier Systems.
Proceedings of the Computational Intelligence and Quantitative Software Engineering, 2016

Investigation of carrier Mobility degradation effects on MOSFET Leakage simulations.
Int. J. Comput., 2016

An Empirical Evaluation of Machine Learning Algorithms for Image Classification.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Hybrid optimization algorithm to the problem of Distributed Generation power losses.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Robust Machine Learning Approach to Microprocessor Instructions Identification.
Proceedings of the Advances in Soft Computing, 2016

Unsupervised learning for robust Bitcoin fraud detection.
Proceedings of the 2016 Information Security for South Africa, 2016

A Framework for Creating Realistic Synthetic Fluorescence Microscopy Image Sequences.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

Reverse engineering smart card malware using side channel analysis with machine learning techniques.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Measuring the Impact of Imputation in Financial Fraud.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques.
Proceedings of the IEEE EUROCON 2015, 2015

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

Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms.
CoRR, 2014

Reasoning with Noisy Software Effort Data.
Appl. Artif. Intell., 2014

Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Modeling of missing data prediction: Computational intelligence and optimization algorithms.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Moving towards accurate monitoring and prediction of gold mine underground dam levels.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Underground water dam levels and energy consumption prediction using computational intelligence techniques.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2014

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

Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm.
Appl. Soft Comput., 2013

Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems.
Proceedings of the IEEE International Conference on Systems, 2013

Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Predicting mine dam levels and energy consumption using artificial intelligence methods.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

Ensemble multisensor data using state-of-the-art classification methods.
Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

Target tracking using multiple classifier systems and statistical process control.
Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

2012
Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study.
Appl. Artif. Intell., 2012

Classification with missing data using multi-layered artificial immune systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

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

Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis.
CoRR, 2011

Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection
CoRR, 2011

Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study.
Proceedings of the NCTA 2011, 2011

Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection.
Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Noordwijkerhout, The Netherlands, 28, 2011

Optimization of the compressed air-usage in South African mines.
Proceedings of the AFRICON 2011, 2011

2010
Predicting incomplete gene microarray data with the use of supervised learning algorithms.
Pattern Recognit. Lett., 2010

Ensemble missing data techniques for software effort prediction.
Intell. Data Anal., 2010

Multiple classifier application to credit risk assessment.
Expert Syst. Appl., 2010

2009
An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees.
Appl. Artif. Intell., 2009

Robot execution failure prediction using incomplete data.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

2008
Good methods for coping with missing data in decision trees.
Pattern Recognit. Lett., 2008

2007
Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data.
Proceedings of the First International Symposium on Empirical Software Engineering and Measurement, 2007

2006
Ensemble of missing data techniques to improve software prediction accuracy.
Proceedings of the 28th International Conference on Software Engineering (ICSE 2006), 2006

Assessing the Quality and Cleaning of a Software Project Data Set: An Experience Report.
Proceedings of the 10th International Conference on Evaluation and Assessment in Software Engineering, 2006

2005
Effective techniques for handling incomplete data using decision trees.
PhD thesis, 2005

Ensemble Imputation Methods for Missing Software Engineering Data.
Proceedings of the 11th IEEE International Symposium on Software Metrics (METRICS 2005), 2005

Comparison of various methods for handling incomplete data in software engineering databases.
Proceedings of the 2005 International Symposium on Empirical Software Engineering (ISESE 2005), 2005


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