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ORCIDBhekisipho Twala
Bheki Twala
Person information
- affiliation: University of South Africa, Johannesburg, South Africa
- affiliation (2013 - 2017): University of Johannesburg, South Africa
- affiliation (2008 - 2009): Council for Scientific and Industrial Research, Pretoria, South Africa
- affiliation (2005 - 2007): Brunel University, Uxbridge, UK
- affiliation (PhD 2005): Open University, Milton Keynes, UK
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2020 – today
- 2024
[j26]Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala, Surindra Suthar, Siddharth Swami
:
Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence. Discov. Artif. Intell. 4(1): 58 (2024)- [j25]G. Gopichand, T. Sarath, Ankur Dumka, Himanshu Rai Goyal, Rajesh Singh, Anita Gehlot, Lovi Raj Gupta, Amit Kumar Thakur, Neeraj Priyadarshi, Bhekisipho Twala:
Use of IoT sensor devices for efficient management of healthcare systems: a review. Discov. Internet Things 4(1): 8 (2024) - [j24]Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala:
WildARe-YOLO: A lightweight and efficient wild animal recognition model. Ecol. Informatics 80: 102541 (2024) - 2022
- [j23]Gokul Chandrasekaran, Neelam Sanjeev Kumar, Karthikeyan Panjappagounder Rajamanickam, Vanchinathan Kumarasamy, Neeraj Priyadarshi, Bhekisipho Twala:
Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm. IEEE Access 10: 126199-126216 (2022) - [j22]Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala, Bhekisipho Twala:
Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. Neural Comput. Appl. 34(8): 5939-5958 (2022) - [j21]Rajesh Singh, Shaik Vaseem Akram, Anita Gehlot, Dharam Buddhi, Neeraj Priyadarshi, Bhekisipho Twala:
Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability. Sensors 22(17): 6619 (2022) - [j20]Teddy Lekhuleni, Bhekisipho Twala:
Distributed Optimal Placement Generators in a Medium Voltage Redial Feeder. Symmetry 14(8): 1729 (2022) - [i4]Bhekisipho Twala, Eamon Molloy:
On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers. CoRR abs/2209.02395 (2022) - 2021
- [j19]Eustace Manayi Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Aigbavboa:
Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection. Symmetry 13(5): 818 (2021) - [c41]Innocent Sizo Duma, Bhekisipho Twala:
Multivariate Short Term Load Forecasting Strategy: Application to Anomalous Days of ISO New England Data. IJCCI 2021: 293-301 - 2020
- [j18]Eustace Manayi Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Ohis Aigbavboa:
Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection. IEEE Access 8: 218015-218036 (2020) - [c40]Bhekisipho Twala, Raj Pillay, Ramapulana Nkoana:
Classifying Incomplete Vectors using Decision Trees. IJCCI 2020: 455-463 - [c39]Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala:
Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review. IPMV 2020: 158-172
2010 – 2019
- 2019
- [j17]Mlungisi Duma, Bhekisipho Twala:
Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms. Expert Syst. Appl. 132: 110-125 (2019) - [j16]Sibonelo Motepe, Ali N. Hasan, Bhekisipho Twala, Riaan Stopforth:
Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks. J. Intell. Fuzzy Syst. 37(6): 8219-8235 (2019) - 2018
- [j15]Mlungisi Duma, Bhekisipho Twala:
Optimising latent features using artificial immune system in collaborative filtering for recommender systems. Appl. Soft Comput. 71: 183-198 (2018) - [j14]Hendrick Musawenkosi Langa, Bhekisipho Twala:
Modeling the Student Success or Failure in Engineering at VUT Using the Date Band Algorithm. Res. Comput. Sci. 147(4): 37-47 (2018) - [c38]Matsilele Mabaso, Daniel Withey, Bhekisipho Twala:
Spot Detection in Microscopy Images using Convolutional Neural Network with Sliding-Window Approach. BIOIMAGING 2018: 67-74 - [c37]Matsilele Mabaso, Daniel Withey, Bhekisipho Twala:
A Convolutional Neural Network for Spot Detection in Microscopy Images. BIOSTEC (Selected Papers) 2018: 132-145 - 2017
- [j13]Bhekisipho Twala:
When Partly Missing Data Matters in Software Effort Development Prediction. J. Adv. Comput. Intell. Intell. Informatics 21(5): 803-812 (2017) - [c36]Stephen Obakeng Moepya, Fulufhelo V. Nelwamondo, Bhekisipho Twala:
Increasing the Detection of Minority Class Instances in Financial Statement Fraud. ACIIDS (2) 2017: 33-43 - [c35]Samuel Nlend, Theo G. Swart, Bhekisipho Twala:
An access optimization approach for FFH-OCDMA system's fiber Bragg gratings encoder. AFRICON 2017: 348-353 - [c34]Esrom Mahlatsi Malatji, Bhekisipho Twala, Nhlanhla Mbuli:
Optimal placement model of multi-type FACTS devices in power system networks on a limited budget. AFRICON 2017: 1296-1300 - [c33]Adebayo Oluwaseun Adedayo, Bhekisipho Twala:
QoS functionality in software defined network. ICTC 2017: 693-699 - [c32]Wesley Doorsamy, Mbika Muteba, Bhekisipho Twala, Dan Valentin Nicolae:
Investigation into effects of a novel rotor cut-off design for synchronous reluctance machines. ISIE 2017: 315-320 - [c31]Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala:
Deep learning-bat high-dimensional missing data estimator. SMC 2017: 483-488 - [c30]Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala:
A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets. ICSI (1) 2017: 561-572 - [c29]Hippolyte Djonon Tsague, Bheki Twala:
An electromagnetic approach to smart card instruction identification using machine learning techniques. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - 2016
- [j12]Hippolyte Djonon Tsague, Bhekisipho Twala:
Investigation of carrier Mobility degradation effects on MOSFET Leakage simulations. Int. J. Comput. 15: 237-247 (2016) - [c28]Hippolyte Djonon Tsague, Bheki Twala:
Reverse engineering smart card malware using side channel analysis with machine learning techniques. IEEE BigData 2016: 3713-3721 - [c27]Matsilele Mabaso, Daniel Withey, Bhekisipho Twala:
A Framework for Creating Realistic Synthetic Fluorescence Microscopy Image Sequences. BIOIMAGING 2016: 85-92 - [c26]Patrick Monamo, Vukosi Marivate, Bheki Twala:
Unsupervised learning for robust Bitcoin fraud detection. ISSA 2016: 129-134 - [c25]Hippolyte Djonon Tsague, Bheki Twala:
A Robust Machine Learning Approach to Microprocessor Instructions Identification. MICAI (2) 2016: 248-258 - [c24]Ahmed Ali, Ilyes Boulkaibet, Bhekisipho Twala, Tshilidzi Marwala:
Hybrid optimization algorithm to the problem of Distributed Generation power losses. SMC 2016: 1719-1724 - [c23]Thembinkosi Nkonyana, Bhekisipho Twala:
An Empirical Evaluation of Machine Learning Algorithms for Image Classification. ICSI (2) 2016: 79-88 - [p1]Bhekisipho Twala, June M. Verner:
Toward Accurate Software Effort Prediction Using Multiple Classifier Systems. Computational Intelligence and Quantitative Software Engineering 2016: 135-151 - 2015
- [c22]Ali N. Hasan, Bhekisipho Twala:
Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques. EUROCON 2015: 1-7 - [c21]Stephen O. Moepya, Sharat S. Akhoury, Fulufhelo V. Nelwamondo, Bhekisipho Twala:
Measuring the Impact of Imputation in Financial Fraud. ICCCI (2) 2015: 533-543 - 2014
- [j11]Bhekisipho Twala:
Reasoning with Noisy Software Effort Data. Appl. Artif. Intell. 28(6): 533-554 (2014) - [j10]Bhekisipho Twala:
Extracting grey relational systems from incomplete road traffic accidents data: the case of Gauteng Province in South Africa. Expert Syst. J. Knowl. Eng. 31(3): 220-231 (2014) - [c20]Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala:
Underground water dam levels and energy consumption prediction using computational intelligence techniques. CIVEMSA 2014: 94-99 - [c19]Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala:
Moving towards accurate monitoring and prediction of gold mine underground dam levels. IJCNN 2014: 2844-2849 - [c18]Lufuno Marwala, Bhekisipho Twala:
Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems. IJCNN 2014: 3049-3055 - [c17]Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala:
Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company. SMC 2014: 900-905 - [c16]Collins Leke, Bhekisipho Twala, Tshilidzi Marwala:
Modeling of missing data prediction: Computational intelligence and optimization algorithms. SMC 2014: 1400-1404 - [i3]Collins Leke, Bhekisipho Twala, Tshilidzi Marwala:
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms. CoRR abs/1403.5488 (2014) - 2013
- [j9]Mlungisi Duma, Tshilidzi Marwala, Bhekisipho Twala, Fulufhelo V. Nelwamondo:
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm. Appl. Soft Comput. 13(12): 4461-4480 (2013) - [j8]Bhekisipho Twala:
Impact of noise on credit risk prediction: Does data quality really matter? Intell. Data Anal. 17(6): 1115-1134 (2013) - [c15]Motena Mapesela, Bhekisipho Twala:
Target tracking using multiple classifier systems and statistical process control. AFRICON 2013: 1-6 - [c14]Bhekisipho Twala, Fisseha Mekuria:
Ensemble multisensor data using state-of-the-art classification methods. AFRICON 2013: 1-6 - [c13]Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala:
Predicting mine dam levels and energy consumption using artificial intelligence methods. CIES 2013: 171-175 - [c12]Innocent Sizo Duma, Bhekisipho Twala, Tshilidzi Marwala:
Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization. IJCNN 2013: 1-10 - [c11]Lufuno Marwala, Bhekisipho Twala:
Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems. SMC 2013: 2238-2243 - 2012
- [j7]Mlungisi Duma, Bhekisipho Twala, Fulufhelo V. Nelwamondo, Tshilidzi Marwala:
Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study. Appl. Artif. Intell. 26(10): 967-984 (2012) - [c10]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo:
Classification with missing data using multi-layered artificial immune systems. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j6]Bhekisipho Twala:
Corrigendum to "Multiple classifier application to credit risk assessment" [Expert Systems with Applications 37 (4) (2010) 3326-3336]. Expert Syst. Appl. 38(6): 7909 (2011) - [c9]Ali Hassan, Khmaies Ouahada, Tshilidzi Marwala, Bhekisipho Twala:
Optimization of the compressed air-usage in South African mines. AFRICON 2011: 1-6 - [c8]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection. ICINCO (1) 2011: 203-210 - [c7]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo:
Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. IJCCI (NCTA) 2011: 340-346 - [i2]Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala:
Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection. CoRR abs/1108.4551 (2011) - [i1]Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala:
Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis. CoRR abs/1110.4296 (2011) - 2010
- [j5]Bhekisipho Twala:
Multiple classifier application to credit risk assessment. Expert Syst. Appl. 37(4): 3326-3336 (2010) - [j4]Bhekisipho Twala, Michelle Cartwright:
Ensemble missing data techniques for software effort prediction. Intell. Data Anal. 14(3): 299-331 (2010) - [j3]Bhekisipho Twala, Motee Phorah:
Predicting incomplete gene microarray data with the use of supervised learning algorithms. Pattern Recognit. Lett. 31(13): 2061-2069 (2010)
2000 – 2009
- 2009
- [j2]Bhekisipho Twala:
An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees. Appl. Artif. Intell. 23(5): 373-405 (2009) - [c6]Bhekisipho Twala:
Robot execution failure prediction using incomplete data. ROBIO 2009: 1518-1523 - 2008
- [j1]Bhekisipho Twala, M. C. Jones, David J. Hand:
Good methods for coping with missing data in decision trees. Pattern Recognit. Lett. 29(7): 950-956 (2008) - 2007
- [c5]Gernot Armin Liebchen, Bhekisipho Twala, Martin J. Shepperd, Michelle Cartwright, Mark Stephens:
Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. ESEM 2007: 99-106 - 2006
- [c4]Gernot Armin Liebchen, Martin J. Shepperd, Bheki Twala, Michelle Cartwright:
Assessing the Quality and Cleaning of a Software Project Data Set: An Experience Report. EASE 2006 - [c3]Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd:
Ensemble of missing data techniques to improve software prediction accuracy. ICSE 2006: 909-912 - 2005
- [b1]Bhekisipho Twala:
Effective techniques for handling incomplete data using decision trees. Open University, Milton Keynes, UK, 2005 - [c2]Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd:
Comparison of various methods for handling incomplete data in software engineering databases. ISESE 2005: 105-114 - [c1]Bhekisipho Twala, Michelle Cartwright:
Ensemble Imputation Methods for Missing Software Engineering Data. IEEE METRICS 2005: 30
Coauthor Index
Fulufhelo V. Nelwamondo
aka: Fulufhelo Vincent Nelwamondo
aka: Fulufhelo Vincent Nelwamondo
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