Bhekisipho Twala

71 papers A* 1A 1B 9C 2Journal 32Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Control parameter optimisation using the evidence framework for the ant colony optimisation algorithm. Inf. Sci. Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala
2025	J	`jnl`	Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization. PeerJ Comput. Sci. Sumet Mehta, Fei Han, Muhammad Sohail, Bhekisipho Twala, Asad Ullah, Fasee Ullah, Arfat Ahmad Khan, Qinghua Ling
2024	J	`jnl`	Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence. Discov. Artif. Intell. Ashish Singh Chauhan, Rajesh Singh, Neeraj Priyadarshi, Bhekisipho Twala, Surindra Suthar, Siddharth Swami
2024	J	`jnl`	Use of IoT sensor devices for efficient management of healthcare systems: a review. Discov. Internet Things G. Gopichand, T. Sarath, Ankur Dumka, Himanshu Rai Goyal, Rajesh Singh, Anita Gehlot, Lovi Raj Gupta, Amit Kumar Thakur, Neeraj Priyadarshi, Bhekisipho Twala
2024	J	`jnl`	WildARe-YOLO: A lightweight and efficient wild animal recognition model. Ecol. Informatics Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
2024	—	`conf`	WildPose: HRNet-based Lightweight and Efficient Wildlife Pose Estimation. APSIPA Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
2022	J	`jnl`	Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. Neural Comput. Appl. Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala, Bhekisipho Twala
2022	J	`jnl`	Distributed Optimal Placement Generators in a Medium Voltage Redial Feeder. Symmetry Teddy Lekhuleni, Bhekisipho Twala
2022	J	`jnl`	Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability. Sensors Rajesh Singh, Shaik Vaseem Akram, Anita Gehlot, Dharam Buddhi, Neeraj Priyadarshi, Bhekisipho Twala
2022	J	`jnl`	On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers. CoRR Bhekisipho Twala, Eamon Molloy
2022	J	`jnl`	Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm. IEEE Access Gokul Chandrasekaran, Neelam Sanjeev Kumar, Karthikeyan Panjappagounder Rajamanickam, Vanchinathan Kumarasamy, Neeraj Priyadarshi, Bhekisipho Twala
2021	J	`jnl`	Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection. Symmetry Eustace Manayi Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Aigbavboa
2021	C	`conf`	Multivariate Short Term Load Forecasting Strategy: Application to Anomalous Days of ISO New England Data. IJCCI Innocent Sizo Duma, Bhekisipho Twala
2020	C	`conf`	Classifying Incomplete Vectors using Decision Trees. IJCCI Bhekisipho Twala, Raj Pillay, Ramapulana Nkoana
2020	J	`jnl`	Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection. IEEE Access Eustace Manayi Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Ohis Aigbavboa
2020	—	`conf`	Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review. IPMV Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
2019	J	`jnl`	Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks. J. Intell. Fuzzy Syst. Sibonelo Motepe, Ali N. Hasan, Bhekisipho Twala, Riaan Stopforth
2019	J	`jnl`	Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms. Expert Syst. Appl. Mlungisi Duma, Bhekisipho Twala
2018	—	`conf`	A Convolutional Neural Network for Spot Detection in Microscopy Images. BIOSTEC (Selected Papers) Matsilele Mabaso, Daniel Withey, Bhekisipho Twala
2018	J	`jnl`	Modeling the Student Success or Failure in Engineering at VUT Using the Date Band Algorithm. Res. Comput. Sci. Hendrick Musawenkosi Langa, Bhekisipho Twala
2018	J	`jnl`	Optimising latent features using artificial immune system in collaborative filtering for recommender systems. Appl. Soft Comput. Mlungisi Duma, Bhekisipho Twala
2018	—	`conf`	Spot Detection in Microscopy Images using Convolutional Neural Network with Sliding-Window Approach. BIOIMAGING Matsilele Mabaso, Daniel Withey, Bhekisipho Twala
2017	—	`conf`	A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets. ICSI (1) Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala
2017	—	`conf`	An access optimization approach for FFH-OCDMA system's fiber Bragg gratings encoder. AFRICON Samuel Nlend, Theo G. Swart, Bhekisipho Twala
2017	B	`conf`	Deep learning-bat high-dimensional missing data estimator. SMC Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala
2017	—	`conf`	Increasing the Detection of Minority Class Instances in Financial Statement Fraud. ACIIDS (2) Stephen Obakeng Moepya, Fulufhelo V. Nelwamondo, Bhekisipho Twala
2017	—	`conf`	Investigation into effects of a novel rotor cut-off design for synchronous reluctance machines. ISIE Wesley Doorsamy, Mbika Muteba, Bhekisipho Twala, Dan Valentin Nicolae
2017	—	`conf`	Optimal placement model of multi-type FACTS devices in power system networks on a limited budget. AFRICON Esrom Mahlatsi Malatji, Bhekisipho Twala, Nhlanhla Mbuli
2017	—	`conf`	QoS functionality in software defined network. ICTC Adebayo Oluwaseun Adedayo, Bhekisipho Twala
2017	J	`jnl`	When Partly Missing Data Matters in Software Effort Development Prediction. J. Adv. Comput. Intell. Intell. Informatics Bhekisipho Twala
2016	—	`conf`	A Framework for Creating Realistic Synthetic Fluorescence Microscopy Image Sequences. BIOIMAGING Matsilele Mabaso, Daniel Withey, Bhekisipho Twala
2016	—	`conf`	An Empirical Evaluation of Machine Learning Algorithms for Image Classification. ICSI (2) Thembinkosi Nkonyana, Bhekisipho Twala
2016	B	`conf`	Hybrid optimization algorithm to the problem of Distributed Generation power losses. SMC Ahmed Ali, Ilyes Boulkaibet, Bhekisipho Twala, Tshilidzi Marwala
2016	J	`jnl`	Investigation of carrier Mobility degradation effects on MOSFET Leakage simulations. Int. J. Comput. Hippolyte Djonon Tsague, Bhekisipho Twala
2016	—	`ch.`	Toward Accurate Software Effort Prediction Using Multiple Classifier Systems. Computational Intelligence and Quantitative Software Engineering Bhekisipho Twala, June M. Verner
2015	—	`conf`	Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques. EUROCON Ali N. Hasan, Bhekisipho Twala
2015	—	`conf`	Measuring the Impact of Imputation in Financial Fraud. ICCCI (2) Stephen O. Moepya, Sharat S. Akhoury, Fulufhelo V. Nelwamondo, Bhekisipho Twala
2014	J	`jnl`	Extracting grey relational systems from incomplete road traffic accidents data: the case of Gauteng Province in South Africa. Expert Syst. J. Knowl. Eng. Bhekisipho Twala
2014	B	`conf`	Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems. IJCNN Lufuno Marwala, Bhekisipho Twala
2014	J	`jnl`	Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms. CoRR Collins Leke, Bhekisipho Twala, Tshilidzi Marwala
2014	B	`conf`	Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company. SMC Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala
2014	B	`conf`	Modeling of missing data prediction: Computational intelligence and optimization algorithms. SMC Collins Leke, Bhekisipho Twala, Tshilidzi Marwala
2014	B	`conf`	Moving towards accurate monitoring and prediction of gold mine underground dam levels. IJCNN Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
2014	J	`jnl`	Reasoning with Noisy Software Effort Data. Appl. Artif. Intell. Bhekisipho Twala
2014	—	`conf`	Underground water dam levels and energy consumption prediction using computational intelligence techniques. CIVEMSA Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
2013	—	`conf`	Ensemble multisensor data using state-of-the-art classification methods. AFRICON Bhekisipho Twala, Fisseha Mekuria
2013	J	`jnl`	Impact of noise on credit risk prediction: Does data quality really matter? Intell. Data Anal. Bhekisipho Twala
2013	J	`jnl`	Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm. Appl. Soft Comput. Mlungisi Duma, Tshilidzi Marwala, Bhekisipho Twala, Fulufhelo V. Nelwamondo
2013	—	`conf`	Predicting mine dam levels and energy consumption using artificial intelligence methods. CIES Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
2013	B	`conf`	Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization. IJCNN Innocent Sizo Duma, Bhekisipho Twala, Tshilidzi Marwala
2013	—	`conf`	Target tracking using multiple classifier systems and statistical process control. AFRICON Motena Mapesela, Bhekisipho Twala
2013	B	`conf`	Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems. SMC Lufuno Marwala, Bhekisipho Twala
2012	B	`conf`	Classification with missing data using multi-layered artificial immune systems. IEEE Congress on Evolutionary Computation Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo
2012	J	`jnl`	Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study. Appl. Artif. Intell. Mlungisi Duma, Bhekisipho Twala, Fulufhelo V. Nelwamondo, Tshilidzi Marwala
2011	J	`jnl`	Corrigendum to "Multiple classifier application to credit risk assessment" [Expert Systems with Applications 37 (4) (2010) 3326-3336]. Expert Syst. Appl. Bhekisipho Twala
2011	—	`conf`	Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection. ICINCO (1) Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo
2011	—	`conf`	Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. IJCCI (NCTA) Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo
2011	J	`jnl`	Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection CoRR Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala
2011	—	`conf`	Optimization of the compressed air-usage in South African mines. AFRICON Ali Hassan, Khmaies Ouahada, Tshilidzi Marwala, Bhekisipho Twala
2011	J	`jnl`	Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis. CoRR Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala
2010	J	`jnl`	Ensemble missing data techniques for software effort prediction. Intell. Data Anal. Bhekisipho Twala, Michelle Cartwright
2010	J	`jnl`	Multiple classifier application to credit risk assessment. Expert Syst. Appl. Bhekisipho Twala
2010	J	`jnl`	Predicting incomplete gene microarray data with the use of supervised learning algorithms. Pattern Recognit. Lett. Bhekisipho Twala, Motee Phorah
2009	J	`jnl`	An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees. Appl. Artif. Intell. Bhekisipho Twala
2009	—	`conf`	Robot execution failure prediction using incomplete data. ROBIO Bhekisipho Twala
2008	J	`jnl`	Good methods for coping with missing data in decision trees. Pattern Recognit. Lett. Bhekisipho Twala, M. C. Jones, David J. Hand
2007	A	`conf`	Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. ESEM Gernot Armin Liebchen, Bhekisipho Twala, Martin J. Shepperd, Michelle Cartwright, Mark Stephens
2006	A*	`conf`	Ensemble of missing data techniques to improve software prediction accuracy. ICSE Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd
2005	—	`conf`	Comparison of various methods for handling incomplete data in software engineering databases. ISESE Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd
2005	—	`—`	Effective techniques for handling incomplete data using decision trees. Bhekisipho Twala
2005	—	`conf`	Ensemble Imputation Methods for Missing Software Engineering Data. IEEE METRICS Bhekisipho Twala, Michelle Cartwright