Bhekisipho Twala

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Dr Neeraj Priyadarshi, “Top 2% of Scie...IEEE Senior MemberVerified email at jisgroup.org
Dr.RAJESH SINGH(Director-R&I) Uttaranchal University & Universidad Internacional Iberoamericana(UNINI), MexicoVerified email at uttaranchaluniversity.ac.in
Dr. Anita GehlotUttaranchal University, Dehardun and Universidad Internacional Iberoamericana (UNINI), MexicoVerified email at uttaranchaluniversity.ac.in
Tshilidzi Marwala (チリツィマルワラ)Rector of the United Nations UniversityVerified email at unu.edu
Ali N HasanDoctor of Electrical Engineering, University of JohannesburgVerified email at uj.ac.za
Dr.Shaik Vaseem AkramSR University, WarangalVerified email at sru.edu.in
Eustace M. DogoFederal University of Technology MinnaVerified email at futminna.edu.ng
Martin ShepperdProfessor of Software Technology & Modelling, Brunel University LondonVerified email at brunel.ac.uk
Nnamdi I. NwuluProfessor of Sustainable Cyber-Physical Engineering Systems, University of JohannesburgVerified email at uj.ac.za
Clinton AigbavboaUniversity of JohannesburgVerified email at uj.ac.za
Fulufhelo NelwamondoPrincipal researcher, CSIR/ Visiting Professor of Electrical Engineering, University of JohannesburgVerified email at uj.ac.za
Hippolyte Djonon TsagueSenior Data Scientist Bank of CanadaVerified email at bank-banque-canada.ca
Matsilele MabasoData ScientistVerified email at csir.co.za
Dr. MBIKA MUTEBAUniversity of JohannesburgVerified email at uj.ac.za
Daniel WitheyUniversity of the West of EnglandVerified email at uwe.ac.uk
Ahmed AliUniversity of johannesburgVerified email at uj.ac.za
Witold PedryczVerified email at ualberta.ca

Bhekisipho Twala

Tshwane University of Technology

Verified email at tut.ac.za - Homepage

Applied & Theoretical Machine Learning Knowledge Discovery and Reasoning with Uncertainty Image and Signal Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Guide to advanced empirical software engineering F Shull, J Singer, DIK Sjberg ISBN : 978-1-84800-043-8, 2008	903	2008
Computational intelligence and quantitative software engineering W Pedrycz, G Succi, A Sillitti Springer 617, 207, 2016	385*	2016
A comparative analysis of gradient descent-based optimization algorithms on convolutional neural networks EM Dogo, OJ Afolabi, NI Nwulu, B Twala, CO Aigbavboa 2018 international conference on computational techniques, electronics and …, 2018	368	2018
An adaptive Cuckoo search algorithm for optimisation M Mareli, B Twala Applied computing and informatics 14 (2), 107-115, 2018	363	2018
Multiple classifier application to credit risk assessment B Twala Expert systems with applications 37 (4), 3326-3336, 2010	236	2010
An empirical comparison of techniques for handling incomplete data using decision trees B Twala Applied Artificial Intelligence 23 (5), 373-405, 2009	201	2009
Good methods for coping with missing data in decision trees BETH Twala, MC Jones, DJ Hand Pattern Recognition Letters 29 (7), 950-956, 2008	186	2008
Unsupervised learning for robust Bitcoin fraud detection P Monamo, V Marivate, B Twala 2016 Information Security for South Africa (ISSA), 129-134, 2016	157	2016
Log-concave polynomials, entropy, and a deterministic approximation algorithm for counting bases of matroids N Anari, SO Gharan, C Vinzant, B Twala 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS), 35-46, 2018	120	2018
A New Imputation Method for Small Software Project Data Sets Q Song, M Cartwright, B Twala Systems and Software, 2007	114	2007
Advances in machine learning applications in software engineering D Zhang, JJP Tsai Igi Global, 2006	109	2006
Energy System 4.0: Digitalization of the energy sector with inclination towards sustainability R Singh, SV Akram, A Gehlot, D Buddhi, N Priyadarshi, B Twala Sensors 22 (17), 6619, 2022	103	2022
A survey of machine learning methods applied to anomaly detection on drinking-water quality data EM Dogo, NI Nwulu, B Twala, C Aigbavboa Urban Water Journal 16 (3), 235-248, 2019	96	2019
Imperative role of integrating digitalization in the firms finance: A technological perspective D Bisht, R Singh, A Gehlot, SV Akram, A Singh, EC Montero, ... Electronics 11 (19), 3252, 2022	94	2022
A multifaceted approach to bitcoin fraud detection: Global and local outliers PM Monamo, V Marivate, B Twala 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016	82	2016
Machine learning applications in software engineering D Zhang, JJP Tsai World Scientific, 2005	80	2005
Technologies empowered environmental, social, and governance (ESG): An industry 4.0 landscape A Saxena, R Singh, A Gehlot, SV Akram, B Twala, A Singh, EC Montero, ... Sustainability 15 (1), 309, 2022	75	2022
Imperative role of machine learning algorithm for detection of Parkinson’s disease: review, challenges and recommendations A Rana, A Dumka, R Singh, MK Panda, N Priyadarshi, B Twala Diagnostics 12 (8), 2003, 2022	73	2022
MOOC 5.0: A Roadmap to the Future of Learning I Ahmad, S Sharma, R Singh, A Gehlot, N Priyadarshi, B Twala Sustainability 14 (18), 11199, 2022	68	2022
Digitalization of supply chain management with industry 4.0 enabling technologies: a sustainable perspective S Chauhan, R Singh, A Gehlot, SV Akram, B Twala, N Priyadarshi Processes 11 (1), 96, 2022	67	2022

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