• Training feedforward neural networks with Bayesian hyper-heuristics 

  Schreuder, Arné; Bosman, Anna Sergeevna; Engelbrecht, Andries P.; Cleghorn, Christopher W. (Elsevier, 2025-01)

  The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means of a high-level probabilistic-based ...
• ChatGPT as a text annotation tool to evaluate sentiment analysis on South African financial institutions 

  Mathebula, Miehleketo; Modupe, Abiodun; Marivate, Vukosi (Institute of Electrical and Electronics Engineers, 2024-09)

  Social media platforms play a significant role in analyzing customer perceptions of financial products and services in today’s culture. These platforms facilitate the immediate and in-depth sharing of thoughts and ...
• Exploring cross-lingual learning techniques for advancing Tshivenda NLP coverage 

  Nemakhavhani, Ndamulelo (University of Pretoria, 2023-06)

  The information age has been a critical driver in the impressive advancement of Natural Language Processing (NLP) applications in recent years. The benefits of these applications have been prominent in populations with ...
• Learning industrial descriptions : NLP tasks for acronym expansion 

  Johnson, Shaun (University of Pretoria, 2024-02)

  The human language is cryptic since words can be interpreted differently based upon the context within which they occur. The exact meaning of a particular word in its context might be trivial for humans who are generally ...
• Sentiment analysis using unsupervised learning for local government elections in South Africa 

  Matloga, Mokgadi Penelope (University of Pretoria, 2023-11)

  Understanding public sentiment is vital for political parties in order for them to be able to structure their election campaigns around voter expectations. The study focuses on unsupervised learning to assess the variation ...
• Analysing public transport user sentiment 

  Myoya, Rozina L. (University of Pretoria, 2024)

  In many Sub-Saharan countries, the advancement of public transport is frequently overshadowed by more prioritised sectors, highlighting the need for innovative approaches to enhance both the Quality of Service (QoS) and ...
• Using NER and Doc2Vec to cluster South African criminal cases 

  Nchachi, Carel Kagiso (University of Pretoria, 2021)

  The judicial system is the central pillar of law and order across the world. It is re- sponsible for maintaining order amongst citizens and also solving litigations that arise. Although this system has worked quite well, ...
• An investigation of the effectiveness of using Twitter data for predicting South African protests with Graph Neural Networks 

  Ngomane, Derwin (University of Pretoria, 2024-04)

  Social media creates an echo chamber effect that is closely related to social movement theory, which aims to mobilise people to change society. In South Africa, there has been an increase in protests that appear to have ...
• On the transparency of large AI models 

  Wang, Wanying; Wang, Ge; Marivate, Vukosi; Hufton, Andrew L. (Cell Press, 2023-07)

  As large AI models demonstrate increasingly human-like performance on complex tasks, many scientists are developing or adapting these models to empower their research and applications. Because of the substantial costs ...
• Real-time task schedulability analysis via spotlight abstraction 

  Nxumalo, Madoda (University of Pretoria, 2023-12-08)

  The schedulability analysis of real-time systems is challenged by the state space complexity of such systems. It is difficult to develop concrete state space models that can be used to verify the schedulability of real-time ...
• Denoising diffusion post-processing for low-light image enhancement 

  Panagiotou, Savvas; Bosman, Anna (Elsevier, 2024-12)

  Low-light image enhancement (LLIE) techniques attempt to increase the visibility of images captured in low-light scenarios. However, as a result of enhancement, a variety of image degradations such as noise and color bias ...
• Using distributed ledger technology for digital forensic investigation purposes on tendering projects 

  Ramazhamba, T.P.; Venter, H.S. (Hein) (Springer, 2023-03-09)

  The South African Local Government (SALG) uses the tendering system to procure goods and services. Some of these tendering projects are aimed at promoting socio-economic and industrial policies. Hence, the tendering system ...
• Exploring COVID-19 public perceptions in South Africa through sentiment analysis and topic modelling of Twitter posts 

  Kekere, Temitope; Marivate, Vukosi; Hattingh, Maria J. (Marie) (Learning Information Networking and Knowledge (LINK) Centre, Graduate School of Public and Development, 2023)

  The narratives shared on social media during a health crisis such as COVID-19 reflect public perceptions of the crisis. This article provides findings from a study of the perceptions of South African citizens regarding ...
• A Study of bi-space search for bin packing problems 

  Beckedahl, Derrick (University of Pretoria, 2024-03)

  Traditionally, search techniques explore a single space, namely the solution space, to find a solution to a discrete optimisation problem. However, as the field has developed, the effectiveness of working in alternative ...
• Neural network crossover in genetic algorithms using genetic programming 

  Pretorius, Kyle; Pillay, Nelishia (Springer, 2024-06)

  The use of genetic algorithms (GAs) to evolve neural network (NN) weights has risen in popularity in recent years, particularly when used together with gradient descent as a mutation operator. However, crossover operators ...
• A genetic programming approach to the automated design of CNN models for image classification and video shorts creation 

  Kapoor, Rahul; Pillay, Nelishia (Springer, 2024-03)

  Neural architecture search (NAS) is a rapidly growing field which focuses on the automated design of neural network architectures. Genetic algorithms (GAs) have been predominantly used for evolving neural network architectures. ...
• Combating hate : how multilingual transformers can help detect topical hate speech 

  Srikissoon, Trishanta; Marivate, Vukosi (Easychair, 2023)

  Automated hate speech detection is important to protecting people’s dignity, online experiences, and physical safety in Society 5.0. Transformers are sophisticated pre-trained language models that can be fine-tuned for ...
• Regularised feed forward neural networks for streamed data classification problems 

  Ellis, Mathys; Bosman, Anna Sergeevna; Engelbrecht, Andries P. (Elsevier, 2024-07)

  Streamed data classification problems (SDCPs) require classifiers to not just find the optimal decision boundaries that describe the relationships within a data stream, but also to adapt to changes in the decision boundaries ...
• Application of deep reinforcement learning in asset liability management 

  Wekwete, Takura Asael; Kufakunesu, Rodwell; Van Zyl, A.J. (Gusti) (Elsevier, 2023-11)

  Asset Liability Management (ALM) is an essential risk management technique in Quantitative Finance and Actuarial Science. It aims to maximise a risk-taker’s ability to fulfil future liabilities. ALM is especially critical in ...
• Technology-enhanced learning, data sharing, and machine learning challenges in South African education 

  Combrink, Herkulaas MvE; Marivate, Vukosi; Masikisiki, Baphumelele (MDPI, 2023-04-24)

  The objective of this paper was to scope the challenges associated with data-sharing governance for machine learning applications in education research (MLER) within the South African context. Machine learning applications ...

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