| 2025 | FUSION | Wildlife Target Re-Identification Using Self-Supervised Learning in Non-Urban Settings. | Mufhumudzi Muthivhi, Terence L. van Zyl |
| 2023 | FUSION | Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting. | Terence L. van Zyl |
| 2022 | FUSION | Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization. | Mufhumudzi Muthivhi, Terence L. van Zyl |
| 2021 | FUSION | Deep Learning for Financial Time Series Forecast Fusion and Optimal Portfolio Rebalancing. | Siddeeq Laher, Andrew Paskaramoorthy, Terence L. van Zyl |
| 2021 | FUSION | Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data. | Timilehin Ogundare, Terence L. van Zyl |
| 2021 | FUSION | The efficient frontiers of mean-variance portfolio rules under distribution misspecification. | Andrew Paskaramoorthy, Tim Gebbie, Terence L. van Zyl |
| 2021 | IGARSS | Comparing CNN Architectures for Land Cover Classification on Multispectral Images. | Bryce Engelbrecht, Terence L. van Zyl |
| 2020 | FUSION | A Method for Dissolved Gas Forecasting in Power Transformers Using LS-SVM. | J. Atherfold, Terence L. van Zyl |
| 2020 | FUSION | Unique Faces Recognition in Videos. | Jiahao Huo, Terence L. van Zyl |
| 2020 | FUSION | Predicting Particle Fineness in a Cement Mill. | Rowan Lange, Tony Lange, Terence L. van Zyl |
| 2020 | FUSION | Deep Similarity Learning for Soccer Team Ranking. | Habeebullah Manack, Terence L. van Zyl |
| 2020 | FUSION | Data-Driven Evolutionary Optimisation for the design parameters of a Chemical Process: A Case Study. | Liezl Stander, Matthew Woolway, Terence L. van Zyl |
| 2020 | FUSION | A rules-based and Transfer Learning approach for deriving the Hubble type of a galaxy from the Galaxy Zoo data. | Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway |
| 2020 | FUSION | Unique Animal Identification using Deep Transfer Learning For Data Fusion in Siamese Networks. | Terence L. van Zyl, Matthew Woolway, Bryce Engelbrecht |
| 2013 | IGARSS | Applying Sensor Web strategies to Big Data earth observations. | Terence L. van Zyl, Graeme McFerren |
| 2009 | IGARSS | Self-organising Sensor Web using Cell-Fate Optimisation. | Terence L. van Zyl, Elizabeth Marie Ehlers |
| 2009 | IGARSS | Using SensorML to Describe Scientific Workflows in Distributed Web Service Environments. | Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Petrus Shabangu, Bheki Cwele |
| 2008 | IGARSS | User Requirements for Sensor Web based Scientific Workflows in the Cholera Research Domain. | Graeme McFerren, Terence L. van Zyl, Marna van der Merwe, Martella du Preez |
| 2008 | IGARSS | GEOSS From Orbit, A Sensor Web Approach. | Terence L. van Zyl |
| 2008 | SMC | Classification of web resident sensor resources using Latent Semantic Indexing and ontologies. | Wabo Majavu, Terence L. van Zyl, Tshilidzi Marwala |
| 2007 | PRIMA | A Need for Biologically Inspired Architectural Description: The Agent Ontogenesis Case. | Terence L. van Zyl, Elizabeth Marie Ehlers |