Terence L. van Zyl

88 papers B 2C 15Journal 50Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model. CoRR Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang
2025	J	`jnl`	Improving Wildlife Out-of-Distribution Detection: Africas Big Five. CoRR Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson, Terence L. van Zyl
2025	J	`jnl`	Incremental class learning using variational autoencoders with similarity learning. Neural Comput. Appl. Jiahao Huo, Terence L. van Zyl
2025	J	`jnl`	Multivariate anomaly detection based on prediction intervals constructed using deep learning. Neural Comput. Appl. Thabang Mathonsi, Terence L. van Zyl
2025	J	`jnl`	Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition. CoRR Jiahao Huo, Mufhumudzi Muthivhi, Terence L. van Zyl, Fredrik Gustafsson
2025	J	`jnl`	Surrogate-assisted evolutionary multi-objective optimisation applied to a pressure swing adsorption system. Neural Comput. Appl. Liezl Stander, Matthew Woolway, Terence L. van Zyl
2025	J	`jnl`	Surrogate-assisted hyper-parameter search for portfolio optimisation: multi-period considerations. Neural Comput. Appl. Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy
2025	J	`jnl`	Surrogate-assisted strategies: the parameterisation of an infectious disease agent-based model. Neural Comput. Appl. Rylan Perumal, Terence L. van Zyl
2025	C	`conf`	Wildlife Target Re-Identification Using Self-Supervised Learning in Non-Urban Settings. FUSION Mufhumudzi Muthivhi, Terence L. van Zyl
2025	J	`jnl`	Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings. CoRR Mufhumudzi Muthivhi, Terence L. van Zyl
2024	—	`conf`	Antelope classification using Deep Neural Networks. ISCMI T. T. Lemani, Terence L. van Zyl
2024	J	`jnl`	Multi-step Transfer Learning in Natural Language Processing for the Health Domain. Neural Process. Lett. Thokozile Manaka, Terence L. van Zyl, Deepak Kar, Alisha N. Wade
2023	—	`conf`	A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem. ISMSI Sonia Bullah, Terence L. van Zyl
2023	J	`jnl`	A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem. CoRR Sonia Bullah, Terence L. van Zyl
2023	J	`jnl`	Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16. CoRR T. T. Lemani, Terence L. van Zyl
2023	C	`conf`	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting. FUSION Terence L. van Zyl
2023	J	`jnl`	Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting. CoRR Terence L. van Zyl
2023	—	`conf`	Machine Learning for Socially Responsible Portfolio Optimisation. ISMSI Taeisha Nundlall, Terence L. van Zyl
2023	J	`jnl`	Machine Learning for Socially Responsible Portfolio Optimisation. CoRR Taeisha Nundlall, Terence L. van Zyl
2022	—	`conf`	An Empirical Comparison of Cross-Validation Procedures for Portfolio Selection. CIFEr Andrew Paskaramoorthy, Terence L. van Zyl, Tim Gebbie
2022	—	`conf`	Cryptocurrency Trading Agent Using Deep Reinforcement Learning. ISCMI Uwais Suliman, Terence L. van Zyl, Andrew Paskaramoorthy
2022	J	`jnl`	Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management. CoRR Ruan Pretorius, Terence L. van Zyl
2022	J	`jnl`	Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion. CoRR Pieter Cawood, Terence L. van Zyl
2022	J	`jnl`	Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem. CoRR Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway
2022	C	`conf`	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization. FUSION Mufhumudzi Muthivhi, Terence L. van Zyl
2022	J	`jnl`	Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization. CoRR Mufhumudzi Muthivhi, Terence L. van Zyl
2022	—	`conf`	Improving Cause-of-Death Classification from Verbal Autopsy Reports. SACAIR Thokozile Manaka, Terence L. van Zyl, Deepak Kar
2022	J	`jnl`	Improving Cause-of-Death Classification from Verbal Autopsy Reports. CoRR Thokozile Manaka, Terence L. van Zyl, Deepak Kar
2022	J	`jnl`	Investigating Transfer Learning in Graph Neural Networks. CoRR Nishai Kooverjee, Steven James, Terence L. van Zyl
2022	—	`conf`	Knowledge Graph Fusion for Language Model Fine-Tuning. ISCMI Nimesh Bhana, Terence L. van Zyl
2022	J	`jnl`	Knowledge Graph Fusion for Language Model Fine-tuning. CoRR Nimesh Bhana, Terence L. van Zyl
2022	J	`jnl`	Multi-Modal Recommendation System with Auxiliary Information. CoRR Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang
2022	—	`conf`	Multi-modal Recommendation System with Auxiliary Information. SACAIR Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang
2022	J	`jnl`	Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations. CoRR Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy
2022	J	`jnl`	Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection. CoRR Thabang Mathonsi, Terence L. van Zyl
2022	J	`jnl`	Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system. CoRR Liezl Stander, Matthew Woolway, Terence L. van Zyl
2022	—	`conf`	Towards a Methodology for Addressing Missingness in Datasets, with an Application to Demographic Health Datasets. SACAIR Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten
2022	J	`jnl`	Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets. CoRR Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten
2022	J	`jnl`	Transfer Learning and Deep Metric Learning for Automated Galaxy Morphology Representation. IEEE Access Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway
2022	—	`conf`	Twin-Delayed Deep Deterministic Policy Gradient Algorithm for Portfolio Selection. CIFEr Nicholas Baard, Terence L. van Zyl
2022	J	`jnl`	Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia. CoRR Thokozile Manaka, Terence L. van Zyl, Alisha N. Wade, Deepak Kar
2022	J	`jnl`	Volatility forecasting using Deep Learning and sentiment analysis. CoRR V. Ncume, Terence L. van Zyl, Andrew Paskaramoorthy
2021	J	`jnl`	A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling. CoRR Thabang Mathonsi, Terence L. van Zyl
2021	J	`jnl`	AMA-K: Aggressive Multi-Temporal Allocation An Algorithm for Aggressive Online Portfolio Selection. CoRR Matthew Kruger, Terence L. van Zyl, Andrew Paskaramoorthy
2021	—	`conf`	AMA-K: Aggressive Multi-temporal Allocation with K Experts for Online Portfolio Selection. ISCMI Matthew Kruger, Terence L. van Zyl, Andrew Paskaramoorthy
2021	C	`conf`	Comparing CNN Architectures for Land Cover Classification on Multispectral Images. IGARSS Bryce Engelbrecht, Terence L. van Zyl
2021	J	`jnl`	Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification. Sensors Nkosikhona Dlamini, Terence L. van Zyl
2021	C	`conf`	Deep Learning for Financial Time Series Forecast Fusion and Optimal Portfolio Rebalancing. FUSION Siddeeq Laher, Andrew Paskaramoorthy, Terence L. van Zyl
2021	J	`jnl`	Deep Similarity Learning for Sports Team Ranking. CoRR Daniel Yazbek, Jonathan Sandile Sibindi, Terence L. van Zyl
2021	J	`jnl`	Deep/Transfer Learning with Feature Space Ensemble Networks (FeatSpaceEnsNets) and Average Ensemble Networks (AvgEnsNets) for Change Detection Using DInSAR Sentinel-1 and Optical Sentinel-2 Satellite Data Fusion. Remote. Sens. Zainoolabadien Karim, Terence L. van Zyl
2021	J	`jnl`	Did We Produce More Waste During the COVID-19 Lockdowns? A Remote Sensing Approach to Landfill Change Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Terence L. van Zyl, Turgay Çelik
2021	—	`conf`	Feature-Weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves. ISCMI Pieter Cawood, Terence L. van Zyl
2021	J	`jnl`	Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves. CoRR Pieter Cawood, Terence L. van Zyl
2021	—	`conf`	Full Rotation Hyper-ellipsoid Multivariate Adaptive Bandwidth Kernel Density Estimator. SACAIR Terence L. van Zyl
2021	J	`jnl`	Incremental Class Learning using Variational Autoencoders with Similarity Learning. CoRR Jiahao Huo, Terence L. van Zyl
2021	—	`conf`	MA-FDRNN: Multi-Asset Fuzzy Deep Recurrent Neural Network Reinforcement Learning for Portfolio Management. ISCMI Tarrin Skeepers, Terence L. van Zyl, Andrew Paskaramoorthy
2021	J	`jnl`	Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning. CoRR Thabang Mathonsi, Terence L. van Zyl
2021	—	`conf`	ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection. ISCMI Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy
2021	J	`jnl`	ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection. CoRR Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy
2021	J	`jnl`	Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model). CoRR Rylan Perumal, Terence L. van Zyl
2021	C	`conf`	Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data. FUSION Timilehin Ogundare, Terence L. van Zyl
2021	J	`jnl`	Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data. CoRR Timilehin Ogundare, Terence L. van Zyl
2021	C	`conf`	The efficient frontiers of mean-variance portfolio rules under distribution misspecification. FUSION Andrew Paskaramoorthy, Tim Gebbie, Terence L. van Zyl
2020	C	`conf`	A Method for Dissolved Gas Forecasting in Power Transformers Using LS-SVM. FUSION J. Atherfold, Terence L. van Zyl
2020	C	`conf`	A rules-based and Transfer Learning approach for deriving the Hubble type of a galaxy from the Galaxy Zoo data. FUSION Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway
2020	J	`jnl`	Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling. CoRR Rylan Perumal, Terence L. van Zyl
2020	—	`conf`	DRICORN-K: A Dynamic RIsk CORrelation-driven Non-parametric Algorithm for Online Portfolio Selection. SACAIR Shivaar Sooklal, Terence L. van Zyl, Andrew Paskaramoorthy
2020	C	`conf`	Data-Driven Evolutionary Optimisation for the design parameters of a Chemical Process: A Case Study. FUSION Liezl Stander, Matthew Woolway, Terence L. van Zyl
2020	C	`conf`	Deep Similarity Learning for Soccer Team Ranking. FUSION Habeebullah Manack, Terence L. van Zyl
2020	J	`jnl`	Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. CoRR Nishai Kooverjee, Steven James, Terence L. van Zyl
2020	C	`conf`	Predicting Particle Fineness in a Cement Mill. FUSION Rowan Lange, Tony Lange, Terence L. van Zyl
2020	J	`jnl`	Surrogate Assisted Methods for the Parameterisation of Agent-Based Models. CoRR Rylan Perumal, Terence L. van Zyl
2020	C	`conf`	Unique Animal Identification using Deep Transfer Learning For Data Fusion in Siamese Networks. FUSION Terence L. van Zyl, Matthew Woolway, Bryce Engelbrecht
2020	C	`conf`	Unique Faces Recognition in Videos. FUSION Jiahao Huo, Terence L. van Zyl
2020	J	`jnl`	Unique Faces Recognition in Videos. CoRR Jiahao Huo, Terence L. van Zyl
2019	—	`conf`	A Systematic Review on Big Data Analytics Frameworks for Higher Education - Tools and Algorithms. EBIMCS David Otoo-Arthur, Terence L. van Zyl
2018	J	`jnl`	A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams. ISPRS Int. J. Geo Inf. Bolelang Sibolla, Serena Coetzee, Terence L. van Zyl
2013	C	`conf`	Applying Sensor Web strategies to Big Data earth observations. IGARSS Terence L. van Zyl, Graeme McFerren
2012	J	`jnl`	Earth Observation Scientific Workflows in a Distributed Computing Environment. Trans. GIS Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Derek Hohls
2010	J	`jnl`	Earth Observation Sensor Web: An Overview. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Liping Di, Karen Moe, Terence L. van Zyl
2010	J	`jnl`	Signal-regulated systems and networks. Complex. Terence L. van Zyl, Elizabeth Marie Ehlers
2009	—	`conf`	Self-organising Sensor Web using Cell-Fate Optimisation. IGARSS (5) Terence L. van Zyl, Elizabeth Marie Ehlers
2009	J	`jnl`	The Sensor Web: systems of sensor systems. Int. J. Digit. Earth Terence L. van Zyl, Ingo Simonis, Graeme McFerren
2009	—	`conf`	Using SensorML to Describe Scientific Workflows in Distributed Web Service Environments. IGARSS (5) Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Petrus Shabangu, Bheki Cwele
2008	B	`conf`	Classification of web resident sensor resources using Latent Semantic Indexing and ontologies. SMC Wabo Majavu, Terence L. van Zyl, Tshilidzi Marwala
2008	—	`conf`	GEOSS From Orbit, A Sensor Web Approach. IGARSS (1) Terence L. van Zyl
2008	—	`conf`	User Requirements for Sensor Web based Scientific Workflows in the Cholera Research Domain. IGARSS (5) Graeme McFerren, Terence L. van Zyl, Marna van der Merwe, Martella du Preez
2007	B	`conf`	A Need for Biologically Inspired Architectural Description: The Agent Ontogenesis Case. PRIMA Terence L. van Zyl, Elizabeth Marie Ehlers