Terence L. van Zyl

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 56

Top Topics

Transfer Learning

Infectious Disease

Kernel Density Estimator

Top Venues

Publications

Sonia Bullah, Terence L. van Zyl
A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem. CoRR (2023)
Terence L. van Zyl
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting. CoRR (2023)
Terence L. van Zyl
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting. FUSION (2023)
Sonia Bullah, Terence L. van Zyl
A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem. ISMSI (2023)
Taeisha Nundlall, Terence L. van Zyl
Machine Learning for Socially Responsible Portfolio Optimisation. CoRR (2023)
Taeisha Nundlall, Terence L. van Zyl
Machine Learning for Socially Responsible Portfolio Optimisation. ISMSI (2023)
Nicholas Baard, Terence L. van Zyl
Twin-Delayed Deep Deterministic Policy Gradient Algorithm for Portfolio Selection. CIFEr (2022)
Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy
Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations. CoRR (2022)
Nishai Kooverjee, Steven James, Terence L. van Zyl
Investigating Transfer Learning in Graph Neural Networks. CoRR (2022)
Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets. CoRR (2022)
Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang
Multi-Modal Recommendation System with Auxiliary Information. CoRR (2022)
Liezl Stander, Matthew Woolway, Terence L. van Zyl
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system. CoRR (2022)
Ruan Pretorius, Terence L. van Zyl
Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management. CoRR (2022)
Thokozile Manaka, Terence L. van Zyl, Deepak Kar
Improving Cause-of-Death Classification from Verbal Autopsy Reports. SACAIR (2022)
Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway
Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem. CoRR (2022)
Pieter Cawood, Terence L. van Zyl
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion. CoRR (2022)
Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten
Towards a Methodology for Addressing Missingness in Datasets, with an Application to Demographic Health Datasets. SACAIR (2022)
Thokozile Manaka, Terence L. van Zyl, Deepak Kar
Improving Cause-of-Death Classification from Verbal Autopsy Reports. CoRR (2022)
Andrew Paskaramoorthy, Terence L. van Zyl, Tim Gebbie
An Empirical Comparison of Cross-Validation Procedures for Portfolio Selection. CIFEr (2022)
Mufhumudzi Muthivhi, Terence L. van Zyl
Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization. FUSION (2022)
Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang
Multi-modal Recommendation System with Auxiliary Information. SACAIR (2022)
Nimesh Bhana, Terence L. van Zyl
Knowledge Graph Fusion for Language Model Fine-tuning. CoRR (2022)
Thabang Mathonsi, Terence L. van Zyl
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection. CoRR (2022)
Thokozile Manaka, Terence L. van Zyl, Alisha N. Wade, Deepak Kar
Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia. CoRR (2022)
Mufhumudzi Muthivhi, Terence L. van Zyl
Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization. CoRR (2022)
Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway
Transfer Learning and Deep Metric Learning for Automated Galaxy Morphology Representation. IEEE Access 10 (2022)
Jiahao Huo, Terence L. van Zyl
Incremental Class Learning using Variational Autoencoders with Similarity Learning. CoRR (2021)
Pieter Cawood, Terence L. van Zyl
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves. CoRR (2021)
Daniel Yazbek, Jonathan Sandile Sibindi, Terence L. van Zyl
Deep Similarity Learning for Sports Team Ranking. CoRR (2021)
Zainoolabadien Karim, Terence L. van Zyl
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. 13 (21) (2021)
Terence L. van Zyl, Turgay Çelik
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. 14 (2021)
Andrew Paskaramoorthy, Tim Gebbie, Terence L. van Zyl
The efficient frontiers of mean-variance portfolio rules under distribution misspecification. FUSION (2021)
Thabang Mathonsi, Terence L. van Zyl
Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning. CoRR (2021)
Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy
ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection. CoRR (2021)
Nkosikhona Dlamini, Terence L. van Zyl
Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification. Sensors 21 (18) (2021)
Timilehin Ogundare, Terence L. van Zyl
Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data. FUSION (2021)
Terence L. van Zyl
Full Rotation Hyper-ellipsoid Multivariate Adaptive Bandwidth Kernel Density Estimator. SACAIR (2021)
Bryce Engelbrecht, Terence L. van Zyl
Comparing CNN Architectures for Land Cover Classification on Multispectral Images. IGARSS (2021)
Thabang Mathonsi, Terence L. van Zyl
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling. CoRR (2021)
Matthew Kruger, Terence L. van Zyl, Andrew Paskaramoorthy
AMA-K: Aggressive Multi-Temporal Allocation An Algorithm for Aggressive Online Portfolio Selection. CoRR (2021)
Rylan Perumal, Terence L. van Zyl
Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model). CoRR (2021)
Siddeeq Laher, Andrew Paskaramoorthy, Terence L. van Zyl
Deep Learning for Financial Time Series Forecast Fusion and Optimal Portfolio Rebalancing. FUSION (2021)
Timilehin Ogundare, Terence L. van Zyl
Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data. CoRR (2021)
Jiahao Huo, Terence L. van Zyl
Unique Faces Recognition in Videos. FUSION (2020)
Habeebullah Manack, Terence L. van Zyl
Deep Similarity Learning for Soccer Team Ranking. FUSION (2020)
Jiahao Huo, Terence L. van Zyl
Unique Faces Recognition in Videos. CoRR (2020)
Nishai Kooverjee, Steven James, Terence L. van Zyl
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition. CoRR (2020)
Rylan Perumal, Terence L. van Zyl
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling. CoRR (2020)
Terence L. van Zyl, Matthew Woolway, Bryce Engelbrecht
Unique Animal Identification using Deep Transfer Learning For Data Fusion in Siamese Networks. FUSION (2020)
Shivaar Sooklal, Terence L. van Zyl, Andrew Paskaramoorthy
DRICORN-K: A Dynamic RIsk CORrelation-driven Non-parametric Algorithm for Online Portfolio Selection. SACAIR (2020)
Rylan Perumal, Terence L. van Zyl
Surrogate Assisted Methods for the Parameterisation of Agent-Based Models. CoRR (2020)
J. Atherfold, Terence L. van Zyl
A Method for Dissolved Gas Forecasting in Power Transformers Using LS-SVM. FUSION (2020)
L. Stander, Matthew Woolway, Terence L. van Zyl
Data-Driven Evolutionary Optimisation for the design parameters of a Chemical Process: A Case Study. FUSION (2020)
M. Z. Variawa, Terence L. van Zyl, Matthew Woolway
A rules-based and Transfer Learning approach for deriving the Hubble type of a galaxy from the Galaxy Zoo data. FUSION (2020)
Rowan Lange, Tony Lange, Terence L. van Zyl
Predicting Particle Fineness in a Cement Mill. FUSION (2020)
Bolelang Sibolla, Serena Coetzee, Terence L. van Zyl
A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams. ISPRS Int. J. Geo Inf. 7 (12) (2018)
Terence L. van Zyl, Graeme McFerren
Applying Sensor Web strategies to Big Data earth observations. IGARSS (2013)
Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Derek Hohls
Earth Observation Scientific Workflows in a Distributed Computing Environment. Trans. GIS 16 (2) (2012)
Liping Di, Karen Moe, Terence L. van Zyl
Earth Observation Sensor Web: An Overview. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 3 (4-1) (2010)
Terence L. van Zyl, Elizabeth Marie Ehlers
Signal-regulated systems and networks. Complex. 15 (6) (2010)
Terence L. van Zyl, Ingo Simonis, Graeme McFerren
The Sensor Web: systems of sensor systems. Int. J. Digit. Earth 2 (1) (2009)
Terence L. van Zyl, Elizabeth Marie Ehlers
Self-organising Sensor Web using Cell-Fate Optimisation. IGARSS (5) (2009)
Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Petrus Shabangu, Bheki Cwele
Using SensorML to Describe Scientific Workflows in Distributed Web Service Environments. IGARSS (5) (2009)
Terence L. van Zyl
GEOSS From Orbit, A Sensor Web Approach. IGARSS (1) (2008)
Wabo Majavu, Terence L. van Zyl, Tshilidzi Marwala
Classification of web resident sensor resources using Latent Semantic Indexing and ontologies. SMC (2008)
Graeme McFerren, Terence L. van Zyl, Marna van der Merwe, Martella du Preez
User Requirements for Sensor Web based Scientific Workflows in the Cholera Research Domain. IGARSS (5) (2008)
Terence L. van Zyl, Elizabeth Marie Ehlers
A Need for Biologically Inspired Architectural Description: The Agent Ontogenesis Case. PRIMA (2007)