Journal Articles

2022

Surrogate-assisted strategies: the parameterisation of an infectious disease agent-based model
R. Perumal and T.L.v. Zyl
Neural Computing and Applications, pp. 1--12, Jan-Dec. 2022

Multivariate anomaly detection based on prediction intervals constructed using deep learning
T. Mathonsi and T.L. van Zyl
Neural Computing and Applications, pp. 1--15, Jan-Dec. 2022

A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
T. Mathonsi and T.L. van Zyl
Forecasting, vol. 4, no. 1, pp. 1--25, Jan-Dec. 2022

Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
W. Freeborough and T.L. van Zyl
Applied Sciences, vol. 12, no. 3, pp. 1427, Jan-Dec. 2022

Transfer learning and deep metric learning for automated galaxy morphology representation
M.Z. Variawa, T.L. Van Zyl, and M. Woolway
IEEE Access, vol. 10, pp. 19539--19550, Jan-Dec. 2022

Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management
R. Pretorius and T. van Zyl
arXiv preprint arXiv:2203.11318, Jan-Dec. 2022

Evaluating State of the Art, Forecasting Ensembles-and Meta-learning Strategies for Model Fusion
P. Cawood and T. van Zyl
Forecasting, vol. 4, pp. 732--751, Jan-Dec. 2022

Investigating Transfer Learning in Graph Neural Networks
N. Kooverjee, S. James, and T. Van Zyl
Electronics, vol. 11, no. 8, pp. 1202, Jan-Dec. 2022

Surrogate-assisted evolutionary multi-objective optimisation applied to a pressure swing adsorption system
L. Stander, M. Woolway, and T.L. Van Zyl
Neural Computing and Applications, pp. 1--17, Jan-Dec. 2022

2021

Determining real-time patterns of lightning strikes from sensor observations
B.H. Sibolla, T. Van Zyl, and S. Coetzee
Journal of Geovisualization and Spatial Analysis, vol. 5, pp. 1--18, Jan-Dec. 2021

Did we produce more waste during the covid-19 lockdowns? a remote sensing approach to landfill change analysis
T.L. van Zyl and T. Celik
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 7349--7358, Jan-Dec. 2021

Comparing class-aware and pairwise loss functions for deep metric learning in wildlife re-identification
N. Dlamini and T.L. van Zyl
Sensors, vol. 21, no. 18, pp. 6109, Jan-Dec. 2021

Modeling E-Behaviour, Personality and Academic Performance with Machine Learning
S.B. Seota, R. Klein, and T.L. van Zyl
Applied Sciences, vol. 11, no. 22, pp. 10546, Jan-Dec. 2021

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
Z. Karim and T.L. van Zyl
Remote Sensing, vol. 13, no. 21, pp. 4394, Jan-Dec. 2021

2020

Applications of Machine Learning to Estimating the Sizes and Market Impact of Hidden Orders in the BRICS Financial Markets
W. Maake and T. Van Zyl
Journal of Advanced Studies in Finance, vol. 11, no. 1(21), pp. 28--64, Jan-Dec. 2020

A framework for online investment decisions
A.B. Paskaramoorthy, T.J. Gebbie, and T.L. van Zyl
Investment Analysts Journal, vol. 49, no. 3, pp. 215--231, Jan-Dec. 2020

2018

A framework for visual analytics of spatio-temporal sensor observations from data streams
B.H. Sibolla, S. Coetzee, and T.L. Van Zyl
ISPRS International Journal of Geo-Information, vol. 7, no. 12, pp. 475, Jan-Dec. 2018

2013

National Carbon Sink Assessment for South Africa: First Estimate of Terrestrial Stocks and Fluxes
R. Scholes, G. Von Maltitz, S. Archibald, K. Wessels, T. Van Zyl, D. Swanepoel, and K. Steenkamp
CSIR: Pretoria, South Africa, pp. 1--38, Jan-Dec. 2013

2012

FOSS geospatial libraries in scientific workflow environments: experiences and directions
G. McFerren, T. van Zyl, and A. Vahed
Applied Geomatics, vol. 4, pp. 85--93, Jan-Dec. 2012

HiTempo: a platform for time-series analysis of remote-sensing satellite data in a high-performance computing environment
F. Van Den Bergh, K.J. Wessels, S. Miteff, T.L. Van Zyl, A.D. Gazendam, and A.K. Bachoo
International journal of remote sensing, vol. 33, no. 15, pp. 4720--4740, Jan-Dec. 2012

2011

Earth observation scientific workflows in a distributed computing environment
T. Van Zyl, G. McFerren, and A. Vahed
Transactions in GIS, Jan-Dec. 2011

2010

Earth observation sensor web: An overview
L. Di, K. Moe, and T.L. van Zyl
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 3, no. 4, pp. 415--417, Jan-Dec. 2010

An implementation of resource-negotiating agents in telemanufacturing
T.L. Van Zyl, E.M. Ehlers, and E. Marais
International Journal of Product Development, vol. 11, no. 1-2, pp. 115--135, Jan-Dec. 2010

Signal-regulated systems and networks
T.L. Van Zyl and E.M. Ehlers
Complexity, vol. 15, no. 6, pp. 50--63, Jan-Dec. 2010

2009

The sensor web: systems of sensor systems
T. van Zyl, I. Simonis, and G. McFerren
International Journal of Digital Earth, vol. 2, no. 1, pp. 16--30, Jan-Dec. 2009

2008

Enabling a new era of Earth observation research: scientific workflows for the Sensor Web'
D. Moodley, A. Vahed, I. Simonis, G. McFerren, and T. van Zyl
Ecological Circuits, vol. 1, pp. 20--23, Jan-Dec. 2008

Conference Publications and Posters

2022

Full Rotation Hyper-ellipsoid Multivariate Adaptive Bandwidth Kernel Density Estimator
T.L. van Zyl
287--303, Second Southern African Conference on Artificial Intelligence Research, Springer, Cham, Jan-Dec. 2022

Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
M. Muthivhi and T.L. van Zyl
1--8, 2022 25th International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2022

Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia
T. Manaka, T. Van Zyl, A.N. Wade, and D. Kar
90--106, Proceedings of SACAIR2021, Jan-Dec. 2022

Twin-Delayed Deep Deterministic Policy Gradient Algorithm for Portfolio Selection
N. Baard and T.L. van Zyl
1--8, 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), IEEE, Jan-Dec. 2022

An Empirical Comparison of Cross-Validation Procedures for Portfolio Selection
A. Paskaramoorthy, T.L. van Zyl, and T. Gebbie
1--10, 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), IEEE, Jan-Dec. 2022

Application of Convolutional Neural Networks to the Quantification of Tick Burdens on Cattle Using Infrared Thermographic Imaging
F. Mudau, T.L. Van Zyl, A.H. Molotsi, P. Waldmann, K. Dzama, and M.C. Marufu
1--9, 2022 IST-Africa Conference (IST-Africa), IEEE, Jan-Dec. 2022

Multi-modal Recommendation System with Auxiliary Information
M. Muthivhi, T. van Zyl, and H. Wang
108--122, Artificial Intelligence Research: Third Southern African Conference, SACAIR 2022, Stellenbosch, South Africa, December 5--9, 2022, Proceedings, Springer Nature Switzerland Cham, Jan-Dec. 2022

Improving Cause-of-Death Classification from Verbal Autopsy Reports
T. Manaka, T. van Zyl, and D. Kar
46--59, Artificial Intelligence Research: Third Southern African Conference, SACAIR 2022, Stellenbosch, South Africa, December 5--9, 2022, Proceedings, Springer Nature Switzerland Cham, Jan-Dec. 2022

Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets
G. Khangamwa, T. van Zyl, and C.J. van Alten
169--186, Artificial Intelligence Research: Third Southern African Conference, SACAIR 2022, Stellenbosch, South Africa, December 5--9, 2022, Proceedings, Springer Nature Switzerland Cham, Jan-Dec. 2022

2021

Deep Similarity Learning for Sports Team Ranking
D. Yazbek, J.S. Sibindi, and T.L. Van Zyl
1--6, 2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), IEEE, Jan-Dec. 2021

Parden: Surrogate assisted hyper-parameter optimisation for portfolio selection
T.L. van Zyl, M. Woolway, and A. Paskaramoorthy
101--107, 2021 8th international conference on soft computing & machine intelligence (ISCMI), IEEE, Jan-Dec. 2021

Feature-weighted stacking for nonseasonal time series forecasts: A case study of the COVID-19 epidemic curves
P. Cawood and T.L. van Zyl
53--59, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2021

Incremental Class Learning using Variational Autoencoders with Similarity Learning
J. Huo and T.L. van Zyl
arXiv preprint arXiv:2110.01303, Jan-Dec. 2021

Comparing CNN Architectures for Land Cover Classification on Multispectral Images
B. Engelbrecht and T.L. van Zyl
5378--5381, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, IEEE, Jan-Dec. 2021

Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data
O. Timilehin and T.L. van Zyl
1--7, 2021 IEEE 24th International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2021

Deep learning for financial time series forecast fusion and optimal portfolio rebalancing
S. Laher, A. Paskaramoorthy, and T.L. Van Zyl
1--8, 2021 IEEE 24th International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2021

AMA-K: Aggressive Multi-temporal Allocation with K Experts for Online Portfolio Selection
M. Kruger, T.L. van Zyl, and A. Paskaramoorthy
114--119, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2021

MA-FDRNN: Multi-asset fuzzy deep recurrent neural network reinforcement learning for portfolio management
T. Skeepers, T.L. van Zyl, and A. Paskaramoorthy
32--37, 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2021

The efficient frontiers of mean-variance portfolio rules under distribution misspecification
A. Paskaramoorthy, T. Gebbie, and T.L. Van Zyl
1--8, 2021 IEEE 24th International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2021

2020

Inter-and intra-domain knowledge transfer for related tasks in deep character recognition
N. Kooverjee, S. James, and T. Van Zyl
1--6, 2020 International SAUPEC/RobMech/PRASA Conference, IEEE, Jan-Dec. 2020

Deep Learning and Transfer Learning applied to Sentinel-1 DInSAR and Sentinel-2 optical satellite imagery for change detection
Z. Karim and T.L. van Zyl
1--7, 2020 International SAUPEC/RobMech/PRASA Conference, IEEE, Jan-Dec. 2020

Automating predictive maintenance using oil analysis and machine learning
S. Keartland and T.L. Van Zyl
1--6, 2020 International SAUPEC/RobMech/PRASA Conference, IEEE, Jan-Dec. 2020

Comparison of recurrent neural network architectures for wildfire spread modelling
R. Perumal and T.L. van Zyl
1--6, 2020 International SAUPEC/RobMech/PRASA Conference, IEEE, Jan-Dec. 2020

Unique Faces Recognition in Videos
J. Huo and T.L. van Zyl
2020 IEEE 23rd International Conference on Information Fusion (FUSION), Jan-Dec. 2020

Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
R. Perumal and T.L. van Zyl
2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), Jan-Dec. 2020

A scalable heterogeneous big data framework for e-learning systems
D. Otoo-Arthur and T.L. van Zyl
1--15, 2020 international conference on artificial intelligence, big data, computing and data communication systems (icABCD), IEEE, Jan-Dec. 2020

A rules-based and transfer learning approach for deriving the Hubble type of a galaxy from the galaxy zoo data
M.Z. Variawa, T.L. van Zyl, and M. Woolway
1--7, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2020

Unique animal identification using deep transfer learning for data fusion in siamese networks
T.L. Van Zyl, M. Woolway, and B. Engelbrecht
1--6, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2020

Predicting particle fineness in a cement mill
R. Lange, T. Lange, and T.L. van Zyl
1--8, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2020

A method for dissolved gas forecasting in power transformers using ls-svm
J. Atherfold and T.L. Van Zyl
1--8, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2020

Data-driven evolutionary optimisation for the design parameters of a chemical process: A case study
L. Stander, M. Woolway, and T.L. van Zyl
1--8, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2020

Deep similarity learning for soccer team ranking
H. Manack and T.L. Van Zyl
1--7, 2020 IEEE 23rd International Conference on Information Fusion (FUSION), IEEE, Jan-Dec. 2020

DRICORN-K: A Dynamic RIsk CORrelation-driven Non-parametric Algorithm for Online Portfolio Selection
S. Sooklal, T.L. van Zyl, and A. Paskaramoorthy
183--196, Southern African Conference for Artificial Intelligence Research, Springer, Cham, Jan-Dec. 2020

Comparing generalisation using crowd-sourced vs expert labels for galaxies classification
M. Variawa, T. van Zyl, and M. Woolway
158--162, 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2020

Makespan minimisation for multipurpose batch plants using metaheuristic approaches
T. van Zyl and M. Woolway
56--60, 2020 7th international conference on soft computing & machine intelligence (ISCMI), IEEE, Jan-Dec. 2020

Automated identification of individuals in wildlife population using siamese neural networks
N. Dlamini and T.L. van Zyl
224--228, 2020 7th international conference on soft computing & machine intelligence (ISCMI), IEEE, Jan-Dec. 2020

Comparative analysis of catastrophic forgetting in metric learning
J. Huo and T.L. van Zyl
68--72, 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2020

Extended surrogate assisted continuous process optimisation
L. Stander, M. Woolway, and T. van Zyl
275--279, 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2020

Automated Music Recommendations Using Similarity Learning
J. Burns and T.L. van Zyl
288, SACAIR 2020, Jan-Dec. 2020

Prediction interval construction for multivariate point forecasts using deep learning
T. Mathonsi and T.L. van Zyl
88--95, 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2020

A comparative study of ensemble approaches to fact-checking for the fever shared task
O.O. Oni and T.L. van Zyl
1--8, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), IEEE, Jan-Dec. 2020

2019

Comparative metaheuristic performance for the scheduling of multipurpose batch plants
Z. Bowditch, M. Woolway, and T. van Zyl
121--125, 2019 6th international conference on soft computing & machine intelligence (ISCMI), IEEE, Jan-Dec. 2019

Peak Detection, Feature Extraction and Clustering of Peptides Fragments Ions
K. Monyai, T. van Zyl, and S. Stoychev
144--149, 2019 6th International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, Jan-Dec. 2019

Author identification from handwritten characters using Siamese CNN
N. Dlamini and T.L. van Zyl
1--6, 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC), IEEE, Jan-Dec. 2019

A systematic review on big data analytics frameworks for higher education-Tools and algorithms
D. Otoo-Arthur and T. Van Zyl
1--9, Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science, Jan-Dec. 2019

2016

Towards The Development Of A Taxonomy For Visualisation Of Streamed Geospatial Data
B. Sibolla, T. Van Zyl, and S. Coetzee
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, Jan-Dec. 2016

Geospatial data stream processing in Python using FOSS4G components
G. McFerren and T.L. Van Zyl
ISPRS, Jan-Dec. 2016

2014

A comparison of machine learning techniques for predicting downstream acid mine drainage
T.L. van Zyl
IGARRS, Jan-Dec. 2014

Fire hazard notifications via Satellite, Twitter, Citizen Reports, and Android Apps
L. Butgereit, S. Moonsamy, T. Thomson, T. Van Zyl, and G. McFerren
Proceedings of the African Cyber Citizen Conference, Jan-Dec. 2014

Adding temporal data enhancements to the advanced spatial data infrastructure platform
B. Sibolla, T. Van Zyl, G. McFerren, and D. Hohls
AARSE2014, Jan-Dec. 2014

2013

Applying Sensor Web strategies to Big Data earth observations
T.L. van Zyl and G. Mcferren
798--799, Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, IEEE, Jan-Dec. 2013

2012

Harnessing cyber-infrastructure for local scale climate change research in Africa
A. Vahed, F. Engelbrecht, I. Simonis, M. Naidoo, B. Sibolla, T. Van Zyl, and G. McFerren
IST-Africa Conference Proceedings, Jan-Dec. 2012

Beyond GIS with EO4VisTrails: a geospatio-temporal scientific workflow environment
T.L. Van Zyl
EE Publishers, Jan-Dec. 2012

2009

IT infrastructure enabling open access for flood risk preparedness in South Africa
T. Van Zyl, C. Parbhoo, D. Moodley, B. Cwela, D. Umuhoza, P. Shabangu, and A. Vahed
6th International ISCRAM 2009 Conference, Jan-Dec. 2009

Using SensorML to describe scientific workflows in distributed web service environments
T.L. Van Zyl and A. Vahed
V--375, 2009 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Jan-Dec. 2009

Self-organising sensor web using cell-fate optimisation
T.L. van Zyl and E.M. Ehlers
V--461, 2009 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Jan-Dec. 2009

2008

User requirements for sensor web based scientific workflows in the Cholera research domain
G. McFerren, T. van Zyl, M. van der Merwe, and M. du Preez
V--136, IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Jan-Dec. 2008

Software Agent Technology supporting Risk Management in SPM
R. Nienaber, E. Smith, A. Barnard, and T. Van Zyl
IADIS International Conference on Applied Computing (IADIS 2008), Algarve, Portugal, Jan-Dec. 2008

Classification of web resident sensor resources using Latent Semantic Indexing and ontologies
W. Majavu, T.L. van Zyl, and T. Marwala
518--523, 2008 IEEE International Conference on Systems, Man and Cybernetics, IEEE, Jan-Dec. 2008

GEOSS from orbit, a sensor web approach
T.L. van Zyl
I--134, IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Jan-Dec. 2008

2007

A Need for Biologically Inspired Architectural Description: The Agent Ontogenesis Case
T.L. van Zyl and E.M. Ehlers
146--157, Pacific Rim International Conference on Multi-Agents, Springer, Berlin, Heidelberg, Jan-Dec. 2007