TZ
Terence van Zyl
cs.LGcs.AIcs.CVq-fin.PMcs.CEcs.NEstat.MLcs.CLcs.CYcs.IR
On Valency
published · living versionsW_dt42j8cc·v1 · currentpublished
Visual-Prompt Guided Wildlife Instance-Level Recognition
with Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson
1 version
Preprints & journals
43 papers in the corpus · 2020–2026A Time-Synchronous Prequential Evaluation Framework for Next-Week Student Disengagement Prediction from Moodle LMS Logs2610.17490v1 · David Otoo-Arthur, Terence L. van Zyl2026 · 0 citationsarXiv
Longitudinal Learner Participation Profiling in Online Learning: Heterogeneous Consensus Clustering under Unequal Observation Windows2610.17494v1 · David Otoo-Arthur, Terence L. van Zyl2026 · 0 citationsarXiv
Visual-Prompt Guided Wildlife Instance-Level Recognition2608.18246v1 · Mufhumudzi Muthivhi, Jiahao Huo, Terence van Zyl et al.2026 · 0 citationsarXivon Valency
Multi-Object Tracking Consistently Improves Wildlife Inference2605.16672v1 · Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson et al.2026 · 0 citationsarXiv
Complexity of Linear Regions in Self-supervised Deep ReLU Networks2604.24393v1 · Mufhumudzi Muthivhi, Terence L. van Zyl2026 · 0 citationsarXiv
BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model2512.13848v1 · Mufhumudzi Muthivhi, Terence L van Zyl, Hairong Wang2025 · 1 citationarXiv
Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition2510.17338v1 · Jiahao Huo, Mufhumudzi Muthivhi, Terence L. van Zyl et al.2025 · 1 citationarXiv
Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings2507.02403v1 · Mufhumudzi Muthivhi, Terence L. van Zyl2025 · 2 citationsarXiv
Improving Wildlife Out-of-Distribution Detection: Africas Big Five2506.06719v2 · Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson et al.2025 · 1 citationCVPR 2025 Workshop on Computer Vision for Animal Behavior Tracking and Modeling (CV4Animals)
The bias of IID resampled backtests for rolling-window mean-variance portfolios2505.06383v1 · Andrew Paskaramoorthy, Terence van Zyl, Tim Gebbie2025 · 1 citationInvestment Analyst Journal 2025 1-26
Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-162311.05981v1 · T.T Lemani, T.L. van Zyl2023 · 0 citationsarXiv
An Alzheimer's disease category progression sub-grouping analysis using manifold learning on ADNI.37380746 · van der Haar, Dustin, Moustafa, Ahmed, Warren, Samuel L et al.2023 · 23 citationsScientific reports. 2023;13(1):10483
Machine Learning for Socially Responsible Portfolio Optimisation2305.12364v1 · Taeisha Nundlall, Terence L Van Zyl2023 · 5 citationsarXiv
A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem2304.06675v1 · Sonia Bullah, Terence L. van Zyl2023 · 5 citationsarXiv
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting2303.11000v1 · Terence L. van Zyl2023 · 5 citationsarXiv
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets2211.02856v1 · Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten2022 · 0 citationsarXiv
Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem2210.17149v1 · Mohamed Z. Variawa, Terence L. Van Zyl, Matthew Woolway2022 · 0 citationsarXiv
Improving Cause-of-Death Classification from Verbal Autopsy Reports2210.17161v1 · Thokozile Manaka, Terence van Zyl, Deepak Kar2022 · 3 citationsarXiv
Volatility forecasting using Deep Learning and sentiment analysis2210.12464v2 · V Ncume, T. L van Zyl, A Paskaramoorthy2022 · 1 citationarXiv
Multi-Modal Recommendation System with Auxiliary Information2210.10652v1 · Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang2022 · 7 citationsarXiv
Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations2209.13528v1 · Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy2022 · 0 citationsarXiv
Knowledge Graph Fusion for Language Model Fine-tuning2206.14574v1 · Nimesh Bhana, Terence L. van Zyl2022 · 1 citationarXiv
Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia2204.12169v1 · Thokozile Manaka, Terence Van Zyl, Alisha N Wade et al.2022 · 1 citationarXiv
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system2204.12585v1 · Liezl Stander, Matthew Woolway, Terence L. Van Zyl2022 · 19 citationsarXiv
Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization2203.05673v1 · Mufhumudzi Muthivhi, Terence L. van Zyl2022 · 7 citationsarXiv
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion2203.03279v3 · Pieter Cawood, Terence van Zyl2022 · 23 citationsarXiv
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection2202.12720v1 · Thabang Mathonsi, Terence L van Zyl2022 · 2 citationsarXiv
Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management2203.11318v1 · Ruan Pretorius, Terence van Zyl2022 · 6 citationsarXiv
Investigating Transfer Learning in Graph Neural Networks2202.00740v1 · Nishai Kooverjee, Steven James, Terence van Zyl2022 · 20 citationsarXiv
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling2112.08618v1 · Thabang Mathonsi, Terence L. van Zyl2021 · 46 citationsarXiv
Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning2110.03393v1 · Thabang Mathonsi, Terence L. van Zyl2021 · 20 citationsarXiv
Incremental Class Learning using Variational Autoencoders with Similarity Learning2110.01303v3 · Jiahao Huo, Terence L. van Zyl2021 · 7 citationsarXiv
AMA-K: Aggressive Multi-Temporal Allocation An Algorithm for Aggressive Online Portfolio Selection2109.13508v1 · Matthew Kruger, Terence L. van Zyl, Andrew Paskaramoorthy2021 · 0 citationsarXiv
Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification.34577319 · Dlamini, Nkosikhona, van Zyl, Terence L2021 · 7 citationsSensors (Basel, Switzerland). 2021;21(18)
Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data2109.04207v1 · Timilehin Ogundare, Terence Van Zyl2021 · 4 citationsarXiv
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves2108.08723v6 · Pieter Cawood, Terence L. van Zyl2021 · 10 citationsarXiv
Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model)2108.08809v1 · Rylan Perumal, Terence L van Zyl2021 · 19 citationsarXiv
ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection2107.02121v1 · Terence van Zyl, Matthew Woolway, Andrew Paskaramoorthy2021 · 14 citationsarXiv
The efficient frontiers of mean-variance portfolio rules under distribution misspecification2106.10491v2 · Andrew Paskaramoorthy, Tim Gebbie, Terence van Zyl2021 · 8 citations2021 IEEE 24th International Conference on Information Fusion (FUSION), 2021, pp. 1-8
Surrogate Assisted Methods for the Parameterisation of Agent-Based Models2008.11835v1 · Rylan Perumal, Terence L van Zyl2020 · 17 citationsarXiv
Unique Faces Recognition in Videos2006.05713v1 · Jiahao Huo, Terence L van Zyl2020 · 8 citationsarXiv
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling2005.13040v1 · Rylan Perumal, Terence L van Zyl2020 · 20 citations2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 2020, pp. 1-6
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition2001.00448v1 · Nishai Kooverjee, Steven James, Terence van Zyl2020 · 5 citationsarXiv
Career total: 128 works. 43 are in this corpus.
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