Accelerated Classifier Training Using the PSL Cascading Structure. - Teo Susnjak; Andre L. C. Barczak (ICONIP (1), 2008)

Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift. - Teo Susnjak; Andre L. C. Barczak; Ken A. Hawick (ICONIP (1), 2010)

A Modular Approach to Training Cascades of Boosted Ensembles. - Teo Susnjak; Andre L. C. Barczak; Ken A. Hawick (SSPR/SPR, 2010)

A New Ensemble-Based Cascaded Framework for Multiclass Training with Simple Weak Learners. - Teo Susnjak; Andre L. C. Barczak; Napoleon H. Reyes; Ken A. Hawick (CAIP (1), 2011)

Real-time computation of moment invariants combined with contrast stretching. - Andre L. C. Barczak; Napoleon H. Reyes; Teo Susnjak; Martin J. Johnson (EUSIPCO, 2011)

Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps. - Napoleon H. Reyes; Andre L. C. Barczak; Teo Susnjak (RiTA, 2012)

Multiclass Cascades for Ensemble-based Boosting Algorithms. - Teo Susnjak; Andre L. C. Barczak; Napoleon H. Reyes; Ken A. Hawick (STAIRS, 2012)

Adaptive cascade of boosted ensembles for face detection in concept drift. - Teo Susnjak; Andre L. C. Barczak; Ken A. Hawick (Neural Comput. Appl., 2012)

Colour segmentation for multiple low dynamic range images using boosted cascaded classifiers. - Andre L. C. Barczak; Teo Susnjak; Napoleon H. Reyes; Martin J. Johnson (IVCNZ, 2013)

Coarse-to-fine multiclass learning and classification for time-critical domains. - Teo Susnjak; Andre L. C. Barczak; Napoleon H. Reyes; Ken A. Hawick (Pattern Recognit. Lett., 2013)

Characterisation of the Discriminative Properties of the Radial Tchebichef Moments for Hand-written Digits. - Andre L. C. Barczak; Teo Susnjak; Napoleon H. Reyes (IVCNZ, 2014)

Multi-Behaviour Robot Control using Genetic Network Programming with Fuzzy Reinforcement Learning. - W. Wang; Napoleon H. Reyes; Andre L. C. Barczak; Teo Susnjak; Peter Sincak (RiTA, 2014)

Coderetreats: Reflective Practice and the Game of Life. - David Parsons 001; Anuradha Mathrani; Teo Susnjak; Arno Leist (IEEE Softw., 2014)

Influences on regression testing strategies in agile software development environments. - David Parsons 001; Teo Susnjak; Manfred Lange (Softw. Qual. J., 2014)

The Software Developer Cycle: Career demographics and the market clock: or, is SQL the new COBOL? - David Parsons 001; Teo Susnjak; Anuradha Mathrani (ASWEC (2), 2015)

Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies. - Teo Susnjak; David Kerry; Andre L. C. Barczak; Napoleon H. Reyes; Yaniv Gal (Australasian Conference on Artificial Intelligence, 2015)

Automatic alignment and comparison on images of petri dishes containing cell colonies. - Safar Alqahtani; Andre L. C. Barczak; Napoleon H. Reyes; Teo Susnjak; Austen Ganley (IVCNZ, 2015)

Fast and Smooth Replanning for Navigation in Partially Unknown Terrain: The Hybrid Fuzzy-D*lite Algorithm. - Napoleon H. Reyes; Andre L. C. Barczak; Teo Susnjak; A. Jordan (RiTA, 2015)

Characterizing Problem Gamblers in New Zealand: A Novel Expression of Process Cubes. - Suriadi Suriadi; Teo Susnjak; Agate M. Ponder-Sutton; Paul A. Watters; Christoph Schumacher (CAiSE Forum, 2016)

Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand. - Suriadi Suriadi; Teo Susnjak; Agate M. Ponder-Sutton; Paul A. Watters; Christoph Schumacher (Complex Syst. Informatics Model. Q., 2016)

Design from detail: Analyzing data from a global day of coderetreat. - David Parsons 001; Teo Susnjak; Anuradha Mathrani (Inf. Softw. Technol., 2016)

Gendered objectification of weight stigma in social media: a mixed method analysis. - Vajisha U. Wanniarachchi; Anuradha Mathrani; Teo Susnjak; Chris Scogings (ACIS, 2019)

The Inadequacy of Entropy-Based Ransomware Detection. - Timothy R. McIntosh; Julian Jang-Jaccard; Paul A. Watters; Teo Susnjak (ICONIP (5), 2019)

Masquerade Attacks Against Security Software Exclusion Lists. - Timothy R. McIntosh; Julian Jang-Jaccard; Paul A. Watters; Teo Susnjak (Aust. J. Intell. Inf. Process. Syst., 2019)

Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters. - Andre L. C. Barczak; Napoleon H. Reyes; Teo Susnjak (CoRR, 2019)

The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review. - Rory P. Bunker; Teo Susnjak (CoRR, 2019)

A systematic literature review: What is the current stance towards weight stigmatization in social media platforms? - Vajisha Udayangi Wanniarachchi; Anuradha Mathrani; Teo Susnjak; Chris Scogings (Int. J. Hum. Comput. Stud., 2020)

A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench. - Nasim Ahmed; Andre L. C. Barczak; Teo Susnjak; Mohammed A. Rashid (J. Big Data, 2020)

An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster. - Nasim Ahmed; Andre L. C. Barczak; Mohammed A. Rashid; Teo Susnjak (Big Data Cogn. Comput., 2021)

A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters. - Nasim Ahmed; Andre L. C. Barczak; Mohammed A. Rashid; Teo Susnjak (J. Big Data, 2021)

On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining. - Gomathy Ramaswami; Teo Susnjak; Anuradha Mathrani (Big Data Cogn. Comput., 2022)

Supporting Students' Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics. - Gomathy Ramaswami; Teo Susnjak; Anuradha Mathrani (Big Data Cogn. Comput., 2022)

Forecasting Patient Demand at Urgent Care Clinics using Machine Learning. - Paula Maddigan; Teo Susnjak (CoRR, 2022)

A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling and onto Explainable AI with Prescriptive Analytics. - Teo Susnjak (CoRR, 2022)

Predicting Football Match Outcomes with eXplainable Machine Learning and the Kelly Index. - Yiming Ren; Teo Susnjak (CoRR, 2022)

ChatGPT: The End of Online Exam Integrity? - Teo Susnjak (CoRR, 2022)

Data quality challenges in educational process mining: building process-oriented event logs from process-unaware online learning systems. - Rahila Umer; Teo Susnjak; Anuradha Mathrani; Suriadi Suriadi (Int. J. Bus. Inf. Syst., 2022)

The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review. - Rory P. Bunker; Teo Susnjak (J. Artif. Intell. Res., 2022)

Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models. - Nasim Ahmed; Andre L. C. Barczak; Mohammed A. Rashid; Teo Susnjak (J. Big Data, 2022)

RGB-D and Thermal Sensor Fusion: A Systematic Literature Review. - Martin Brenner; Napoleon H. Reyes; Teo Susnjak; Andre L. C. Barczak (IEEE Access, 2023)

Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models. - Paula Maddigan; Teo Susnjak (IEEE Access, 2023)

Hate Speech Patterns in Social Media: A Methodological Framework and Fat Stigma Investigation Incorporating Sentiment Analysis, Topic Modelling and Discourse Analysis. - Vajisha Udayangi Wanniarachchi; Chris Scogings; Teo Susnjak; Anuradha Mathrani (Australas. J. Inf. Syst., 2023)

Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models. - Paula Maddigan; Teo Susnjak (CoRR, 2023)

Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature. - Teo Susnjak (CoRR, 2023)

Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models. - Paula Maddigan; Teo Susnjak (CoRR, 2023)

PRISMA-DFLLM: An Extension of PRISMA for Systematic Literature Reviews using Domain-specific Finetuned Large Language Models. - Teo Susnjak (CoRR, 2023)

From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Paul A. Watters; Malka N. Halgamuge (CoRR, 2023)

Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels. - Gomathy Ramaswami; Teo Susnjak; Anuradha Mathrani (J. Learn. Anal., 2023)

Use of Predictive Analytics within Learning Analytics Dashboards: A Review of Case Studies. - Gomathy Ramaswami; Teo Susnjak; Anuradha Mathrani; Rahila Umer (Technol. Knowl. Learn., 2023)

Current stance on predictive analytics in higher education: opportunities, challenges and future directions. - Rahila Umer; Teo Susnjak; Anuradha Mathrani; Lim Suriadi (Interact. Learn. Environ., 2023)

Forecasting patient demand at urgent care clinics using explainable machine learning. - Teo Susnjak; Paula Maddigan (CAAI Trans. Intell. Technol., 2023)

Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation. - Timothy R. McIntosh; Tong Liu 016; Teo Susnjak; Hooman Alavizadeh; Alex Ng; Raza Nowrozy; Paul A. Watters (Comput. Secur., 2023)

Forecasting patient flows with pandemic induced concept drift using explainable machine learning. - Teo Susnjak; Paula Maddigan (EPJ Data Sci., 2023)

From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Paul A. Watters; Dan Xu; Dongwei Liu; Raza Nowrozy; Malka N. Halgamuge (Comput. Secur., 2024)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Paul A. Watters; Malka N. Halgamuge (CoRR, 2024)

From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Paul A. Watters; Raza Nowrozy; Malka N. Halgamuge (CoRR, 2024)

Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence. - Teo Susnjak; Timothy R. McIntosh; Andre L. C. Barczak; Napoleon H. Reyes; Tong Liu 016; Paul A. Watters; Malka N. Halgamuge (CoRR, 2024)

Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks. - Grant Wardle; Teo Susnjak (CoRR, 2024)

Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study. - Robert Spencer; Surangika Ranathunga; Mikael Boulic; Andries (Hennie) van Heerden; Teo Susnjak (CoRR, 2024)

Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. - Teo Susnjak (Int. J. Artif. Intell. Educ., 2024)

A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination. - Timothy R. McIntosh; Tong Liu 016; Teo Susnjak; Paul A. Watters; Alex Ng; Malka N. Halgamuge (IEEE Trans. Artif. Intell., 2024)

The Inadequacy of Reinforcement Learning From Human Feedback - Radicalizing Large Language Models via Semantic Vulnerabilities. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Paul A. Watters; Malka N. Halgamuge (IEEE Trans. Cogn. Dev. Syst., 2024)

A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning. - Timothy R. McIntosh; Tong Liu 016; Teo Susnjak; Paul A. Watters; Malka N. Halgamuge (ACM Trans. Interact. Intell. Syst., 2024)

A Game-Theoretic Approach to Containing Artificial General Intelligence: Insights From Highly Autonomous Aggressive Malware. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Paul A. Watters; Alex Ng; Malka N. Halgamuge (IEEE Trans. Artif. Intell., 2024)

Towards clinical prediction with transparency: An explainable AI approach to survival modelling in residential aged care. - Teo Susnjak; Elise Griffin (Comput. Methods Programs Biomed., 2025)

Multimodal Deep Learning for Android Malware Classification. - James Arrowsmith; Teo Susnjak; Julian Jang-Jaccard (Mach. Learn. Knowl. Extr., 2025)

Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation. - Masood Sujau; Masako Wada; Emilie Vallée; Natalie Hillis; Teo Susnjak (Mach. Learn. Knowl. Extr., 2025)

Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration. - Timothy R. McIntosh; Teo Susnjak; Tong Liu 016; Dan Xu; Paul A. Watters; Dongwei Liu; Yaqi Hao; Alex Ng; Malka Halgamuge (ACM Comput. Surv., 2025)

The Lyme Disease Controversy: An AI-Driven Discourse Analysis of a Quarter Century of Academic Debate and Divides. - Teo Susnjak; Cole Palffy; Tatiana Zimina; Nazgul Altynbekova; Kunal Garg; Leona Gilbert (CoRR, 2025)

Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI. - Lingbo Li; Anuradha Mathrani; Teo Susnjak (CoRR, 2025)

Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. - Teo Susnjak; Peter Hwang; Napoleon H. Reyes; Andre L. C. Barczak; Timothy R. McIntosh; Surangika Ranathunga (ACM Trans. Knowl. Discov. Data, 2025)

Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models. - Jittarin Jetwiriyanon; Teo Susnjak; Surangika Ranathunga (CoRR, 2025)

What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction. - Lingbo Li; Anuradha Mathrani; Teo Susnjak (CoRR, 2025)