Teo Susnjak - RankMe

93 papers Misc 3Journal 76Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Commencing-Student Enrolment Forecasting Under Data Sparsity with Time Series Foundation Models. CoRR Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga
2026	J	`jnl`	GatedFusion-Net: Per-pixel modality weighting in a five-cue transformer for RGB-D-I-T-UV fusion. Inf. Fusion Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
2026	J	`jnl`	Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence. IEEE Trans. Artif. Intell. Timothy R. McIntosh, Teo Susnjak, Nalin A. G. Arachchilage, Tong Liu, Dan Xu, Paul A. Watters, Malka N. Halgamuge
2026	J	`jnl`	MM5: Multimodal image capture and dataset generation for RGB, depth, thermal, UV, and NIR. Inf. Fusion Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
2026	J	`jnl`	Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence. IEEE Trans. Cybern. Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak, Napoleon H. Reyes, Tong Liu, Paul A. Watters, Malka N. Halgamuge
2026	J	`jnl`	When Predictions Shape Reality: A Socio-Technical Synthesis of Performative Predictions in Machine Learning. CoRR Gal Fybish, Teo Susnjak
2025	J	`jnl`	A Design Science Blueprint for an Orchestrated AI Assistant in Doctoral Supervision. CoRR Teo Susnjak, Timothy R. McIntosh, Tong Liu, Paul A. Watters
2025	J	`jnl`	A Survey of Bugs in AI-Generated Code. CoRR Ruofan Gao, Amjed Tahir, Peng Liang, Teo Susnjak, Foutse Khomh
2025	J	`jnl`	Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation. Mach. Learn. Knowl. Extr. Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Susnjak
2025	J	`jnl`	Automated Risk-of-Bias Assessment of Randomized Controlled Trials: A First Look at a GEPA-trained Programmatic Prompting Framework. CoRR Lingbo Li, Anuradha Mathrani, Teo Susnjak
2025	J	`jnl`	Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. ACM Trans. Knowl. Discov. Data Teo Susnjak, Peter Hwang, Napoleon H. Reyes, Andre L. C. Barczak, Timothy R. McIntosh, Surangika Ranathunga
2025	J	`jnl`	Compiling Prompts, Not Crafting Them: A Reproducible Workflow for AI-Assisted Evidence Synthesis. CoRR Teo Susnjak
2025	J	`jnl`	Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification. CoRR Binglan Han, Anuradha Mathrani, Teo Susnjak
2025	J	`jnl`	Generalisation Bounds of Zero-Shot Economic Forecasting Using Time Series Foundation Models. Mach. Learn. Knowl. Extr. Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga
2025	J	`jnl`	Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models. CoRR Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga
2025	J	`jnl`	Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks. Big Data Cogn. Comput. Grant Wardle, Teo Susnjak
2025	J	`jnl`	Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach. ACM Trans. Intell. Syst. Technol. Tong Liu, Timothy R. McIntosh, Teo Susnjak, Paul A. Watters, Malka N. Halgamuge
2025	J	`jnl`	Multimodal Deep Learning for Android Malware Classification. Mach. Learn. Knowl. Extr. James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard
2025	J	`jnl`	Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration. ACM Comput. Surv. Timothy R. McIntosh, Teo Susnjak, Tong Liu, Dan Xu, Paul A. Watters, Dongwei Liu, Yaqi Hao, Alex Ng, Malka Halgamuge
2025	J	`jnl`	Stabilising Learner Trajectories: A Doubly Robust Evaluation of AI-Guided Student Support using Activity Theory. CoRR Teo Susnjak, Khalid Bakhshov, Anuradha Mathrani
2025	J	`jnl`	The Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions. J. Cybersecur. Priv. Dan Xu, Iqbal Gondal, Xun Yi, Teo Susnjak, Paul A. Watters, Timothy R. McIntosh
2025	J	`jnl`	The Lyme Disease Controversy: An AI-Driven Discourse Analysis of a Quarter Century of Academic Debate and Divides. CoRR Teo Susnjak, Cole Palffy, Tatiana Zimina, Nazgul Altynbekova, Kunal Garg, Leona Gilbert
2025	J	`jnl`	Towards clinical prediction with transparency: An explainable AI approach to survival modelling in residential aged care. Comput. Methods Programs Biomed. Teo Susnjak, Elise Griffin
2025	J	`jnl`	Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI. CoRR Lingbo Li, Anuradha Mathrani, Teo Susnjak
2025	J	`jnl`	What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction. CoRR Lingbo Li, Anuradha Mathrani, Teo Susnjak
2024	J	`jnl`	A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination. IEEE Trans. Artif. Intell. Timothy R. McIntosh, Tong Liu, Teo Susnjak, Paul A. Watters, Alex Ng, Malka N. Halgamuge
2024	J	`jnl`	A Game-Theoretic Approach to Containing Artificial General Intelligence: Insights From Highly Autonomous Aggressive Malware. IEEE Trans. Artif. Intell. Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Alex Ng, Malka N. Halgamuge
2024	J	`jnl`	A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning. ACM Trans. Interact. Intell. Syst. Timothy R. McIntosh, Tong Liu, Teo Susnjak, Paul A. Watters, Malka N. Halgamuge
2024	J	`jnl`	Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. CoRR Teo Susnjak, Peter Hwang, Napoleon H. Reyes, Andre L. C. Barczak, Timothy R. McIntosh, Surangika Ranathunga
2024	J	`jnl`	Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. Int. J. Artif. Intell. Educ. Teo Susnjak
2024	J	`jnl`	From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models. CoRR Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Raza Nowrozy, Malka N. Halgamuge
2024	J	`jnl`	From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models. Comput. Secur. Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Dan Xu, Dongwei Liu, Raza Nowrozy, Malka N. Halgamuge
2024	J	`jnl`	Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks. CoRR Grant Wardle, Teo Susnjak
2024	J	`jnl`	Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence. CoRR Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Malka N. Halgamuge
2024	J	`jnl`	Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence. CoRR Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak, Napoleon H. Reyes, Tong Liu, Paul A. Watters, Malka N. Halgamuge
2024	J	`jnl`	The Inadequacy of Reinforcement Learning From Human Feedback - Radicalizing Large Language Models via Semantic Vulnerabilities. IEEE Trans. Cogn. Dev. Syst. Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Malka N. Halgamuge
2024	J	`jnl`	Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study. CoRR Robert Spencer, Surangika Ranathunga, Mikael Boulic, Andries (Hennie) van Heerden, Teo Susnjak
2023	J	`jnl`	Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature. CoRR Teo Susnjak
2023	J	`jnl`	Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models. CoRR Paula Maddigan, Teo Susnjak
2023	J	`jnl`	Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models. CoRR Paula Maddigan, Teo Susnjak
2023	J	`jnl`	Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models. IEEE Access Paula Maddigan, Teo Susnjak
2023	J	`jnl`	Current stance on predictive analytics in higher education: opportunities, challenges and future directions. Interact. Learn. Environ. Rahila Umer, Teo Susnjak, Anuradha Mathrani, Lim Suriadi
2023	J	`jnl`	Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels. J. Learn. Anal. Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani
2023	J	`jnl`	Forecasting patient demand at urgent care clinics using explainable machine learning. CAAI Trans. Intell. Technol. Teo Susnjak, Paula Maddigan
2023	J	`jnl`	Forecasting patient flows with pandemic induced concept drift using explainable machine learning. EPJ Data Sci. Teo Susnjak, Paula Maddigan
2023	J	`jnl`	From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape. CoRR Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Malka N. Halgamuge
2023	J	`jnl`	Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation. Comput. Secur. Timothy R. McIntosh, Tong Liu, Teo Susnjak, Hooman Alavizadeh, Alex Ng, Raza Nowrozy, Paul A. Watters
2023	J	`jnl`	Hate Speech Patterns in Social Media: A Methodological Framework and Fat Stigma Investigation Incorporating Sentiment Analysis, Topic Modelling and Discourse Analysis. Australas. J. Inf. Syst. Vajisha Udayangi Wanniarachchi, Chris Scogings, Teo Susnjak, Anuradha Mathrani
2023	J	`jnl`	PRISMA-DFLLM: An Extension of PRISMA for Systematic Literature Reviews using Domain-specific Finetuned Large Language Models. CoRR Teo Susnjak
2023	J	`jnl`	RGB-D And Thermal Sensor Fusion: A Systematic Literature Review. CoRR Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
2023	J	`jnl`	RGB-D and Thermal Sensor Fusion: A Systematic Literature Review. IEEE Access Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
2023	J	`jnl`	Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care. CoRR Teo Susnjak, Elise Griffin
2023	J	`jnl`	Use of Predictive Analytics within Learning Analytics Dashboards: A Review of Case Studies. Technol. Knowl. Learn. Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani, Rahila Umer
2022	J	`jnl`	A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling and onto Explainable AI with Prescriptive Analytics. CoRR Teo Susnjak
2022	J	`jnl`	ChatGPT: The End of Online Exam Integrity? CoRR Teo Susnjak
2022	J	`jnl`	Data quality challenges in educational process mining: building process-oriented event logs from process-unaware online learning systems. Int. J. Bus. Inf. Syst. Rahila Umer, Teo Susnjak, Anuradha Mathrani, Suriadi Suriadi
2022	J	`jnl`	Forecasting Patient Demand at Urgent Care Clinics using Machine Learning. CoRR Paula Maddigan, Teo Susnjak
2022	J	`jnl`	Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning. CoRR Teo Susnjak, Paula Maddigan
2022	J	`jnl`	On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining. Big Data Cogn. Comput. Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani
2022	J	`jnl`	Predicting Football Match Outcomes with eXplainable Machine Learning and the Kelly Index. CoRR Yiming Ren, Teo Susnjak
2022	J	`jnl`	Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models. J. Big Data Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak
2022	J	`jnl`	Supporting Students' Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics. Big Data Cogn. Comput. Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani
2022	J	`jnl`	The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review. J. Artif. Intell. Res. Rory P. Bunker, Teo Susnjak
2021	J	`jnl`	A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters. J. Big Data Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak
2021	J	`jnl`	An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster. Big Data Cogn. Comput. Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak
2020	J	`jnl`	A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench. J. Big Data Nasim Ahmed, Andre L. C. Barczak, Teo Susnjak, Mohammed A. Rashid
2020	J	`jnl`	A systematic literature review: What is the current stance towards weight stigmatization in social media platforms? Int. J. Hum. Comput. Stud. Vajisha Udayangi Wanniarachchi, Anuradha Mathrani, Teo Susnjak, Chris Scogings
2019	J	`jnl`	Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters. CoRR Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak
2019	—	`conf`	Gendered objectification of weight stigma in social media: a mixed method analysis. ACIS Vajisha U. Wanniarachchi, Anuradha Mathrani, Teo Susnjak, Chris Scogings
2019	J	`jnl`	Masquerade Attacks Against Security Software Exclusion Lists. Aust. J. Intell. Inf. Process. Syst. Timothy R. McIntosh, Julian Jang-Jaccard, Paul A. Watters, Teo Susnjak
2019	J	`jnl`	The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review. CoRR Rory P. Bunker, Teo Susnjak
2019	—	`conf`	The Inadequacy of Entropy-Based Ransomware Detection. ICONIP (5) Timothy R. McIntosh, Julian Jang-Jaccard, Paul A. Watters, Teo Susnjak
2016	—	`conf`	Characterizing Problem Gamblers in New Zealand: A Novel Expression of Process Cubes. CAiSE Forum Suriadi Suriadi, Teo Susnjak, Agate M. Ponder-Sutton, Paul A. Watters, Christoph Schumacher
2016	J	`jnl`	Design from detail: Analyzing data from a global day of coderetreat. Inf. Softw. Technol. David Parsons, Teo Susnjak, Anuradha Mathrani
2016	J	`jnl`	Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand. Complex Syst. Informatics Model. Q. Suriadi Suriadi, Teo Susnjak, Agate M. Ponder-Sutton, Paul A. Watters, Christoph Schumacher
2015	Misc	`conf`	Automatic alignment and comparison on images of petri dishes containing cell colonies. IVCNZ Safar Alqahtani, Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Austen Ganley
2015	—	`conf`	Fast and Smooth Replanning for Navigation in Partially Unknown Terrain: The Hybrid Fuzzy-D*lite Algorithm. RiTA Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak, A. Jordan
2015	—	`conf`	The Software Developer Cycle: Career demographics and the market clock: or, is SQL the new COBOL? ASWEC (2) David Parsons, Teo Susnjak, Anuradha Mathrani
2015	—	`conf`	Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies. Australasian Conference on Artificial Intelligence Teo Susnjak, David Kerry, Andre L. C. Barczak, Napoleon H. Reyes, Yaniv Gal
2014	Misc	`conf`	Characterisation of the Discriminative Properties of the Radial Tchebichef Moments for Hand-written Digits. IVCNZ Andre L. C. Barczak, Teo Susnjak, Napoleon H. Reyes
2014	J	`jnl`	Coderetreats: Reflective Practice and the Game of Life. IEEE Softw. David Parsons, Anuradha Mathrani, Teo Susnjak, Arno Leist
2014	J	`jnl`	Influences on regression testing strategies in agile software development environments. Softw. Qual. J. David Parsons, Teo Susnjak, Manfred Lange
2014	—	`conf`	Multi-Behaviour Robot Control using Genetic Network Programming with Fuzzy Reinforcement Learning. RiTA W. Wang, Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak, Peter Sincak
2013	J	`jnl`	Coarse-to-fine multiclass learning and classification for time-critical domains. Pattern Recognit. Lett. Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
2013	Misc	`conf`	Colour segmentation for multiple low dynamic range images using boosted cascaded classifiers. IVCNZ Andre L. C. Barczak, Teo Susnjak, Napoleon H. Reyes, Martin J. Johnson
2012	J	`jnl`	Adaptive cascade of boosted ensembles for face detection in concept drift. Neural Comput. Appl. Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
2012	—	`conf`	Multiclass Cascades for Ensemble-based Boosting Algorithms. STAIRS Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
2012	—	`conf`	Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps. RiTA Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak
2011	—	`conf`	A New Ensemble-Based Cascaded Framework for Multiclass Training with Simple Weak Learners. CAIP (1) Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
2011	—	`conf`	Real-time computation of moment invariants combined with contrast stretching. EUSIPCO Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Martin J. Johnson
2010	—	`conf`	A Modular Approach to Training Cascades of Boosted Ensembles. SSPR/SPR Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
2010	—	`conf`	Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift. ICONIP (1) Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
2008	—	`conf`	Accelerated Classifier Training Using the PSL Cascading Structure. ICONIP (1) Teo Susnjak, Andre L. C. Barczak