Teo Susnjak

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 50

Top Topics

Literature Review

Top Venues

Big Data Cogn. Comput.

Publications

Teo Susnjak, Timothy R. McIntosh, Andre L. C. Barczak, Napoleon H. Reyes, Tong Liu, Paul A. Watters, Malka N. Halgamuge
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence. CoRR (2024)
Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Dan Xu, Dongwei Liu, Raza Nowrozy, Malka N. Halgamuge
From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models. Comput. Secur. 144 (2024)
Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Malka N. Halgamuge
The Inadequacy of Reinforcement Learning From Human Feedback - Radicalizing Large Language Models via Semantic Vulnerabilities. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Malka N. Halgamuge
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence. CoRR (2024)
Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Raza Nowrozy, Malka N. Halgamuge
From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models. CoRR (2024)
Teo Susnjak, Peter Hwang, Napoleon H. Reyes, Andre L. C. Barczak, Timothy R. McIntosh, Surangika Ranathunga
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. CoRR (2024)
Teo Susnjak
Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT. Int. J. Artif. Intell. Educ. 34 (2) (2024)
Timothy R. McIntosh, Tong Liu, Teo Susnjak, Paul A. Watters, Alex Ng, Malka N. Halgamuge
A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination. IEEE Trans. Artif. Intell. 5 (6) (2024)
Timothy R. McIntosh, Tong Liu, Teo Susnjak, Hooman Alavizadeh, Alex Ng, Raza Nowrozy, Paul A. Watters
Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation. Comput. Secur. 134 (2023)
Teo Susnjak, Elise Griffin, Mitchell McCutcheon, Kathleen Potter
Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care. CoRR (2023)
Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani
Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels. J. Learn. Anal. 10 (3) (2023)
Teo Susnjak
PRISMA-DFLLM: An Extension of PRISMA for Systematic Literature Reviews using Domain-specific Finetuned Large Language Models. CoRR (2023)
Timothy R. McIntosh, Teo Susnjak, Tong Liu, Paul A. Watters, Malka N. Halgamuge
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape. CoRR (2023)
Rahila Umer, Teo Susnjak, Anuradha Mathrani, Lim Suriadi
Current stance on predictive analytics in higher education: opportunities, challenges and future directions. Interact. Learn. Environ. 31 (6) (2023)
Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
RGB-D and Thermal Sensor Fusion: A Systematic Literature Review. IEEE Access 11 (2023)
Paula Maddigan, Teo Susnjak
Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models. CoRR (2023)
Vajisha Udayangi Wanniarachchi, Chris Scogings, Teo Susnjak, Anuradha Mathrani
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. 27 (2023)
Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani, Rahila Umer
Use of Predictive Analytics within Learning Analytics Dashboards: A Review of Case Studies. Technol. Knowl. Learn. 28 (3) (2023)
Teo Susnjak, Paula Maddigan
Forecasting patient demand at urgent care clinics using explainable machine learning. CAAI Trans. Intell. Technol. 8 (3) (2023)
Teo Susnjak, Paula Maddigan
Forecasting patient flows with pandemic induced concept drift using explainable machine learning. EPJ Data Sci. 12 (1) (2023)
Martin Brenner, Napoleon H. Reyes, Teo Susnjak, Andre L. C. Barczak
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review. CoRR (2023)
Paula Maddigan, Teo Susnjak
Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models. CoRR (2023)
Teo Susnjak
Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature. CoRR (2023)
Paula Maddigan, Teo Susnjak
Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models. IEEE Access 11 (2023)
Paula Maddigan, Teo Susnjak
Forecasting Patient Demand at Urgent Care Clinics using Machine Learning. CoRR (2022)
Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani
Supporting Students' Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics. Big Data Cogn. Comput. 6 (4) (2022)
Yiming Ren, Teo Susnjak
Predicting Football Match Outcomes with eXplainable Machine Learning and the Kelly Index. CoRR (2022)
Rory P. Bunker, Teo Susnjak
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review. J. Artif. Intell. Res. 73 (2022)
Teo Susnjak
ChatGPT: The End of Online Exam Integrity? CoRR (2022)
Rahila Umer, Teo Susnjak, Anuradha Mathrani, Suriadi Suriadi
Data quality challenges in educational process mining: building process-oriented event logs from process-unaware online learning systems. Int. J. Bus. Inf. Syst. 39 (4) (2022)
Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani
On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining. Big Data Cogn. Comput. 6 (1) (2022)
Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models. J. Big Data 9 (1) (2022)
Teo Susnjak, Paula Maddigan
Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning. CoRR (2022)
Teo Susnjak
A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling and onto Explainable AI with Prescriptive Analytics. CoRR (2022)
Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak
An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster. Big Data Cogn. Comput. 5 (4) (2021)
Nasim Ahmed, Andre L. C. Barczak, Mohammed A. Rashid, Teo Susnjak
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters. J. Big Data 8 (1) (2021)
Nasim Ahmed, Andre L. C. Barczak, Teo Susnjak, Mohammed A. Rashid
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench. J. Big Data 7 (1) (2020)
Vajisha Udayangi Wanniarachchi, Anuradha Mathrani, Teo Susnjak, Chris Scogings
A systematic literature review: What is the current stance towards weight stigmatization in social media platforms? Int. J. Hum. Comput. Stud. 135 (2020)
Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak
Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters. CoRR (2019)
Vajisha U. Wanniarachchi, Anuradha Mathrani, Teo Susnjak, Chris Scogings
Gendered objectification of weight stigma in social media: a mixed method analysis. ACIS (2019)
Rory P. Bunker, Teo Susnjak
The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review. CoRR (2019)
Timothy R. McIntosh, Julian Jang-Jaccard, Paul A. Watters, Teo Susnjak
The Inadequacy of Entropy-Based Ransomware Detection. ICONIP (5) (2019)
Timothy R. McIntosh, Julian Jang-Jaccard, Paul A. Watters, Teo Susnjak
Masquerade Attacks Against Security Software Exclusion Lists. Aust. J. Intell. Inf. Process. Syst. 16 (4) (2019)
Suriadi Suriadi, Teo Susnjak, Agate M. Ponder-Sutton, Paul A. Watters, Christoph Schumacher
Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand. Complex Syst. Informatics Model. Q. 9 (2016)
David Parsons, Teo Susnjak, Anuradha Mathrani
Design from detail: Analyzing data from a global day of coderetreat. Inf. Softw. Technol. 75 (2016)
Suriadi Suriadi, Teo Susnjak, Agate M. Ponder-Sutton, Paul A. Watters, Christoph Schumacher
Characterizing Problem Gamblers in New Zealand: A Novel Expression of Process Cubes. CAiSE Forum (2016)
Safar Alqahtani, Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Austen Ganley
Automatic alignment and comparison on images of petri dishes containing cell colonies. IVCNZ (2015)
David Parsons, Teo Susnjak, Anuradha Mathrani
The Software Developer Cycle: Career demographics and the market clock: or, is SQL the new COBOL? ASWEC (2) (2015)
Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak, A. Jordan
Fast and Smooth Replanning for Navigation in Partially Unknown Terrain: The Hybrid Fuzzy-D*lite Algorithm. RiTA (2015)
Teo Susnjak, David Kerry, Andre L. C. Barczak, Napoleon H. Reyes, Yaniv Gal
Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies. Australasian Conference on Artificial Intelligence (2015)
W. Wang, Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak, Peter Sincak
Multi-Behaviour Robot Control using Genetic Network Programming with Fuzzy Reinforcement Learning. RiTA (2014)
Andre L. C. Barczak, Teo Susnjak, Napoleon H. Reyes
Characterisation of the Discriminative Properties of the Radial Tchebichef Moments for Hand-written Digits. IVCNZ (2014)
David Parsons, Teo Susnjak, Manfred Lange
Influences on regression testing strategies in agile software development environments. Softw. Qual. J. 22 (4) (2014)
David Parsons, Anuradha Mathrani, Teo Susnjak, Arno Leist
Coderetreats: Reflective Practice and the Game of Life. IEEE Softw. 31 (4) (2014)
Andre L. C. Barczak, Teo Susnjak, Napoleon H. Reyes, Martin J. Johnson
Colour segmentation for multiple low dynamic range images using boosted cascaded classifiers. IVCNZ (2013)
Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
Coarse-to-fine multiclass learning and classification for time-critical domains. Pattern Recognit. Lett. 34 (8) (2013)
Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
Adaptive cascade of boosted ensembles for face detection in concept drift. Neural Comput. Appl. 21 (4) (2012)
Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
Multiclass Cascades for Ensemble-based Boosting Algorithms. STAIRS (2012)
Napoleon H. Reyes, Andre L. C. Barczak, Teo Susnjak
Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps. RiTA (2012)
Andre L. C. Barczak, Napoleon H. Reyes, Teo Susnjak, Martin J. Johnson
Real-time computation of moment invariants combined with contrast stretching. EUSIPCO (2011)
Teo Susnjak, Andre L. C. Barczak, Napoleon H. Reyes, Ken A. Hawick
A New Ensemble-Based Cascaded Framework for Multiclass Training with Simple Weak Learners. CAIP (1) (2011)
Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift. ICONIP (1) (2010)
Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick
A Modular Approach to Training Cascades of Boosted Ensembles. SSPR/SPR (2010)
Teo Susnjak, Andre L. C. Barczak
Accelerated Classifier Training Using the PSL Cascading Structure. ICONIP (1) (2008)