Teo Susnjak

Orcid: 0000-0001-9416-1435

According to our database1, Teo Susnjak authored at least 66 papers between 2008 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration.
ACM Comput. Surv., January, 2025

2024
A Reasoning and Value Alignment Test to Assess Advanced GPT Reasoning.
ACM Trans. Interact. Intell. Syst., September, 2024

The Inadequacy of Reinforcement Learning From Human Feedback - Radicalizing Large Language Models via Semantic Vulnerabilities.
IEEE Trans. Cogn. Dev. Syst., August, 2024

A Culturally Sensitive Test to Evaluate Nuanced GPT Hallucination.
IEEE Trans. Artif. Intell., June, 2024

Beyond Predictive Learning Analytics Modelling and onto Explainable Artificial Intelligence with Prescriptive Analytics and ChatGPT.
Int. J. Artif. Intell. Educ., June, 2024

Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study.
CoRR, 2024

Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks.
CoRR, 2024

Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence.
CoRR, 2024

Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning.
CoRR, 2024

From COBIT to ISO 42001: Evaluating Cybersecurity Frameworks for Opportunities, Risks, and Regulatory Compliance in Commercializing Large Language Models.
CoRR, 2024

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence.
CoRR, 2024

From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models.
Comput. Secur., 2024

2023
Forecasting patient flows with pandemic induced concept drift using explainable machine learning.
EPJ Data Sci., December, 2023

Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation.
Comput. Secur., November, 2023

Forecasting patient demand at urgent care clinics using explainable machine learning.
CAAI Trans. Intell. Technol., September, 2023

Current stance on predictive analytics in higher education: opportunities, challenges and future directions.
Interact. Learn. Environ., August, 2023

Use of Predictive Analytics within Learning Analytics Dashboards: A Review of Case Studies.
Technol. Knowl. Learn., 2023

Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels.
J. Learn. Anal., 2023

From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape.
CoRR, 2023

Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged Care.
CoRR, 2023

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

Chat2VIS: Fine-Tuning Data Visualisations using Multilingual Natural Language Text and Pre-Trained Large Language Models.
CoRR, 2023

Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature.
CoRR, 2023

Chat2VIS: Generating Data Visualisations via Natural Language using ChatGPT, Codex and GPT-3 Large Language Models.
CoRR, 2023

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., 2023

Chat2VIS: Generating Data Visualizations via Natural Language Using ChatGPT, Codex and GPT-3 Large Language Models.
IEEE Access, 2023

RGB-D and Thermal Sensor Fusion: A Systematic Literature Review.
IEEE Access, 2023

2022
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models.
J. Big Data, 2022

The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review.
J. Artif. Intell. Res., 2022

Data quality challenges in educational process mining: building process-oriented event logs from process-unaware online learning systems.
Int. J. Bus. Inf. Syst., 2022

ChatGPT: The End of Online Exam Integrity?
CoRR, 2022

Predicting Football Match Outcomes with eXplainable Machine Learning and the Kelly Index.
CoRR, 2022

A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling and onto Explainable AI with Prescriptive Analytics.
CoRR, 2022

Forecasting Patient Demand at Urgent Care Clinics using Machine Learning.
CoRR, 2022

Supporting Students' Academic Performance Using Explainable Machine Learning with Automated Prescriptive Analytics.
Big Data Cogn. Comput., 2022

On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining.
Big Data Cogn. Comput., 2022

2021
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters.
J. Big Data, 2021

An Enhanced Parallelisation Model for Performance Prediction of Apache Spark on a Multinode Hadoop Cluster.
Big Data Cogn. Comput., 2021

2020
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench.
J. Big Data, 2020

A systematic literature review: What is the current stance towards weight stigmatization in social media platforms?
Int. J. Hum. Comput. Stud., 2020

2019
The Application of Machine Learning Techniques for Predicting Results in Team Sport: A Review.
CoRR, 2019

Assessment of the Local Tchebichef Moments Method for Texture Classification by Fine Tuning Extraction Parameters.
CoRR, 2019

Masquerade Attacks Against Security Software Exclusion Lists.
Aust. J. Intell. Inf. Process. Syst., 2019

The Inadequacy of Entropy-Based Ransomware Detection.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Gendered objectification of weight stigma in social media: a mixed method analysis.
Proceedings of the Australasian Conference on Information Systems, 2019

2016
Design from detail: Analyzing data from a global day of coderetreat.
Inf. Softw. Technol., 2016

Using Data-Driven and Process Mining Techniques for Identifying and Characterizing Problem Gamblers in New Zealand.
Complex Syst. Informatics Model. Q., 2016

Characterizing Problem Gamblers in New Zealand: A Novel Expression of Process Cubes.
Proceedings of the CAiSE'16 Forum, 2016

2015
Fast and Smooth Replanning for Navigation in Partially Unknown Terrain: The Hybrid Fuzzy-D*lite Algorithm.
Proceedings of the Robot Intelligence Technology and Applications 4, 2015

Automatic alignment and comparison on images of petri dishes containing cell colonies.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

The Software Developer Cycle: Career demographics and the market clock: or, is SQL the new COBOL?
Proceedings of the 24th Australasian Software Engineering Conference, 2015

2014
Influences on regression testing strategies in agile software development environments.
Softw. Qual. J., 2014

Coderetreats: Reflective Practice and the Game of Life.
IEEE Softw., 2014

Multi-Behaviour Robot Control using Genetic Network Programming with Fuzzy Reinforcement Learning.
Proceedings of the Robot Intelligence Technology and Applications 3, 2014

Characterisation of the Discriminative Properties of the Radial Tchebichef Moments for Hand-written Digits.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

2013
Coarse-to-fine multiclass learning and classification for time-critical domains.
Pattern Recognit. Lett., 2013

Colour segmentation for multiple low dynamic range images using boosted cascaded classifiers.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

2012
Adaptive cascade of boosted ensembles for face detection in concept drift.
Neural Comput. Appl., 2012

Multiclass Cascades for Ensemble-based Boosting Algorithms.
Proceedings of the STAIRS 2012, 2012

Tuning Fuzzy-Based Hybrid Navigation Systems Using Calibration Maps.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

2011
Real-time computation of moment invariants combined with contrast stretching.
Proceedings of the 19th European Signal Processing Conference, 2011

A New Ensemble-Based Cascaded Framework for Multiclass Training with Simple Weak Learners.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
A Modular Approach to Training Cascades of Boosted Ensembles.
Proceedings of the Structural, 2010

Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2008
Accelerated Classifier Training Using the PSL Cascading Structure.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008


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