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Teo Sušnjak
Teo Sušnjak
Senior Lecturer in Computer Science and IT, Massey University, New Zealand
Verified email at massey.ac.nz - Homepage
Title
Cited by
Cited by
Year
ChatGPT: The end of online exam integrity?
T Susnjak
arXiv preprint arXiv:2212.09292, 2022
4612022
A new 2D static hand gesture colour image dataset for asl gestures
ALC Barczak, NH Reyes, M Abastillas, A Piccio, T Susnjak
Res Lett Inf Math Sci 15, 12-20, 2011
1922011
Chat2vis: Generating data visualisations via natural language using chatgpt, codex and gpt-3 large language models
P Maddigan, T Susnjak
IEEE Access, 2023
1172023
Learning analytics dashboard: a tool for providing actionable insights to learners
T Susnjak, GS Ramaswami, A Mathrani
International Journal of Educational Technology in Higher Education 19 (1), 12, 2022
1062022
The application of machine learning techniques for predicting match results in team sport: A review
R Bunker, T Susnjak
Journal of Artificial Intelligence Research 73, 1285-1322, 2022
942022
On predicting academic performance with process mining in learning analytics
R Umer, T Susnjak, A Mathrani, S Suriadi
Journal of Research in Innovative Teaching & Learning 10 (2), 160-176, 2017
832017
A comprehensive performance analysis of Apache Hadoop and Apache Spark for large scale data sets using HiBench
N Ahmed, ALC Barczak, T Susnjak, MA Rashid
Journal of Big Data 7 (1), 110, 2020
792020
The inadequacy of entropy-based ransomware detection
T McIntosh, J Jang-Jaccard, P Watters, T Susnjak
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019
752019
A culturally sensitive test to evaluate nuanced gpt hallucination
TR McIntosh, T Liu, T Susnjak, P Watters, A Ng, MN Halgamuge
IEEE Transactions on Artificial Intelligence, 2023
692023
From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape
TR McIntosh, T Susnjak, T Liu, P Watters, MN Halgamuge
arXiv preprint arXiv:2312.10868, 2023
562023
Inadequacies of large language model benchmarks in the era of generative artificial intelligence
TR McIntosh, T Susnjak, T Liu, P Watters, MN Halgamuge
arXiv preprint arXiv:2402.09880, 2024
512024
Using educational data mining techniques to increase the prediction accuracy of student academic performance
G Ramaswami, T Susnjak, A Mathrani, J Lim, P Garcia
Information and Learning Sciences 120 (7/8), 451-467, 2019
492019
Harnessing GPT-4 for generation of cybersecurity GRC policies: A focus on ransomware attack mitigation
T McIntosh, T Liu, T Susnjak, H Alavizadeh, A Ng, R Nowrozy, P Watters
Computers & security 134, 103424, 2023
392023
A systematic literature review: What is the current stance towards weight stigmatization in social media platforms?
VU Wanniarachchi, A Mathrani, T Susnjak, C Scogings
International Journal of Human-Computer Studies 135, 102371, 2020
372020
Beyond predictive learning analytics modelling and onto explainable artificial intelligence with prescriptive analytics and ChatGPT
T Susnjak
International Journal of Artificial Intelligence in Education, 1-31, 2023
33*2023
Applying bert and chatgpt for sentiment analysis of lyme disease in scientific literature
T Susnjak
Borrelia burgdorferi: Methods and Protocols, 173-183, 2024
302024
Perspectives on the challenges of generalizability, transparency and ethics in predictive learning analytics
A Mathrani, T Susnjak, G Ramaswami, A Barczak
Computers and Education Open 2, 100060, 2021
302021
A learning analytics approach: Using online weekly student engagement data to make predictions on student performance
R Umer, T Susnjak, A Mathrani, S Suriadi
2018 International conference on computing, electronic and electrical …, 2018
292018
On developing generic models for predicting student outcomes in educational data mining
G Ramaswami, T Susnjak, A Mathrani
Big Data and Cognitive Computing 6 (1), 6, 2022
282022
Influences on regression testing strategies in agile software development environments
D Parsons, T Susnjak, M Lange
Software Quality Journal, 1-23, 2013
252013
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