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 | 122 | 2011 |
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 | 41 | 2017 |
The inadequacy of entropy-based ransomware detection T McIntosh, J Jang-Jaccard, P Watters, T Susnjak International conference on neural information processing, 181-189, 2019 | 31 | 2019 |
Influences on regression testing strategies in agile software development environments D Parsons, T Susnjak, M Lange Software Quality Journal, 1-23, 2013 | 22 | 2013 |
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 | 20 | 2019 |
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), 1-18, 2020 | 19 | 2020 |
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 | 19 | 2018 |
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 | 17 | 2020 |
The application of machine learning techniques for predicting results in team sport: a review R Bunker, T Susnjak arXiv preprint arXiv:1912.11762, 2019 | 17 | 2019 |
Analysis of feature invariance and discrimination for hand images: Fourier descriptors versus moment invariants ALC Barczak, A Gilman, NH Reyes, T Susnjak International conference image and vision computing New Zealand IVCNZ2011, 2011 | 12 | 2011 |
Mining activity log data to predict student's outcome in a course R Umer, A Mathrani, T Susnjak, S Lim proceedings of the 2019 international conference on big data and education …, 2019 | 11 | 2019 |
Adaptive cascade of boosted ensembles for face detection in concept drift T Susnjak, ALC Barczak, KA Hawick Neural Computing & Applications 21 (4), 671-682, 2012 | 11 | 2012 |
A decomposition machine-learning strategy for automated fruit grading T Susnjak, A Barczak, N Reyes Proceedings of the World Congress on Engineering and Computer Science 2, 2013 | 8 | 2013 |
Accelerating classifier training using AdaBoost within cascades of boosted ensembles T Susnjak Science in Computer Sciences, Massey University, Auckland, New Zealand, 2009 | 8 | 2009 |
Prediction of students’ dropout in MOOC environment R Umer, T Susnjak, A Mathrani, S Suriadi International Journal of Knowledge Engineering 3 (2), 43-47, 2017 | 7 | 2017 |
Using data-driven and process mining techniques for identifying and characterizing problem gamblers in New Zealand S Suriadi, T Susnjak, A Ponder-Sutton, P Watters, CR Schumacher RTU Press, 2016 | 7 | 2016 |
Coderetreats: Reflective practice and the game of life D Parsons, A Mathrani, T Susnjak, A Leist IEEE software 31 (4), 58-64, 2014 | 7 | 2014 |
Fast and smooth replanning for navigation in partially unknown terrain: the hybrid fuzzy-D* lite algorithm NH Reyes, ALC Barczak, T Susnjak, A Jordan Robot Intelligence Technology and Applications 4, 31-41, 2017 | 5 | 2017 |
Design from detail: Analyzing data from a global day of coderetreat D Parsons, T Susnjak, A Mathrani Information and Software Technology 75, 39-55, 2016 | 4 | 2016 |
A parallelization model for performance characterization of Spark Big Data jobs on Hadoop clusters N Ahmed, ALC Barczak, MA Rashid, T Susnjak Journal of Big Data 8 (1), 1-28, 2021 | 3 | 2021 |