Teo Susnjak
Teo Susnjak
Lecturer of Information Technology, Massey University Albany, New Zealand
Verified email at massey.ac.nz
TitleCited byYear
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
612011
Influences on regression testing strategies in agile software development environments
D Parsons, T Susnjak, M Lange
Software Quality Journal, 1-23, 2013
142013
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
102012
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
82011
Accelerating classifier training using AdaBoost within cascades of boosted ensembles
T Susnjak
Science in Computer Sciences, Massey University, Auckland, New Zealand, 2009
72009
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
52018
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
52016
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
42017
Coderetreats: Reflective practice and the game of life
D Parsons, A Mathrani, T Susnjak, A Leist
IEEE software 31 (4), 58-64, 2014
42014
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
42013
A reconfigurable hybrid intelligent system for robot navigation
NH Reyes, ALC Barczak, T Susnjak
Massey University, 2011
32011
A new ensemble-based cascaded framework for multiclass training with simple weak learners
T Susnjak, A Barczak, N Reyes, K Hawick
Computer Analysis of Images and Patterns, 563-570, 2011
32011
Adaptive ensemble based learning in non-stationary environments with variable concept drift
T Susnjak, A Barczak, K Hawick
Neural Information Processing. Theory and Algorithms, 438-445, 2010
32010
A modular approach to training cascades of boosted ensembles
T Susnjak, A Barczak, K Hawick
Structural, syntactic, and statistical pattern recognition, 640-649, 2010
32010
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
22017
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
22016
Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies
T Susnjak, D Kerry, A Barczak, N Reyes, Y Gal
Australasian Joint Conference on Artificial Intelligence, 526-538, 2015
22015
Real-time fuzzy logic-based hybrid robot path-planning strategies for a dynamic environment
NH Reyes, ALC Barczak, T Susnjak, P SinčŠk, J VaščŠk
Robotics: Concepts, Methodologies, Tools, and Applications, 1545-1571, 2014
22014
Tuning fuzzy-based hybrid navigation systems using calibration maps
NH Reyes, ALC Barczak, T Susnjak
Robot Intelligence Technology and Applications 2012, 713-722, 2013
22013
Study of a copper capacitive MEMS as a sensor for automotive fuel evaluation
LGD MendonÁa, B Barazani, BB Chaves, D Torikai, RC Ibrahim, ...
Proc. ABCM Symp. Ser. Mechatron. 5, 1400-1408, 2012
22012
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Articles 1–20