Peter Vamplew
Peter Vamplew
Associate Professor, Information Technology, Federation University Australia
Verified email at - Homepage
Cited by
Cited by
A Survey of Multi-Objective Sequential Decision-Making
DM Roijers, P Vamplew, S Whiteson, R Dazeley
Journal of Artificial Intelligence Research 48, 67-113, 2013
Survey of intrusion detection systems: techniques, datasets and challenges
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman
Cybersecurity 2 (1), 1-22, 2019
Empirical evaluation methods for multiobjective reinforcement learning algorithms
P Vamplew, R Dazeley, A Berry, R Issabekov, E Dekker
Machine learning, 1-30, 2011
Recognition of sign language gestures using neural networks
P Vamplew, A Adams
Australian Journal of Intelligent Information Processing Systems 5 (2), 94-102, 1998
On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts
P Vamplew, J Yearwood, R Dazeley, A Berry
AI 2008: Advances in Artificial Intelligence, 372-378, 2008
Human-aligned artificial intelligence is a multiobjective problem
P Vamplew, R Dazeley, C Foale, S Firmin, J Mummery
Ethics and Information Technology 20 (1), 27-40, 2018
An anti-plagiarism editor for software development courses
P Vamplew, J Dermoudy
Proceedings of the 7th Australasian conference on Computing education-Volume …, 2005
Constructing stochastic mixture policies for episodic multiobjective reinforcement learning tasks
P Vamplew, R Dazeley, E Barker, A Kelarev
AI 2009: Advances in Artificial Intelligence, 340-349, 2009
Applying clustering and ensemble clustering approaches to phishing profiling
J Yearwood, D Webb, L Ma, P Vamplew, B Ofoghi, A Kelarev
Eighth Australasian Data Mining Conference, AusDM, 25-34, 2009
A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, A Alazab
Electronics 8 (11), 1210, 2019
A multi-objective deep reinforcement learning framework
TT Nguyen, ND Nguyen, P Vamplew, S Nahavandi, R Dazeley, CP Lim
Engineering Applications of Artificial Intelligence 96, 103915, 2020
Recognition of sign language using neural networks
P Vamplew
University of Tasmania, 1996
A Comparative Study of Various Data Mining Techniques as applied to the Modeling of Landslide Susceptibility on the Bellarine Peninsula, Victoria, Australia
AS Miner, P Vamplew, DJ Windle, P Flentje, P Warner
Generalised algorithms for redirected walking in virtual environments
T Field, P Vamplew
AISAT2004: International Conference on Artificial Intelligence in Science …, 2004
Accelerating real-valued genetic algorithms using mutation-with-momentum
L Temby, P Vamplew, A Berry
Australasian Joint Conference on Artificial Intelligence, 1108-1111, 2005
Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine
A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, A Alazab
Electronics 9 (1), 173, 2020
Softmax exploration strategies for multiobjective reinforcement learning
P Vamplew, R Dazeley, C Foale
Neurocomputing 263, 74-86, 2017
A polynomial ring construction for the classification of data
AV Kelarev, JL Yearwood, PW Vamplew
Bulletin of the Australian Mathematical Society 79 (02), 213-225, 2009
Ganking, corpse camping and ninja looting from the perception of the MMORPG community: acceptable behavior or unacceptable griefing?
L Achterbosch, C Miller, P Vamplew
Proceedings of The 9th Australasian Conference on Interactive Entertainment …, 2013
More effective web search using bigrams and trigrams
D Johnson, V Malhotra, P Vamplew
Webology 3 (4), 35, 2006
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