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Semantic ScholarPeter Vamplew
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- affiliation: University of Ballarat, Victoria, Australia
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2010 – today
- 2019
[c29]Armita Zarnegar, Herbert F. Jelinek, Peter Vamplew, Andrew Stranieri:
Integrating Biological Heuristics and Gene Expression Data for Gene Regulatory Network Inference. ACSW 2019: 37:1-37:10- 2018
- [j14]Peter Vamplew, Richard Dazeley, Cameron Foale, Sally Firmin, Jane Mummery:
Human-aligned artificial intelligence is a multiobjective problem. Ethics Inf. Technol. 20(1): 27-40 (2018) - [j13]Peter Vamplew, Richard Dazeley, Cameron Foale, Tanveer Choudhury:
Non-functional regression: A new challenge for neural networks. Neurocomputing 314: 326-335 (2018) - [c28]Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters:
Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA). PAKDD (Workshops) 2018: 137-141 - [c27]Ansam Khraisat, Iqbal Gondal, Peter Vamplew:
An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier. PAKDD (Workshops) 2018: 149-155 - 2017
- [j12]Leigh Achterbosch, Charlynn Miller, Peter Vamplew:
A taxonomy of griefer type by motivation in massively multiplayer online role-playing games. Behaviour & IT 36(8): 846-860 (2017) - [j11]Madalina M. Drugan, Marco Wiering, Peter Vamplew, Madhu Chetty:
Special issue on multi-objective reinforcement learning. Neurocomputing 263: 1-2 (2017) - [j10]Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale, Adam Berry, Tim Moore, Douglas C. Creighton:
Steering approaches to Pareto-optimal multiobjective reinforcement learning. Neurocomputing 263: 26-38 (2017) - [j9]Peter Vamplew, Richard Dazeley, Cameron Foale:
Softmax exploration strategies for multiobjective reinforcement learning. Neurocomputing 263: 74-86 (2017) - [c26]Vishakha Sharma, Andrew Stranieri, Julien Ugon, Peter Vamplew, Laura Martin:
An Agile Group Aware Process beyond CRISP-DM: A Hospital Data Mining Case Study. ICCDA 2017: 109-113 - [c25]Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters:
Evaluating Accuracy in Prudence Analysis for Cyber Security. ICONIP (5) 2017: 407-417 - 2016
- [c24]Armita Zanegar, Peter Vamplew, Andrew Stranieri, Herbert F. Jelinek:
A Heuristic Gene Regulatory Networks Model for Cardiac Function and Pathology. CinC 2016 - 2015
- [j8]Jin Wang, Chee Peng Lim, Douglas C. Creighton, Abbas Khosravi, Saeid Nahavandi, Julien Ugon, Peter Vamplew, Andrew Stranieri, Laura Martin, Anton Freischmidt:
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction. Neural Computing and Applications 26(2): 277-289 (2015) - [c23]Peter Vamplew, Rustam Issabekov, Richard Dazeley, Cameron Foale:
Reinforcement Learning of Pareto-Optimal Multiobjective Policies Using Steering. Australasian Conference on Artificial Intelligence 2015: 596-608 - 2014
- [i1]Diederik Marijn Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley:
A Survey of Multi-Objective Sequential Decision-Making. CoRR abs/1402.0590 (2014) - 2013
- [j7]Diederik M. Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley:
A Survey of Multi-Objective Sequential Decision-Making. J. Artif. Intell. Res. 48: 67-113 (2013) - [c22]Leigh Achterbosch, Charlynn Miller, Peter Vamplew:
Ganking, corpse camping and ninja looting from the perception of the MMORPG community: acceptable behavior or unacceptable griefing? IE 2013: 19:1-19:8 - 2012
- [j6]Rosemary Torney, Peter Vamplew, John Yearwood:
Using psycholinguistic features for profiling first language of authors. JASIST 63(6): 1256-1269 (2012) - [c21]Rustam Issabekov, Peter Vamplew:
An Empirical Comparison of Two Common Multiobjective Reinforcement Learning Algorithms. Australasian Conference on Artificial Intelligence 2012: 626-636 - [c20]Omaru Maruatona, Peter Vamplew, Richard Dazeley:
RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques. PKAW 2012: 188-194 - 2011
- [j5]Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov, Evan Dekker:
Empirical evaluation methods for multiobjective reinforcement learning algorithms. Machine Learning 84(1-2): 51-80 (2011) - [c19]Subhasis Mukherjee, John Yearwood, Peter Vamplew, Md. Shamsul Huda:
Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem. SNPD 2011: 24-30 - [e1]Peter Vamplew, Andrew Stranieri, Kok-Leong Ong, Peter Christen, Paul J. Kennedy:
Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, Australia, December 2011. CRPIT 121, Australian Computer Society 2011, ISBN 978-1-921770-02-9 [contents] - 2010
- [j4]Deanna J. Osman, John Yearwood, Peter Vamplew:
Automated opinion detection: Implications of the level of agreement between human raters. Inf. Process. Manage. 46(3): 331-342 (2010) - [c18]Richard Dazeley, Philip Warner, Scott Johnson, Peter Vamplew:
The Ballarat Incremental Knowledge Engine. PKAW 2010: 195-207
2000 – 2009
- 2009
- [j3]Deanna J. Osman, John Yearwood, Peter Vamplew:
Weblogs for market research: finding more relevant opinion documents using system fusion. Online Information Review 33(5): 873-888 (2009) - [c17]Armita Zarnegar, Peter Vamplew, Andrew Stranieri:
Inference of Gene Expression Networks Using Memetic Gene Expression Programming. ACSC 2009: 17-23 - [c16]Peter Vamplew, Richard Dazeley, Ewan Barker, Andrei V. Kelarev:
Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks. Australasian Conference on Artificial Intelligence 2009: 340-349 - [c15]John Yearwood, Dean Webb, Liping Ma, Peter Vamplew, Bahadorreza Ofoghi, Andrei V. Kelarev:
Applying Clustering and Ensemble Clustering Approaches to phishing Profiling. AusDM 2009: 25-34 - [p1]Robert Ollington, Peter Vamplew, John Swanson:
Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks. Constructive Neural Networks 2009: 207-224 - 2008
- [c14]Peter Vamplew, John Yearwood, Richard Dazeley, Adam Berry:
On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts. Australasian Conference on Artificial Intelligence 2008: 372-378 - [c13]Robert Layton, Peter Vamplew, Chris Turville:
Using Stereotypes to Improve Early-Match Poker Play. Australasian Conference on Artificial Intelligence 2008: 584-593 - [c12]Mofakharul Islam, John Yearwood, Peter Vamplew:
Unsupervised Segmentation of Industrial Images Using Markov Random Field Model. EIAT/IETA 2008: 369-374 - [c11]Mofakharul Islam, Peter Vamplew, John Yearwood:
MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model. EIAT/IETA 2008: 375-380 - 2007
- [c10]Deanna J. Osman, John Yearwood, Peter Vamplew:
Using Corpus Analysis to Inform Research into Opinion Detection in Blogs. AusDM 2007: 65-75 - [c9]Mofakharul Islam, John Yearwood, Peter Vamplew:
Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model. SCSS (1) 2007: 323-328 - [c8]Cameron Foale, Peter Vamplew:
Portal-based sound propagation for first-person computer games. IE 2007: 9 - 2006
- [j2]David Johnson, Vishv M. Malhotra, Peter Vamplew:
More Effective Web Search Using Bigrams and Trigrams. Webology 3(4) (2006) - [c7]Peter Vamplew, Robert Ollington, Mark Hepburn:
Enhanced Temporal Difference Learning Using Compiled Eligibility Traces. Australian Conference on Artificial Intelligence 2006: 141-150 - [c6]Adam Berry, Peter Vamplew:
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. GECCO 2006: 619-626 - 2005
- [j1]Robert Ollington, Peter Vamplew:
Concurrent Q-learning: Reinforcement learning for dynamic goals and environments. Int. J. Intell. Syst. 20(10): 1037-1052 (2005) - [c5]Peter Vamplew, Julian R. Dermoudy:
An Anti-Plagiarism Editor for Software Development Courses. ACE 2005: 83-90 - [c4]Peter Vamplew, Robert Ollington:
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning. Australian Conference on Artificial Intelligence 2005: 113-122 - [c3]Luke Temby, Peter Vamplew, Adam Berry:
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum. Australian Conference on Artificial Intelligence 2005: 1108-1111 - [c2]Adam Berry, Peter Vamplew:
The Combative Accretion Model - Multiobjective Optimisation Without Explicit Pareto Ranking. EMO 2005: 77-91 - [c1]Peter Vamplew, Robert Ollington:
On-Line Reinforcement Learning Using Cascade Constructive Neural Networks. KES (3) 2005: 562-568
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