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Anthony J. Bagnall
2000 – 2009
- 2009
[j9]Zhanna V. Zatuchna, Anthony J. Bagnall: Learning Mazes with Aliasing States: An LCS Algorithm with Associative Perception. Adaptive Behaviour 17(1): 28-57 (2009)- [j8]Zhanna V. Zatuchna, Anthony J. Bagnall: A learning classifier system for mazes with aliasing clones. Natural Computing 8(1): 57-99 (2009)
- 2007
- [j7]Anthony J. Bagnall, Gavin C. Cawley, Ian Whittley, Larry Bull, Matthew Studley, Mike Pettipher, Firat Tekiner: Super Computer Heterogeneous Classifier Meta-Ensembles. IJDWM 3(2): 67-82 (2007)
- [j6]Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian Whittley: Learning Classifier System Ensembles With Rule-Sharing. IEEE Trans. Evolutionary Computation 11(4): 496-502 (2007)
- [c13]Iain Toft, Anthony J. Bagnall: Adaptive Sniping for Volatile and Stable Continuous Double Auction Markets. AMEC/TADA 2007: 119-134
- 2006
- [j5]Anthony J. Bagnall, Iain Toft: Autonomous Adaptive Agents for Single Seller Sealed Bid Auctions. Autonomous Agents and Multi-Agent Systems 12(3): 259-292 (2006)
- [j4]Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Stefano Lonardi, Gareth J. Janacek: A Bit Level Representation for Time Series Data Mining with Shape Based Similarity. Data Min. Knowl. Discov. 13(1): 11-40 (2006)
- [c12]Anthony J. Bagnall, Ian Whittley, Gareth J. Janacek, Kate Kemsley, Matthew Studley, Larry Bull: A Comparison of DWT/PAA and DFT for Time Series Classification. DMIN 2006: 403-409
- [c11]Anthony J. Bagnall, Ian Whittley, Matthew Studley, Mike Pettipher, Firat Tekiner, Larry Bull: Variance Stabilizing Regression Ensembles for Environmental Models. IJCNN 2006: 5355-5361
- 2005
- [j3]Anthony J. Bagnall, Gareth J. Janacek: Clustering Time Series with Clipped Data. Machine Learning 58(2-3): 151-178 (2005)
- [j2]Anthony J. Bagnall, George D. Smith: A multiagent model of the UK market in electricity generation. IEEE Trans. Evolutionary Computation 9(5): 522-536 (2005)
- [c10]Larry Bull, Matthew Studley, Anthony J. Bagnall, Ian Whittley: On the use of rule-sharing in learning classifier system ensembles. Congress on Evolutionary Computation 2005: 612-617
- [c9]Zhanna V. Zatuchna, Anthony J. Bagnall: AgentP classifier system: self-adjusting vs. gradual approach. Congress on Evolutionary Computation 2005: 1196-1203
- [c8]Gareth J. Janacek, Anthony J. Bagnall, M. Powell: A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series. PAKDD 2005: 737-743
- [c7]Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh, Anthony J. Bagnall, Stefano Lonardi: A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering. PAKDD 2005: 771-777
- 2004
- [c6]Abdul A. Gill, George D. Smith, Anthony J. Bagnall: Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling. IDEAL 2004: 339-344
- [c5]Anthony J. Bagnall, Gareth J. Janacek: Clustering time series from ARMA models with clipped data. KDD 2004: 49-58
- 2003
- [c4]Anthony J. Bagnall, Iain Toft: An Agent Model for First Price and Second Price Private Value Auctions. Artificial Evolution 2003: 281-292
- 2001
- [j1]Anthony J. Bagnall, Victor J. Rayward-Smith, Ian Whittley: The next release problem. Information & Software Technology 43(14): 883-890 (2001)
- 2000
- [c3]Anthony J. Bagnall: A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in Electricity. GECCO 2000: 605-612
1990 – 1999
- 1999
- [c2]Anthony J. Bagnall, George D. Smith: Using an Adaptive Agent to Bid in a Simplified Model of the UK Market in Electricity. GECCO 1999: 774
- 1997
- [c1]Anthony J. Bagnall, Geoff P. McKeown, Victor J. Rayward-Smith: The Cryptanalysis of a Three Rotor Machine Using a Genetic Algorithm. ICGA 1997: 712-718
Coauthor Index
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last updated on 2013-05-23 22:17 CEST by the dblp team