Publications of A. J. Bagnall


Bibtex File


The Official Database is probably more up to date (but less accurate!)

Journal Papers

  • A. J. Bagnall, C. Ratanamahatana, E. Keogh, S. Lonardi and G. J. Janacek, A bit level representation for time series data mining with shape based similarity , Mining and Knowledge Discovery Journal, Published online: 12 May 2006 PDF
  • A. J. Bagnall and I. Toft, Autonomous Adaptive Agents for Single Seller Sealed Bid Auctions, Journal of Autonomous Agents and Multi-Agent Systems, Vol 12, Issue 3, Pages: 259 - 292, May 2006 PDF
  • A. J. Bagnall and G. D. Smith, A Multi-Agent Model of the UK Market in Electricity Generation , IEEE Transactions on Evolutionary Computation, 9(5), October 2005 PDF
  • A. J. Bagnall and G.A. Janacek, Clustering Time Series with Clipped Data, Machine Learning, vol 58(2) p. 151-178 (2005) PDF
  • A. J. Bagnall, V. J. Rayward-Smith and I. M. Whittley, (2001), The Next Release Problem, Information and Software Technology, Vol. 43, 14, p. 883-890

    Conference Papers

  • I.M. Whittley, A.J. Bagnall, L. Bull, M. Pettipher, M. Studley and F. Tekiner Attribute Selection Methods for Filtered Attribute Subspace based Bagging with Injected Randomness (FASBIR), In Feature Selection for Data Mining Workshop, Part of the 2006 SIAM Conference on Data Mining, 2006.
  • Z. Zatucchna and Bagnall, A.J., A Reinforcement Learning Agent with Associative Perception, In Symposium on Associative Learning and Reinforcement Learning at Adaptation in Artificial and Biological Systems, 2006.
  • Z. Zatucchna and Bagnall, A.J., Modelling of Temperament in an Associative Reinforcement Learning , In Symposium on Associative Learning and Reinforcement Learning at Adaptation in Artificial and Biological Systems, 2006
  • Z. Zatucchna and A. J. Bagnall, AgentP Classifier System: Self-adjusting vs. Gradual Approach Proceedings of the 2005 Congress on Evolutionary Computation
  • Z. Bull, M. Studley, A. J. Bagnall and I. Whittley, On the use of Rule Sharing in Learning Classifier System Ensembles h Proceedings of the 2005 Congress on Evolutionary Computation
  • A. J. Bagnall and G.A. Janacek, A Likelihood Ratio distance Measure for the Similarity between the Fourier Transform of Time Series accepted for the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-05) PDF
  • C. Ratanamahatana, E. Keogh, A. J. Bagnall, S. Lonardi. A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering Accepted for the Ninth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-05) Word Doc
  • A. J. Bagnall and Z. Zatuchna, On the Classification of Maze Problems , Bull, L. & Kovacs, T. (eds) (2005) Foundations of Learning Classifier Systems, Lecture Notes in Artificial Intelligence. Springer
  • A. J. Bagnall and I. Toft Zero Intelligence Plus and Gjerstad-Dickhaut Agents for Sealed Bid Auctions, Workshop on Trading Agent Design and Analysis, part of the Third Internationmal Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004),New York, USA, 19th-23rd July, 2004, pages 59-64 PDF
  • A. J. Bagnall and G. Janakec Clustering Time Series from ARMA Models with Clipped Data, Proceedings of the International Conference on Knowledge Discovery in Data and Data Mining (ACM SIGKDD 2004), Seattle, USA, 22nd-25th August, 2004, pages 49-58 PDF
  • A.A. Gill, G. D. Smith and A. J. Bagnall Improving decision tree performance through induction and cluster-based stratified sampling, Proceedings of Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04)), 2004,
  • A. J. Bagnall and G. Janakec Clustering Time Series from ARMA Models with Clipped Data, Technical Report CMP-C04-01, School of Computing Sciences, University of East Anglia, February 2004. PDF
  • A. J. Bagnall, G. Janakec, B. de la Iglesia and M. Zhang Clustering Time Series from Mixture Polynomial Models with Discretised Data, Proceedings of the second Australasian Data Mining Workshop, December  2003. PDF
  • A. J. Bagnall, G. Janakec, B. de la Iglesia and M. Zhang Clustering Time Series from Mixture Polynomial Models with Discretised Data, Technical Report CMP-C03-17, School of Computing Sciences, University of East Anglia, September 2003. PDF
  • A. J. Bagnall and I. Toft An Agent Model for First Price and Second Price Private Value Auctions , in Proceedings of the 6th International Conference on Artificial Evolution, 2003 PDF
  • A. J. Bagnall and G. C. Cawley Learning classifier systems for data mining : A comparison of XCS with other classifiers for the Forest Cover dataset,In Proceedings of the IEEE/INNS International Joint Conference on Artificial Neural Networks (IJCNN-2003), Portland, Oregon, USA, 20th-24th July, 2003. compressed postscript , PDF
  • A. J. Bagnall Modelling the UK market in electricity generation with autonomous adaptive agents PhD thesis, September 2000. compressed postscript , PDF
  • A. J. Bagnall and G. D. Smith, Game playing with autonomous adaptive agents in a simplified economic model of the UK market in electricity generation In Proceedings of IEEE-PES / CSEE International Conference on Power System Technology (Powercon 2000), Perth, Australia, 1st-5th December, 2000. compressed postscript, PDF
  • A. J. Bagnall, A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in Electricity, In Proceedings of the AAAI Genetic and Evolutionary Computation Conference (GECCO-2000), pages 605-612, 2000, Morgan Kaufmann: San Francisco, CA,
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  • A. J. Bagnall and G. D. Smith, An Adaptive Agent Model for Generator Company Bidding in the UK Power Pool , Lecture Notes in Computer Science 1829, pages 191-203, 1999
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  • A. J. Bagnall and G. D. Smith, Using an Adaptive Agent to Bid in a Simplified Model of the UK Market in Electricity , Proceedings of Genetic and Evolutionary Computation Conference, 1999
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  • A. J. Bagnall, G. P. McKeown and V. J. Rayward-Smith, ,Cryptanalysis of a Three Rotor Machine Using a Genetic Algorithm,Proceedings of the Seventh International Conference on Genetic Algorithms,1997
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  • A. J. Bagnall, The Applications of Genetic Algorithms in Cryptanalysis Masters Thesis
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