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Number of items: 18.

Article

O'Dowd, P., Studley, M. and Winfield, A. F. (2014) The distributed co-evolution of an on-board simulator and controller for swarm robot behaviours. Evolutionary Intelligence, 7 (2). pp. 95-106. ISSN 1864-5909

Harries, T., Rettie, R., Burchell, K. and Studley, M. (2013) Is social norms marketing effective?: A case study in domestic electricity consumption. European Journal of Marketing, 47 (9). pp. 1458-1475. ISSN 0309-0566

Studley, M., Rocks, C. and McGoran, D. (2009) Engaging the public with a hybrid puppet. PerAda Magazine - towards pervasive adaptation. pp. 1-3.

Rocks, C., Jenkins, S., Studley, M. and McGoran, D. (2009) Heart robot: a public engagement project. Interaction Studies, 10 (3). pp. 427-452. ISSN 1572-0373

Bull, L., Studley, M., Bagnall, A. and Whittley, I. (2007) Accuracy-based learning classifier system ensembles with rule-sharing. IEEE Transactions on Evolutionary Computation, 11 (4). pp. 496-502. ISSN 1089-778X

Studley, M., Bagnall, A. J., Bull, L. and Whittley, I. M. (2007) Super computer heterogeneous classifier meta-ensembles. International Journal of Data Warehousing and Mining, 3 (2). pp. 67-82. ISSN 1548-3924

Studley, M. and Bull, L. (2007) Using the XCS classifier system for multi-objective reinforcement learning problems. Artificial Life, 13 (1). pp. 69-86. ISSN 1064-5462

Bull, L., Studley, M., Bagnall, A. and Whittley, I. (2007) Learning classifier system ensembles with rule-sharing. IEEE Transactions on Evolutionary Computation, 11 (4). pp. 496-502. ISSN 1089-778X

Studley, M. and Bull, L. (2005) X-TCS: Accuracy-based learning classifier system robotics. 2005 IEEE Congress on Evolutionary Computation, 3. pp. 2099-2106.

Book Section

O'Dowd, P., Winfield, A. F. and Studley, M. (2010) Towards accelerated distributed evolution for adaptive behaviours in swarm robotics. In: Belpaeme, T., Bugmann, G., Melhuish, C. and Witkowski, M., eds. (2010) Proceedings of Towards Autonomous Robotic Systems 2010. University of Plymouth, pp. 169-175. ISBN 9781841022635

Bull, L. and Studley, M. (2002) Consideration of multiple objectives in neural learning classifier systems. In: Merelo, J. J., Adamidis, P. and Beyer, H.-G., eds. (2002) Parallel Problem Solving from Nature—PPSN VII. http://dx.doi.org/10.1007/3-540-45712-7_53: Springer, pp. 549-557. ISBN 9783540441397

Report or Working Paper

Tekiner, F., Pettipher, M., Bull, L., Studley, M., Whittley, I. and Bagnall, T. (2010) Parallel data mining-case study. Technical Report. University of Manchester.

Conference or Workshop Item

O'Dowd, P., Winfield, A. F. and Studley, M. (2011) The distributed co-evolution of an embodied simulator and controller for swarm robot behaviours. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, USA, 25th - 30th September, 2011., pp. 4995-5000

Studley, M., Chambers, S., Rettie, R. and Burchell, K. (2011) Gathering and presenting social feedback to change domestic electricity consumption. In: SIGCHI 2011, Vancouver, Canada, 7th - 12th May, 2011.

Rettie, R., Studley, M. and Barnham, C. (2009) CHARM: social norms marketing for energy efficiency. In: First European Conference on Energy Efficiency and Behaviour 2009: Connecting Policy, Theory and Practice, Maastricht, The Netherlands, 18th-20th October, 2009.

Bagnall, A. J., Whittley, I. M., Janacek, G. J., Kemsley, K., Studley, M. and Bull, L. (2006) A comparison of DWT/PAA and DFT for time series classification. In: International Conference on Data Mining, (DMIN '06), Las Vegas, US, 26th - 29th June, 2006. US: CSREA Press, pp. 403-409

Whittley, I., Bagnall, A., Bull, L., Pettipher, M., Studley, M. and Tekiner, F. (2005) Attribute selection methods for filtered attribute subspace based bagging with injected randomness (FASBIR). In: 2005 SIAM International Conference on Data Mining, Newport Beach, California, April 23, 2005. Newport Beach, California: UNSPECIFIED, p. 10

Bull, L., Studley, M., Bagnall, T. and Whittley, I. (2005) On the use of rule-sharing in learning classifier system ensembles. In: The 2005 IEEE Congress on Evolutionary Computation, 2005., pp. 612-617

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