| Wordnet-based text document clustering J Sedding, D Kazakov Proceedings of the 3rd workshop on RObust Methods in Analysis of Natural …, 2004 | 228 | 2004 |
| Machine learning and inductive logic programming for multi-agent systems D Kazakov, D Kudenko ECCAI Advanced Course on Artificial Intelligence, 246-270, 2001 | 70 | 2001 |
| Deep reinforcement learning based parameter control in differential evolution M Sharma, A Komninos, M López-Ibáñez, D Kazakov Proceedings of the genetic and evolutionary computation conference, 709-717, 2019 | 67 | 2019 |
| Unsupervised learning of word segmentation rules with genetic algorithms and inductive logic programming D Kazakov, S Manandhar Machine Learning 43, 121-162, 2001 | 55 | 2001 |
| Unsupervised learning of naive morphology with genetic algorithms D Kazakov Workshop Notes of the ECML/MLnet workshop on empirical learning of Natural …, 1997 | 55 | 1997 |
| Adaptive agents and multi-agent systems: adaptation and multi-agent learning E Alonso, D Kudenko, D Kazakov Springer, 2003 | 40 | 2003 |
| A hybrid approach to word segmentation D Kazakov, S Manandhar International Conference on Inductive Logic Programming, 125-134, 1998 | 34 | 1998 |
| Moving nature-inspired algorithms to parallel, asynchronous and decentralised environments E Ridge, D Kudenko, D Kazakov, E Curry Frontiers in Artificial Intelligence and Applications 135, 35, 2005 | 28 | 2005 |
| Sax discretization does not guarantee equiprobable symbols M Butler, D Kazakov IEEE Transactions on Knowledge and Data Engineering 27 (4), 1162-1166, 2014 | 27 | 2014 |
| ILPNET repositories on WWW: Inductive Logic Programming systems, datasets and bibliography N Lavrač, I Weber, D Zupanič, D Kazakov, O Štěpánková, S Džeroski AI Communications 9 (4), 157-206, 1996 | 26 | 1996 |
| The effects of variable stationarity in a financial time-series on artificial neural networks M Butler, D Kazakov 2011 IEEE Symposium on Computational Intelligence for Financial Engineering …, 2011 | 24 | 2011 |
| Data summarization approach to relational domain learning based on frequent pattern to support the development of decision making R Alfred, D Kazakov International Conference on Advanced Data Mining and Applications, 889-898, 2006 | 24 | 2006 |
| The origins of syntax: from navigation to language M Bartlett, D Kazakov Connection Science 17 (3-4), 271-288, 2005 | 23* | 2005 |
| Co-ordination of student-project allocation D Kazakov Manuscript, University of York, Department of Computer Science, 2002 | 23 | 2002 |
| Testing implications of the adaptive market hypothesis via computational intelligence M Butler, D Kazakov 2012 IEEE Conference on Computational Intelligence for Financial Engineering …, 2012 | 22 | 2012 |
| Particle swarm optimization of Bollinger bands M Butler, D Kazakov International Conference on Swarm Intelligence, 504-511, 2010 | 22 | 2010 |
| Stochastic simulation of inherited kinship-driven altruism H Turner, D Kazakov Journal of Artificial Intelligence and Simulation of Behaviour 1 (2), 183-196, 2002 | 22 | 2002 |
| Learning from ordinal data with inductive logic programming in description logic NN Qomariyah, DL Kazakov Late Breaking Papers of the 27th International Conference on Inductive Logic …, 2018 | 21* | 2018 |
| Accurate determination of loop iterations for worst-case execution time analysis M Bartlett, I Bate, D Kazakov IEEE Transactions on Computers 59 (11), 1520-1532, 2010 | 21* | 2010 |
| Guaranteed loop bound identification from program traces for WCET M Bartlett, I Bate, D Kazakov 2009 15th IEEE Real-Time and Embedded Technology and Applications Symposium …, 2009 | 21* | 2009 |
