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Dimitar Kazakov
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Publications
- 2021
- [c45]Fatima T. AL-Khawaldeh, Tommy Yuan, Dimitar Kazakov:
A Novel Model for Enhancing Fact-Checking. SAI (2) 2021: 661-677 - 2020
- [j10]Dimitar Kazakov, Filip Zelezný:
Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019). Mach. Learn. 109(7): 1287-1288 (2020) - [i3]Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov:
Unified Framework for the Adaptive Operator Selection of Discrete Parameters. CoRR abs/2005.05613 (2020) - 2019
- [c42]Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov:
Deep reinforcement learning based parameter control in differential evolution. GECCO 2019: 709-717 - [i2]Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov:
Deep Reinforcement Learning Based Parameter Control in Differential Evolution. CoRR abs/1905.08006 (2019) - 2018
- [c39]Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov:
Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution. PPSN (2) 2018: 321-333 - 2017
- [c38]Mudita Sharma, Dimitar Kazakov:
Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions. GECCO (Companion) 2017: 1439-1442 - 2011
- [c26]Mark Bartlett, Iain Bate, James Cussens, Dimitar Kazakov:
Probabilistic Instruction Cache Analysis Using Bayesian Networks. RTCSA (1) 2011: 233-242 - 2010
- [j6]Mark Bartlett, Iain Bate, Dimitar Kazakov:
Accurate Determination of Loop Iterations for Worst-Case Execution Time Analysis. IEEE Trans. Computers 59(11): 1520-1532 (2010) - 2009
- [c21]Mark Bartlett, Iain Bate, Dimitar Kazakov:
Guaranteed Loop Bound Identification from Program Traces for WCET. IEEE Real-Time and Embedded Technology and Applications Symposium 2009: 287-294 - 2008
- [c20]Iain Bate, Dimitar Kazakov:
New Directions in Worst-Case Execution Time analysis. IEEE Congress on Evolutionary Computation 2008: 3545-3552 - [c19]Mark Bartlett, Iain Bate, Dimitar Kazakov:
Challenges in Relational Learning for Real-Time Systems Applications. ILP 2008: 42-58 - 2007
- [j5]Enda Ridge, Edward Curry, Daniel Kudenko, Dimitar Kazakov:
Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments. Multiagent Grid Syst. 3(1): 1-2 (2007) - 2006
- [c14]Enda Ridge, Daniel Kudenko, Dimitar Kazakov:
A Study of Concurrency in the Ant Colony System Algorithm. IEEE Congress on Evolutionary Computation 2006: 1662-1669 - [c12]Dimitar Kazakov, Iain Bate:
Towards New Methods for Developing Real-Time Systems: Automatically Deriving Loop Bounds Using Machine Learning. ETFA 2006: 421-428 - [c11]Robert Alexander, Dimitar Kazakov, Tim Kelly:
System of Systems Hazard Analysis Using Simulation and Machine Learning. SAFECOMP 2006: 1-14 - 2005
- [j4]Mark Bartlett, Dimitar Kazakov:
The origins of syntax: from navigation to language. Connect. Sci. 17(3-4): 271-288 (2005) - [c10]Mark Bartlett, Dimitar Kazakov:
Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure. Adaptive Agents and Multi-Agent Systems 2005: 41-54 - [c8]Enda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry:
Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. SOAS 2005: 35-49 - [e2]Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso:
Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning. Lecture Notes in Computer Science 3394, Springer 2005, ISBN 3-540-25260-6 [contents] - 2004
- [j3]Dimitar Kazakov, Mark Bartlett:
Cooperative Navigation And The Faculty Of Language. Appl. Artif. Intell. 18(9-10): 885-901 (2004) - 2003
- [c7]Dimitar Kazakov, Mark Bartlett:
Social Learning through Evolution of Language. Artificial Evolution 2003: 397-408 - [e1]Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov:
Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning. Lecture Notes in Computer Science 2636, Springer 2003, ISBN 3-540-40068-0 [contents] - 2001
- [j2]Dimitar Kazakov, Suresh Manandhar:
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming. Mach. Learn. 43(1/2): 121-162 (2001) - [c5]Dimitar Kazakov, Daniel Kudenko:
Machine Learning and Inductive Logic Programming for Multi-agent Systems. EASSS 2001: 246-272 - 1999
- [c3]Dimitar Kazakov, Suresh Manandhar, Tomaz Erjavec:
Learning Word Segmentation Rules for Tag Prediction. ILP 1999: 152-161 - 1998
- [c1]Dimitar Kazakov, Suresh Manandhar:
A Hybrid Approach t Word Segmentation. ILP 1998: 125-134 - 1996
- [j1]Nada Lavrac, Irene Weber, Darko Zupanic, Dimitar Kazakov, Olga Stepánková, Saso Dzeroski:
ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Commun. 9(4): 157-206 (1996)
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