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Dimitar Kazakov
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- affiliation: University of York, UK
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2020 – today
- 2024
- [c47]Noof Abdullah Alfear, Dimitar Kazakov, Hend Al-Khalifa:
Meta-Evaluation of Sentence Simplification Metrics. LREC/COLING 2024: 11229-11235 - [i5]Charmaine Barker, Daniel Bethell
, Dimitar Kazakov:
Enhancing Fairness in Neural Networks Using FairVIC. CoRR abs/2404.18134 (2024) - 2023
- [i4]Charmaine Barker
ChatGPT as a Text Simplification Tool to Remove Bias. CoRR abs/2305.06166 (2023) - 2021
- [j11]Nunung Nurul Qomariyah
A genetic-based pairwise trip planner recommender system. J. Big Data 8(1): 77 (2021) - [c46]Can Erten, Dimitar Kazakov:
Ontology Graph Embeddings and ILP for Financial Forecasting. ILP 2021: 111-124 - [c45]Fatima T. AL-Khawaldeh
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) - [c44]Can Erten, Neel Chotai, Dimitar Kazakov:
Pair Trading with an Ontology of SEC Financial Reports. SSCI 2020: 368-375 - [e3]Dimitar Kazakov
Inductive Logic Programming - 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings. Lecture Notes in Computer Science 11770, Springer 2020, ISBN 978-3-030-49209-0 [contents] - [i3]Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov:
Unified Framework for the Adaptive Operator Selection of Discrete Parameters. CoRR abs/2005.05613 (2020)
2010 – 2019
- 2019
- [c43]Haizhou Qu, Dimitar Kazakov:
Detecting Causal Links between Financial News and Stocks. CIFEr 2019: 1-8 - [c42]Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez
Deep reinforcement learning based parameter control in differential evolution. GECCO 2019: 709-717 - [c41]Eyad Algahtani, Dimitar Kazakov:
CONNER: A Concurrent ILP Learner in Description Logic. ILP 2019: 1-15 - [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
- [c40]Eyad Algahtani, Dimitar Kazakov:
GPU-Accelerated Hypothesis Cover Set Testing for Learning in Logic. ILP Up-and-Coming / Short Papers 2018: 6-20 - [c39]Mudita Sharma, Manuel López-Ibáñez
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 - [c37]Nunung Nurul Qomariyah
Mixed Type Multi-attribute Pairwise Comparisons Learning. ICMLA 2017: 1094-1097 - [c36]Nunung Nurul Qomariyah, Dimitar Kazakov:
Learning from Ordinal Data with Inductive Logic Programming in Description Logic. ILP (Late Breaking Papers) 2017: 38-50 - [c35]Nunung Nurul Qomariyah, Dimitar Kazakov:
Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches. IntRS@RecSys 2017: 30-34 - 2016
- [c34]Amer Alzaidi, Dimitar Kazakov:
Novel Multi-agent Protocols for Islamic Banking Commodity Trading. EUMAS/AT 2016: 322-330 - [c33]Haizhou Qu, Dimitar Kazakov:
Quantifying correlation between Financial News and stocks. SSCI 2016: 1-6 - 2015
- [j9]Matthew Butler, Dimitar Kazakov:
SAX Discretization Does Not Guarantee Equiprobable Symbols. IEEE Trans. Knowl. Data Eng. 27(4): 1162-1166 (2015) - [c32]Zhivko Georgiev, Dimitar Kazakov:
Learning Ordinary Differential Equations for Macroeconomic Modelling. SSCI 2015: 905-909 - 2013
- [c31]Dimitar Kazakov, Ahmad Raza Shahid:
Using Parallel Corpora for Word Sense Disambiguation. RANLP 2013: 336-341 - 2012
- [j8]Dimitar Kazakov:
The Self-Cognisant Robot. Cogn. Comput. 4(3): 347-353 (2012) - [c30]Matthew Butler, Dimitar Kazakov:
A learning adaptive Bollinger band system. CIFEr 2012: 1-8 - [c29]Matthew Butler, Dimitar Kazakov:
Testing implications of the Adaptive Market Hypothesis via computational intelligence. CIFEr 2012: 1-8 - [c28]Amer Alzaidi, Dimitar Kazakov:
Earn More, Stay Legal: Novel Multi-agent Support for Islamic Banking. PAAMS (Special Sessions) 2012: 315-322 - [i1]Matthew Butler, Dimitar Kazakov:
Creating a level playing field for all symbols in a discretization. CoRR abs/1210.5118 (2012) - 2011
- [c27]Matthew Butler, Dimitar Kazakov:
The effects of variable stationarity in a financial time-series on Artificial Neural Networks. CIFEr 2011: 124-131 - [c26]Mark Bartlett
Probabilistic Instruction Cache Analysis Using Bayesian Networks. RTCSA (1) 2011: 233-242 - 2010
- [j7]Ahmad Raza Shahid, Dimitar Kazakov:
Retrieving Lexical Semantics from Multilingual Corpora. Polibits 41: 25-28 (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) - [c25]Matthew Butler, Dimitar Kazakov:
Particle Swarm Optimization of Bollinger Bands. ANTS Conference 2010: 504-511 - [c24]Matthew Butler, Dimitar Kazakov:
Modeling the behavior of the stock market with an Artificial Immune System. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c23]Dimitar Kazakov, Tsvetomira Tsenova:
Equation Discovery for Macroeconomic Modelling. ICAART 2009: 318-323 - [c22]Ahmad Raza Shahid, Dimitar Kazakov:
Automatic Multilingual Lexicon Generation using Wikipedia as a Resource. ICAART 2009: 357-360 - [c21]Mark Bartlett
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
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) - [c18]Rayner Alfred, Dimitar Kazakov:
Discretization Numbers for Multiple-Instances Problem in Relational Database. ADBIS 2007: 55-65 - [c17]Rayner Alfred, Dimitar Kazakov:
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA. ADBIS Research Communications 2007 - [c16]Rayner Alfred, Dimitar Kazakov:
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique. ADBIS Research Communications 2007 - 2006
- [c15]Rayner Alfred, Dimitar Kazakov:
Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making. ADMA 2006: 889-898 - [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 - [c13]Rayner Alfred, Dimitar Kazakov:
Pattern-Based Transformation Approach to Relational Domain Learning Using Dynamic Aggregation for Relational Attributes. DMIN 2006: 118-124 - [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
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 - [c9]Dimitar Kazakov, Matthew Sweet:
Evolving the Game of Life. Adaptive Agents and Multi-Agent Systems 2005: 132-146 - [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] - 2002
- [c6]Heather Turner, Dimitar Kazakov:
Stochastic Simulation of Inherited Kinship-Driven Altruism. Adaptive Agents and Multi-Agents Systems 2002: 187-201 - 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
1990 – 1999
- 1999
- [c4]Dimitar Kazakov:
Combining LAPIS and WordNet for Learning of LR Parsers with Optimal Semantic Constraints. ILP 1999: 140-151 - [c3]Dimitar Kazakov, Suresh Manandhar, Tomaz Erjavec:
Learning Word Segmentation Rules for Tag Prediction. ILP 1999: 152-161 - [c2]Dimitar Kazakov:
Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming. Learning Language in Logic 1999: 89-109 - 1998
- [c1]Dimitar Kazakov, Suresh Manandhar:
A Hybrid Approach t Word Segmentation. ILP 1998: 125-134 - 1996
- [j1]Nada Lavrac, Irene Weber
ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Commun. 9(4): 157-206 (1996)
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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