Dimitar Kazakov

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 21

Top Topics

Pairwise Comparisons

Financial Reports

Artificial Bee Colony

Inductive Logic Programming

Top Venues

GECCO (Companion)

Publications

Charmaine Barker, Daniel Bethell, Dimitar Kazakov
Enhancing Fairness in Neural Networks Using FairVIC. CoRR (2024)
Noof Abdullah Alfear, Dimitar Kazakov, Hend Al-Khalifa
Meta-Evaluation of Sentence Simplification Metrics. LREC/COLING (2024)
Charmaine Barker, Dimitar Kazakov
ChatGPT as a Text Simplification Tool to Remove Bias. CoRR (2023)
Can Erten, Dimitar Kazakov
Ontology Graph Embeddings and ILP for Financial Forecasting. ILP (2021)
Fatima T. AlKhawaldeh, Tommy Yuan, Dimitar Kazakov
A Novel Model for Enhancing Fact-Checking. SAI (2) (2021)
Nunung Nurul Qomariyah, Dimitar Kazakov
A genetic-based pairwise trip planner recommender system. J. Big Data 8 (1) (2021)
Can Erten, Neel Chotai, Dimitar Kazakov
Pair Trading with an Ontology of SEC Financial Reports. SSCI (2020)
Dimitar Kazakov, Filip Zelezný
Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019). Mach. Learn. 109 (7) (2020)
Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov
Unified Framework for the Adaptive Operator Selection of Discrete Parameters. CoRR (2020)
Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov
Deep reinforcement learning based parameter control in differential evolution. GECCO (2019)
Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov
Deep Reinforcement Learning Based Parameter Control in Differential Evolution. CoRR (2019)
Haizhou Qu, Dimitar Kazakov
Detecting Causal Links between Financial News and Stocks. CIFEr (2019)
Eyad Algahtani, Dimitar Kazakov
CONNER: A Concurrent ILP Learner in Description Logic. ILP (2019)
Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov
Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution. PPSN (2) (2018)
Eyad Algahtani, Dimitar Kazakov
GPU-Accelerated Hypothesis Cover Set Testing for Learning in Logic. ILP Up-and-Coming / Short Papers (2018)
Nunung Nurul Qomariyah, Dimitar Kazakov
Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches. IntRS@RecSys (2017)
Nunung Nurul Qomariyah, Dimitar Kazakov
Mixed Type Multi-attribute Pairwise Comparisons Learning. ICMLA (2017)
Nunung Nurul Qomariyah, Dimitar Kazakov
Learning from Ordinal Data with Inductive Logic Programming in Description Logic. ILP (Late Breaking Papers) (2017)
Mudita Sharma, Dimitar Kazakov
Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions. GECCO (Companion) (2017)
Amer Alzaidi, Dimitar Kazakov
Novel Multi-agent Protocols for Islamic Banking Commodity Trading. EUMAS/AT (2016)
Haizhou Qu, Dimitar Kazakov
Quantifying correlation between Financial News and stocks. SSCI (2016)
Matthew Butler, Dimitar Kazakov
SAX Discretization Does Not Guarantee Equiprobable Symbols. IEEE Trans. Knowl. Data Eng. 27 (4) (2015)
Zhivko Georgiev, Dimitar Kazakov
Learning Ordinary Differential Equations for Macroeconomic Modelling. SSCI (2015)
Dimitar Kazakov, Ahmad Raza Shahid
Using Parallel Corpora for Word Sense Disambiguation. RANLP (2013)
Amer Alzaidi, Dimitar Kazakov
Earn More, Stay Legal: Novel Multi-agent Support for Islamic Banking. PAAMS (Special Sessions) (2012)
Dimitar Kazakov
The Self-Cognisant Robot. Cogn. Comput. 4 (3) (2012)
Matthew Butler, Dimitar Kazakov
A learning adaptive Bollinger band system. CIFEr (2012)
Matthew Butler, Dimitar Kazakov
Testing implications of the Adaptive Market Hypothesis via computational intelligence. CIFEr (2012)
Matthew Butler, Dimitar Kazakov
Creating a level playing field for all symbols in a discretization CoRR (2012)
Matthew Butler, Dimitar Kazakov
The effects of variable stationarity in a financial time-series on Artificial Neural Networks. CIFEr (2011)
Mark Bartlett, Iain Bate, James Cussens, Dimitar Kazakov
Probabilistic Instruction Cache Analysis Using Bayesian Networks. RTCSA (1) (2011)
Matthew Butler, Dimitar Kazakov
Modeling the behavior of the stock market with an Artificial Immune System. IEEE Congress on Evolutionary Computation (2010)
Matthew Butler, Dimitar Kazakov
Particle Swarm Optimization of Bollinger Bands. ANTS Conference (2010)
Mark Bartlett, Iain Bate, Dimitar Kazakov
Accurate Determination of Loop Iterations for Worst-Case Execution Time Analysis. IEEE Trans. Computers 59 (11) (2010)
Ahmad Raza Shahid, Dimitar Kazakov
Retrieving Lexical Semantics from Multilingual Corpora. Polibits 41 (2010)
Dimitar Kazakov, Tsvetomira Tsenova
Equation Discovery for Macroeconomic Modelling. ICAART (2009)
Ahmad Raza Shahid, Dimitar Kazakov
Automatic Multilingual Lexicon Generation using Wikipedia as a Resource. ICAART (2009)
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)
Iain Bate, Dimitar Kazakov
New Directions in Worst-Case Execution Time analysis. IEEE Congress on Evolutionary Computation (2008)
Mark Bartlett, Iain Bate, Dimitar Kazakov
Challenges in Relational Learning for Real-Time Systems Applications. ILP (2008)
Rayner Alfred, Dimitar Kazakov
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique. ADBIS Research Communications (2007)
Rayner Alfred, Dimitar Kazakov
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA. ADBIS Research Communications (2007)
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) (2007)
Rayner Alfred, Dimitar Kazakov
Discretization Numbers for Multiple-Instances Problem in Relational Database. ADBIS (2007)
Rayner Alfred, Dimitar Kazakov
Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making. ADMA (2006)
Enda Ridge, Daniel Kudenko, Dimitar Kazakov
A Study of Concurrency in the Ant Colony System Algorithm. IEEE Congress on Evolutionary Computation (2006)
Dimitar Kazakov, Iain Bate
Towards New Methods for Developing Real-Time Systems: Automatically Deriving Loop Bounds Using Machine Learning. ETFA (2006)
Rayner Alfred, Dimitar Kazakov
Pattern-Based Transformation Approach to Relational Domain Learning Using Dynamic Aggregation for Relational Attributes. DMIN (2006)
Robert Alexander, Dimitar Kazakov, Tim Kelly
System of Systems Hazard Analysis Using Simulation and Machine Learning. SAFECOMP (2006)
Enda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry
Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. SOAS (2005)
Dimitar Kazakov, Matthew Sweet
Evolving the Game of Life. Adaptive Agents and Multi-Agent Systems (2005)
Mark Bartlett, Dimitar Kazakov
The origins of syntax: from navigation to language. Connect. Sci. 17 (3-4) (2005)
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)
Dimitar Kazakov, Mark Bartlett
Cooperative Navigation And The Faculty Of Language. Appl. Artif. Intell. 18 (9-10) (2004)
Dimitar Kazakov, Mark Bartlett
Social Learning through Evolution of Language. Artificial Evolution (2003)
Heather Turner, Dimitar Kazakov
Stochastic Simulation of Inherited Kinship-Driven Altruism. Adaptive Agents and Multi-Agents Systems (2002)
Dimitar Kazakov, Daniel Kudenko
Machine Learning and Inductive Logic Programming for Multi-agent Systems. EASSS (2001)
Dimitar Kazakov, Suresh Manandhar
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming. Mach. Learn. 43 (1/2) (2001)
Dimitar Kazakov, Suresh Manandhar, Tomaz Erjavec
Learning Word Segmentation Rules for Tag Prediction. ILP (1999)
Dimitar Kazakov
Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming. Learning Language in Logic (1999)
Dimitar Kazakov
Combining LAPIS and WordNet for Learning of LR Parsers with Optimal Semantic Constraints. ILP (1999)
Dimitar Kazakov, Suresh Manandhar
A Hybrid Approach t Word Segmentation. ILP (1998)
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) (1996)