Dimitar Kazakov

71 papers A 2B 13C 4Misc 2Journal 17Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Kinship Data Benchmark for Multi-hop Reasoning.
CoRR
Tianda Sun, Dimitar Kazakov
2025 Misc conf
Mitigating Bias in Text Classification via Prompt-Based Text Transformation.
RANLP
Charmaine Barker, Dimitar Kazakov
2025 — conf
Utilizing Bidirectional Long Short-Term Memory (BiLSTM) for Radiology Reports in Indonesian Language.
KST
Nunung Nurul Qomariyah, Angeline Karen, Vania Natalie, Dimitar Kazakov, Praharsa Akmaja Chaetajaka
2024 — conf
A Hybrid Question Answering Model with Ontological Integration for Environmental Information.
DAO-XAI@ECAI
Tianda Sun, Jamie Carr, Dimitar Kazakov
2024 J jnl
Enhancing Fairness in Neural Networks Using FairVIC.
CoRR
Charmaine Barker, Daniel Bethell, Dimitar Kazakov
2024 — conf
Meta-Evaluation of Sentence Simplification Metrics.
LREC/COLING
Noof Abdullah Alfear, Dimitar Kazakov, Hend Al-Khalifa
2024 — conf
Predictive Savings Service.
SAI (3)
Dimitar Kazakov, Ventsislav Nikolov
2023 J jnl
ChatGPT as a Text Simplification Tool to Remove Bias.
CoRR
Charmaine Barker, Dimitar Kazakov
2021 — conf
A Novel Model for Enhancing Fact-Checking.
SAI (2)
Fatima T. AL-Khawaldeh, Tommy Yuan, Dimitar Kazakov
2021 J jnl
A genetic-based pairwise trip planner recommender system.
J. Big Data
Nunung Nurul Qomariyah, Dimitar Kazakov
2021 B conf
Ontology Graph Embeddings and ILP for Financial Forecasting.
ILP
Can Erten, Dimitar Kazakov
2020 J jnl
Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019).
Mach. Learn.
Dimitar Kazakov, Filip Zelezný
2020 B ed.
Inductive Logic Programming - 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3-5, 2019, Proceedings
ILP
Dimitar Kazakov, Can Erten
2020 — conf
Pair Trading with an Ontology of SEC Financial Reports.
SSCI
Can Erten, Neel Chotai, Dimitar Kazakov
2020 J jnl
Unified Framework for the Adaptive Operator Selection of Discrete Parameters.
CoRR
Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov
2019 B conf
CONNER: A Concurrent ILP Learner in Description Logic.
ILP
Eyad Algahtani, Dimitar Kazakov
2019 J jnl
Deep Reinforcement Learning Based Parameter Control in Differential Evolution.
CoRR
Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov
2019 A conf
Deep reinforcement learning based parameter control in differential evolution.
GECCO
Mudita Sharma, Alexandros Komninos, Manuel López-Ibáñez, Dimitar Kazakov
2019 — conf
Detecting Causal Links between Financial News and Stocks.
CIFEr
Haizhou Qu, Dimitar Kazakov
2018 — conf
GPU-Accelerated Hypothesis Cover Set Testing for Learning in Logic.
ILP Up-and-Coming / Short Papers
Eyad Algahtani, Dimitar Kazakov
2018 — conf
Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution.
PPSN (2)
Mudita Sharma, Manuel López-Ibáñez, Dimitar Kazakov
2017 — conf
Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions.
GECCO (Companion)
Mudita Sharma, Dimitar Kazakov
2017 — conf
Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches.
IntRS@RecSys
Nunung Nurul Qomariyah, Dimitar Kazakov
2017 — conf
Learning from Ordinal Data with Inductive Logic Programming in Description Logic.
ILP (Late Breaking Papers)
Nunung Nurul Qomariyah, Dimitar Kazakov
2017 C conf
Mixed Type Multi-attribute Pairwise Comparisons Learning.
ICMLA
Nunung Nurul Qomariyah, Dimitar Kazakov
2016 — conf
Novel Multi-agent Protocols for Islamic Banking Commodity Trading.
EUMAS/AT
Amer Alzaidi, Dimitar Kazakov
2016 — conf
Quantifying correlation between Financial News and stocks.
SSCI
Haizhou Qu, Dimitar Kazakov
2015 — conf
Learning Ordinary Differential Equations for Macroeconomic Modelling.
SSCI
Zhivko Georgiev, Dimitar Kazakov
2015 J jnl
SAX Discretization Does Not Guarantee Equiprobable Symbols.
IEEE Trans. Knowl. Data Eng.
Matthew Butler, Dimitar Kazakov
2013 Misc conf
Using Parallel Corpora for Word Sense Disambiguation.
RANLP
Dimitar Kazakov, Ahmad Raza Shahid
2012 — conf
A learning adaptive Bollinger band system.
CIFEr
Matthew Butler, Dimitar Kazakov
2012 J jnl
Creating a level playing field for all symbols in a discretization
CoRR
Matthew Butler, Dimitar Kazakov
2012 — conf
Earn More, Stay Legal: Novel Multi-agent Support for Islamic Banking.
PAAMS (Special Sessions)
Amer Alzaidi, Dimitar Kazakov
2012 — conf
Testing implications of the Adaptive Market Hypothesis via computational intelligence.
CIFEr
Matthew Butler, Dimitar Kazakov
2012 J jnl
The Self-Cognisant Robot.
Cogn. Comput.
Dimitar Kazakov
2011 — conf
Probabilistic Instruction Cache Analysis Using Bayesian Networks.
RTCSA (1)
Mark Bartlett, Iain Bate, James Cussens, Dimitar Kazakov
2011 — conf
The effects of variable stationarity in a financial time-series on Artificial Neural Networks.
CIFEr
Matthew Butler, Dimitar Kazakov
2010 J jnl
Accurate Determination of Loop Iterations for Worst-Case Execution Time Analysis.
IEEE Trans. Computers
Mark Bartlett, Iain Bate, Dimitar Kazakov
2010 B conf
Modeling the behavior of the stock market with an Artificial Immune System.
IEEE Congress on Evolutionary Computation
Matthew Butler, Dimitar Kazakov
2010 — conf
Particle Swarm Optimization of Bollinger Bands.
ANTS Conference
Matthew Butler, Dimitar Kazakov
2010 J jnl
Retrieving Lexical Semantics from Multilingual Corpora.
Polibits
Ahmad Raza Shahid, Dimitar Kazakov
2009 B conf
Automatic Multilingual Lexicon Generation using Wikipedia as a Resource.
ICAART
Ahmad Raza Shahid, Dimitar Kazakov
2009 B conf
Equation Discovery for Macroeconomic Modelling.
ICAART
Dimitar Kazakov, Tsvetomira Tsenova
2009 A conf
Guaranteed Loop Bound Identification from Program Traces for WCET.
IEEE Real-Time and Embedded Technology and Applications Symposium
Mark Bartlett, Iain Bate, Dimitar Kazakov
2008 B conf
Challenges in Relational Learning for Real-Time Systems Applications.
ILP
Mark Bartlett, Iain Bate, Dimitar Kazakov
2008 B conf
New Directions in Worst-Case Execution Time analysis.
IEEE Congress on Evolutionary Computation
Iain Bate, Dimitar Kazakov
2007 — conf
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique.
ADBIS Research Communications
Rayner Alfred, Dimitar Kazakov
2007 — conf
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA.
ADBIS Research Communications
Rayner Alfred, Dimitar Kazakov
2007 C conf
Discretization Numbers for Multiple-Instances Problem in Relational Database.
ADBIS
Rayner Alfred, Dimitar Kazakov
2007 J jnl
Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments.
Multiagent Grid Syst.
Enda Ridge, Edward Curry, Daniel Kudenko, Dimitar Kazakov
2006 B conf
A Study of Concurrency in the Ant Colony System Algorithm.
IEEE Congress on Evolutionary Computation
Enda Ridge, Daniel Kudenko, Dimitar Kazakov
2006 C conf
Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making.
ADMA
Rayner Alfred, Dimitar Kazakov
2006 — conf
Pattern-Based Transformation Approach to Relational Domain Learning Using Dynamic Aggregation for Relational Attributes.
DMIN
Rayner Alfred, Dimitar Kazakov
2006 B conf
System of Systems Hazard Analysis Using Simulation and Machine Learning.
SAFECOMP
Robert Alexander, Dimitar Kazakov, Tim Kelly
2006 C conf
Towards New Methods for Developing Real-Time Systems: Automatically Deriving Loop Bounds Using Machine Learning.
ETFA
Dimitar Kazakov, Iain Bate
2005 — ed.
Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning
Adaptive Agents and Multi-Agent Systems
Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso
2005 — conf
Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure.
Adaptive Agents and Multi-Agent Systems
Mark Bartlett, Dimitar Kazakov
2005 — conf
Evolving the Game of Life.
Adaptive Agents and Multi-Agent Systems
Dimitar Kazakov, Matthew Sweet
2005 — conf
Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments.
SOAS
Enda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry
2005 J jnl
The origins of syntax: from navigation to language.
Connect. Sci.
Mark Bartlett, Dimitar Kazakov
2004 J jnl
Cooperative Navigation And The Faculty Of Language.
Appl. Artif. Intell.
Dimitar Kazakov, Mark Bartlett
2003 — ed.
Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning
Adaptive Agents and Multi-Agent Systems
Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov
2003 — conf
Social Learning through Evolution of Language.
Artificial Evolution
Dimitar Kazakov, Mark Bartlett
2002 — conf
Stochastic Simulation of Inherited Kinship-Driven Altruism.
Adaptive Agents and Multi-Agents Systems
Heather Turner, Dimitar Kazakov
2001 — conf
Machine Learning and Inductive Logic Programming for Multi-agent Systems.
EASSS
Dimitar Kazakov, Daniel Kudenko
2001 J jnl
Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming.
Mach. Learn.
Dimitar Kazakov, Suresh Manandhar
1999 — conf
Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming.
Learning Language in Logic
Dimitar Kazakov
1999 B conf
Combining LAPIS and WordNet for Learning of LR Parsers with Optimal Semantic Constraints.
ILP
Dimitar Kazakov
1999 B conf
Learning Word Segmentation Rules for Tag Prediction.
ILP
Dimitar Kazakov, Suresh Manandhar, Tomaz Erjavec
1998 B conf
A Hybrid Approach t Word Segmentation.
ILP
Dimitar Kazakov, Suresh Manandhar
1996 J jnl
ILPNET Repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography.
AI Commun.
Nada Lavrac, Irene Weber, Darko Zupanic, Dimitar Kazakov, Olga Stepánková, Saso Dzeroski