Dimitar Kazakov: list of publications

 

2018

Haizhou Qu and Dimitar Kazakov. Detecting Causal Links Between Financial News and Time Series. (In manuscript.)

Dimitar Kazakov, Guido Cordoni, Andrea Ceolin, Monica Irimia, Shin-Sook Kim, Dimitris Michelioudakis, Nina Radkevich, Cristina Guardiano and Giuseppe Longobardi. Learning Implication Rules Between Universal Grammar Parameters. EVOLANG XII: 16-19 April 2018. Torun, Poland.

2017

Nurul Qomariyah and Dimitar Kazakov. Preference Learning from Multi-attribute Pairwise Comparisons: A Car Recommender Case Study. 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017), Cancun, 18-21 December 2017.

Dimitar Kazakov, Guido Cordoni, Andrea Ceolin, Monica A. Irimia, Shin-Sook Kim, Dimitris Michelioudakis, Nina Radkevich, Christina Guardiano and Giuseppe Longobardi. Machine Learning Models of Universal Grammar Parameter Dependencies. RANLP 2017 Workshop on Knowledge Resources for the Socio-Economic Sciences and Humanities (KnowRSH). Sep 2017, Varna, Bulgaria.

Hani Elgabou and Dimitar Kazakov. Building Dialectal Arabic Corpora.The First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT), RANLP. Sep 2017, Varna, Bulgaria.

Nurul Qomariyah and Dimitar Kazakov. Learning from Ordinal Data with Inductive Logic Programming in Description Logic. ILP-27, Sep 2017. Orléans, France.

Nurul Qomariyah and Dimitar Kazakov. Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. Como, Italy, Aug 2017.

Mudita Sharma and Dimitar Kazakov. Hybridisation of Artificial Bee Colony Algorithm on Four Classes of Real-valued Optimisation Functions. GECCO (Genetic and Evolutionary Computation Conference) 2017 Student Workshop. July 2017, Berlin.

2016

Haizhou Qu and Dimitar Kazakov. Quantifying Correlation between Financial News and Stocks. IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), Dec 2016, Athens.

Giuseppe Longobardi, Dimitris Michelioudakis, Cristina Guardiano, Monica Irimia, Nina Radkevich, Shin-Sook Kim, Guido Cordoni, Andrea Ceolin and Dimitar Kazakov. Syntactic theory and the science of (language) history. The 46th Poznan Linguistic Meeting (PLM2016), Poznan, 15-17 Sep 2016.

Andrea Ceolin, Cristina Guardiano, Monica Irimia, Giuseppe Longobardi, Dimitris Michelioudakis, Nina Radkevich, Mark Bartlett, Dimitar Kazakov, Andrea Brunelli, Silvia Ghirotto, Alessio Boattini, Stefania Sarno, Davide Pettener, Guido Barbujani and Donata Luiselli. Parametric history and population diversity. 18th Diachronic Generative Syntax conference (DiGS 18). Ghent, Belgium, 29 June - 1 July 2016.

Haizhou Qu, Marcelo Sardelich, Nunung Nurul Qomariyah and Dimitar Kazakov. Integrating Time Series with Social Media Data in an Ontology for the Modelling of Extreme Financial Events. Joint Second Workshop on Language and Ontology & Terminology and Knowledge Structures. Portorož, Slovenia, 23 May 2016.

2015

Zhivko Georgiev and Dimitar Kazakov. Learning Ordinary Differential Equations for Macroeconomic Modelling. IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (CIFEr), Dec 2015, Cape Town.

Butler, M. and D. Kazakov. SAX Discretization Does Not Guarantee Equiprobable Symbols. IEEE Transactions on Knowledge and Data Engineering 27 (4), 1162-1166. April 2015.

2014

Kazakov, D. and M. Bartlett. Evolutionary paths to compositional language. Proc. of the 10th International Conference on the Evolution of Language (EVOLANG X). 2014 p. 461-462.

2013

D. Kazakov and M. Bartlett. (2013). Evolutionary Pressures Promoting Complexity in Navigation and Communication. Interaction Studies, Volume 14, Number 1, pp. 107-135(29). John Benjamins. [PDF]

A.R. Shahid and D. Kazakov (2013). Using parallel corpora for word sense disambiguation. RANLP-13, Hissar, Bulgaria.

2012

D. Kazakov. (2012). The Self-Cognisant Robot. Cognitive Computation 4(3). Published online: 10 May 2012. DOI: 10.1007/s12559-012-9135-6. Url: link.

M. Butler and D. Kazakov. (2012). Testing Implications of the Adaptive Market Hypothesis via Computational Intelligence. Proceedings of IEEE Computational Intelligence for Financial Engineering and Economics (CIFEr). New York. URL:link.

M. Butler and D. Kazakov. (2012). A Learning Adaptive Bollinger Band System. Proceedings of IEEE Computational Intelligence for Financial Engineering and Economics (CIFEr). New York. URL:link.

A. Alzaidi and D. Kazakov. (2012). Earn more, Stay legal: Novel Multi-agent Support for Islamic Banking. Proc. of the 10th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2012). Salamanca, Spain.

2011

M. Butler and D. Kazakov. (2011). The Effects of Variable Stationarity in a Financial Time-Series on Artificial Neural Networks. In Proceedings of IEEE CIFEr 2011, Paris, France.

A. Alzaidi and D. Kazakov. (2011). Equation Discovery for Financial Forecasting in the Context of Islamic Banking. In the Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Applications (AIA 2011). Innsbruck, Austria.

M. Bartlett, I. Bate, J. Cussens, D. Kazakov. (2011). Probabilistic Instruction Cache Analysis using Bayesian Networks. In Proceedings of the 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2011).

Ahmad R. Shahid and Dimitar Kazakov. Using Multilingual Corpora to Extract Semantic Information. In Proc. of the Symposium on Learning Language Models from Multilingual Corpora, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour. [pdf]

Simon O'Keefe, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Active Vision, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Daniela M. Romano, David C. Moffat, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on AI and Games, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Frank Guerin, John Alexander, Philip Quinlan, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Computational Models of Cognitive Development, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Mark Bishop, Kevin Magill, Steve Russ, Yasemin J. Erden, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Computing and Philosophy, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Wan Ching Ho, Mei Yii Lim and Cyril Brom, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Human Memory for Artificial Agents, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Dimitar Kazakov, Preslav Nakov, Ahmad R. Shahid and George Tsoulas (Eds). (2011). Proc. of the Symposium on Learning Language Models from Multilingual Corpora, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Ron Chrisley, Rob Clowes, Steve Torrance, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Machine Consciousness, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Matthias Mailliard, Clara Smith, Frédéric Amblard, Samuel Thiriot, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Social Networks and Multiagent Systems, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

Aladdin Ayesh, Mark Bishop, John Barnden, Dimitar Kazakov and George Tsoulas (Eds). (2011). Proc. of the Symposium on Towards a Comprehensive Intelligence Test, AISB'11 Convention, York, United Kingdom. The UK Society for the Study of Artificial Intelligence and Simulation of Behaviour.

2010

Ahmad R. Shahid and Dimitar Kazakov. Retrieving Lexical Semantics from Multilingual Corpora, Polibits 5:25-28, January - June 2010.

Dimitar Kazakov. April 2010. Interplay between Language, Navigation and Kin Selection. The Eighth Conference on the Evolution of Language (EvoLang), Utrecht, the Netherlands.

Matthew Butler and Dimitar Kazakov. July 2010. Modeling the Behaviour of the Stock Market with an Artificial Immune System. Proceedings of IEEE CEC, Barcelona, Spain.

Matthew Butler and Dimitar Kazakov. September 2010. Optimizing Bollinger Bands via Particle Swarm Optimization. Proceedings of ANTS - 7th Int'l Conference on Swarm Intelligence, Brussels, Belgium.

Mark Bartlett, Iain Bate and Dimitar Kazakov. 2010. Accurate Determination of Loop Iterations for Worst-Case Execution Time Analysis. IEEE Transactions on Computers, 59(11), pp. 1520-1532.

2009

Dimitar Kazakov and Tsvetomira Tsenova. January 2009. Equation Discovery for Macroeconomic Modelling. International Conference on Agents and Artificial Intelligence, Porto, Portugal. [pdf]

Dimitar Kazakov. 2009. Simulating the Benefits of Language. Conf. on Ways to Protolanguage: the initial stages of the evolution of the language faculty, Torun, Poland.

Dimitar Kazakov and George Tsoulas. 2009. Applying Recapitulation Theory to Language. Conf. on Ways to Protolanguage: the initial stages of the evolution of the language faculty, Torun, Poland.

Ahmad R. Shahid and Dimitar Kazakov. January 2009. Automatic Multilingual Lexicon Generation using Wikipedia as a Resource. International Conference on Agents and Artificial Intelligence, Porto, Portugal, http://www-users.cs.york.ac.uk/~ahmad/index.html

M. Bartlett, I. Bate and D. Kazakov. 2009. Guaranteed Loop Bound Identification from Program Traces for WCET. Proceedings of the 15th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), San Francisco, CA, United States, [pdf]

Dimitar Kazakov and Ahmad R. Shahid. Unsupervised Construction of a Multilingual WordNet from Parallel Corpora, Workshop on Natural Language Processing methods and Corpora in Translation, Lexicography, and Language Learning, 17 Sept 2009, Borovets, Bulgaria. [pdf]

2008

Iain Bate and Dimitar Kazakov. June 2008. New Directions in Worst-Case Execution Time Analysis. IEEE Congress on Computational Intelligence (WCCI 2008), Hong Kong.

Dimitar Kazakov and Ahmad R. Shahid. December 2008. Extracting Multilingual Dictionaries for the Teaching of CS and AI. 4th UK Workshop on AI in Education, Cambridge, [pdf]

M. Bartlett, I. Bate and D. Kazakov. 2008. Challenges in Relational Learning for Real-Time Systems Applications. Proceedings of the 18th International Conference on Inductive Logic Programming, Springer, Lecture Notes in Computer Science, 5194:42--58, Berlin / Heidelberg, http://dx.doi.org/10.1007/978-3-540-85928-4_8.

Amer Alzaidi and Dimitar Kazakov. 2008. Designing a Supply Chain Management Approach for Islamic Banking Using Reinforcement Learning with Multi-Agents Technology. The Saudi International Innovation Conference, Leeds, SIIC.

2007

R. Alfred and D. Kazakov. 2007. Discretisation Numbers for Multiple-Instances Problem in Relational Database. ADBIS:55-65.

R. Alfred and D. Kazakov. 2007. Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-Based Clustering Technique. ADBIS.

R. Alfred and D. Kazakov. 2007. Clustering Approach to Generalised Pattern Identification Based on Multi-Instanced Objects with DARA. ADBIS.

R. Alfred, E. Paskaleva, D. Kazakov, M. Bartlett, et. al. 2007. Hierarchical Agglomerative Clustering of English-Bulgarian Parallel Corpora. RANLP:24-29.

R. Alfred, E. Paskaleva, D. Kazakov, M. Bartlett, et. al. 2007. Hierarchical Agglomerative Clustering for Cross-Language Information Retrieval. International Journal of Translation.

2006

D. Kazakov. Open Book Examinations in AI Teaching: A Case Study. Proc. of the Second UK Workshop on AI in Education, Cambridge, 11 December 2006. [pdf]

D. Kazakov, J. Cussens and S. Manandhar. On The Duality of Semantics and Syntax: The PP Attachment Case.Department of Computer Science, University of York, UK. Technical report YCS 409, 2006.

D. Kazakov. Extended fitness for evolutionary algorithms. META'06 Workshop on Metaheuristics. 2-4 November 2006, Hammamet, Tunisia.

D. Kazakov. Self-reflective Machine Learning Challenge. META'06 Workshop on Metaheuristics. 2-4 November 2006, Hammamet, Tunisia.

D. Kazakov and I. Bate. Towards New Methods for Developing Real-Time Systems: Automatically Deriving Loop Bounds Using Machine Learning. Proc. of the 11th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8p., 20-22 September 2006, Prague.

R. Alexander, D. Kazakov and T. Kelly. System of Systems Hazard Analysis using Simulation and Machine Learning. In Proceedings of the 25th International Conference on Computer Safety, Reliability and Security SAFECOMP 2006, Published as LNCS volume by Springer, September 2006. [pdf]

Sally Fincher, David Barnes, Peter Bibby, Jim Bown, Vicky Bush, Phil Campbell, Quintin Cutts, Stephan Jamieson, Tony Jenkins, Michael Jones, Dimitar Kazakov, Thomas Lancaster, Mark Ratcliffe, Monika Seisenberger, Dermot Shinner-Kennedy, Carole Wagstaff, Linda White, and Chris Whyley. Some Good Ideas from the Disciplinary Commons. The Higher Education Academy 7th Annual Conference. 29-31 August 2006, Trinity College, Dublin.

Quintin Cutts, Sally Fincher, David Barnes, Peter Bibby, Jim Bown, Vicky Bush, Phil Campbell, Stephan Jamieson, Tony Jenkins, Michael Jones, Dimitar Kazakov, Thomas Lancaster, Mark Ratcliffe, Monika Seisenberger, Dermot Shinner-Kennedy, Carole Wagstaff, Linda White, and Chris Whyley. Laboratory Exams in First Programming Courses. The Higher Education Academy 7th Annual Conference. 29-31 August 2006, Trinity College, Dublin.

R. Alfred and D. Kazakov. Data Summarization Approach to Relational Domain Learning Based on Frequent Pattern to Support the Development of Decision Making. In the Proceedings of The Second International Conference of Advanced Data Mining and Applications, (ADMA 2006), 14-16 August, Xi'An, China, 2006. LNAI 4093, pp. 889-898, eds. X. Li, O.R. Zaiane, and Z. Li, (2006).

D. Kazakov and I. Bate. Learning Worst-Case Execution Time Loop Bounds with Inductive Logic Programming. In Stephen Muggleton and Ramon Otero (eds.): Proceedings of the 16th International Conference on Inductive Logic Programming (short papers), pp. 119-121, Santiago de Compostela, Spain, August 2006. Published by the University of Corunna, ISBN 84-9749-206-4.

R. Alfred and D. Kazakov. Pattern-Based Transformation Approach to Relational Domain Learning Using DARA. The 2006 International Conference on Data Mining (DMIN'06). 26-29 June 2006, Las Vegas.

R. Alfred and D. Kazakov. An Association-classification Hybrid Rule Learning Approach to Relational Data Mining. The 2006 International Conference on Artificial Intelligence (ICAI'06). 26-29 June 2006, Las Vegas.

E. Ridge, D. Kudenko and D. Kazakov. A Study of Concurrency in the Ant Colony System Algorithm. Annual IEEE Congress on Evolutionary Computation (CEC 2006), IEEE World Congress on Computational Intelligence, Vancouver, 16-21 July 2006.

E. Ridge, D. Kudenko and D. Kazakov. Parallel, Asynchronous and Decentralised Ant Colony System. The First International Symposium on Nature-Inspired Systems for Parallel, Asynchronous and Decentralised Environments (NISPADE), AISB convention, Bristol, 6 April 2006.

H. Amini, D. Kazakov and E. Ridge. Parallelism vs Communication Overhead Trade-off in a JADE Multi-Agent Implementation of Cellular Automata. The First International Symposium on Nature-Inspired Systems for Parallel, Asynchronous and Decentralised Environments (NISPADE), AISB convention, Bristol, 6 April 2006. [ pdf ]

M. Bartlett and D. Kazakov. The evolution of syntactic capacity from navigational ability. The Sixth Intl. Conference on the Evolution of Language (EvoLang 2006). pp 393-394, Rome, 12-15 April 2006.
 

2005
 

Enda Ridge, Daniel Kudenko, Dimitar Kazakov and Edward Curry. Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. Proceedings of the International Conference on Self-Organization and Adaptation of Multi-agent and Grid Systems (SOAS 2005), 15 pages. University of Paisley, Glasgow, UK, 11 - 13 December 2005.

Thomas de Simone and Dimitar Kazakov. Using WordNet Similarity and Antonymy Relations to Aid Document Retrieval. Recent Advances in Natural Language Processing (RANLP 2005), 21-23 September 2005, Borovets, Bulgaria. [ ps | pdf ]

K. Simov, D. Kazakov and P. Osenova (eds). Proceedings of the Workshop on Exploring Syntactically Annotated Corpora (held in conjunction with the Corpus Linguistics 2005 conference, University of Birmingham, 14-17 July 2005). Department of Computer Science, University of York, UK. Technical report YCS 392, 2005. [ pdf ].

M. Bartlett and D. Kazakov. The Origins of Syntax: from Navigation to Language. Connection Science 17(3-4), pp. 271-288, 2005. (Special issue on the emergence of language: neural and adaptive agent models). [pdf/html from publisher]

D. Kazakov and M. Sweet. Evolving the Game of Life. In D. Kudenko, D. Kazakov, E. Alonso (eds.). Adaptive Agents and Multi-Agent Systems II. Lecture Notes in Artificial Intelligence (LNAI) vol. 3394, pp.132-146, Springer - Verlag, Berlin Heidelberg, 2005. ISBN 3-540-25260-6. (An additionally reviewed version of the AAMAS-4 article.) [ pdf ]

M. Bartlett and D. Kazakov. Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure. In D. Kudenko, D. Kazakov, E. Alonso (eds.). Adaptive Agents and Multi-Agent Systems II. Lecture Notes in Artificial Intelligence (LNAI) vol. 3394, pp.41-54, Springer - Verlag, Berlin Heidelberg, 2005. ISBN 3-540-25260-6. [ pdf]

D. Kudenko, D. Kazakov and E. Alonso (eds.). Adaptive Agents and Multi-Agent Systems II. Lecture Notes in Artificial Intelligence (LNAI) vol. 3394, Springer - Verlag, Berlin Heidelberg, 2005. ISBN 3-540-25260-6.

D. Kazakov and M. Bartlett. Could Navigation Be the Key to Language? In the Proc. of the Second Symposium on the Emergence and Evolution of Linguistic Communication (EELC'05), pp. 50-55. 12-15 April 2005, Hatfield UK. Published by AISB, ISBN: 1 902956 40 9. [extended abstract: ps | full paper: ps | pdf ]

 

2004
 

D. Kazakov and M. Bartlett. Co-operative navigation and the faculty of language. Applied Artificial Intelligence, 18:885-901, 2004. [ps]

J. Sedding and D. Kazakov. WordNet-based Text Document Clustering. In Proc. of the Third Workshop on Robust Methods in Analysis of Natural Language Data (ROMAND), pp.104-113, Geneva, 2004. [pdf]

D. Kazakov and M. Bartlett. Social Learning through Evolution of Language. Artificial Evolution. 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003. Series: Lecture Notes in Computer Science, Vol. 2936. Liardet, P.; Collet, P.; Fonlupt, C.; Lutton, E.; Schoenauer, M. (Eds.) 2004, XIV, 410 p. ISBN: 3-540-21523-9. (An additionally reviewed and edited version of the 2003 conference article.)

D. Kudenko, E. Alonso and D. Kazakov (eds). Proceedings of the AISB'04 Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS-4), AISB convention, University of Leeds, Leeds, UK, 29 March - 1 April, 2004. [ pdf ]

M. Bartlett and D. Kazakov. The role of environment structure in multi-agent simulations of language evolution. Proceedings of the Fourth Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS-4), AISB convention, Leeds, 2004. [pdf]

D. Kazakov and M. Sweet. Evolving the Game of Life. Proceedings of the Fourth Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS-4), AISB convention, Leeds, 2004. [ps | pdf ].

D. Kazakov. Evolutionary Algorithms with Extended Fitness. Department of Computer Science, University of York, UK. Technical report YCS 370, 2004. [ ps | pdf ]

 

2003
 

D. Kazakov and M. Bartlett. Social Learning through Evolution of Language [draft ps]. In the Proceedings of the 6th International Conference on Artificial Evolution (EA'03), Université de Provence, France, 27-30 October 2003.
 
D. Kazakov and S. Dobnik. Inductive Learning of Lexical Semantics with Typed Unification Grammars. Oxford Working Papers in Linguistics, Philology, and Phonetics. Oxford University, 2003. [ps]

E. Alonso, D. Kudenko and D. Kazakov (eds). Adaptive Agents and Multi-Agent Systems. Lecture Notes in Artificial Intelligence (LNAI), vol. 2636, Springer, 2003. 322 pages, ISBN 3-540-40068-0.

H. Turner and D. Kazakov. Stochastic Simulation of Inherited Kinship-Driven Altruism. In E. Alonso, D. Kudenko and D. Kazakov (eds). Adaptive Agents and Multi-Agent Systems. Series LNAI, vol. 2636, Springer, 2003. ISBN 3-540-40068-0 (reprint of the 2002 JAISB article).

D. Kazakov, D. Kudenko and E. Alonso (eds). Proceedings of the AISB'03 Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS-3). University of Aberystwyth, Wales,  10-11 April 2003.
 

2002

D. Kudenko,  D. Kazakov  and E. Alonso.  Chapter Machine Learning for Agents and Multi-Agent  Systems, pp.1-12.   In V.   Plekhanova (ed.): Intelligent  Agent  Software   Engineering.   Idea  Group  Publishing, London, 2002. ISBN 1-59140-046-5.

D.  Kazakov.  Self-reflective  machine learning.  A proposal submitted to  the Workshop  on  Grand Challenges  for  Computing Research. Edinburgh, November 2002.

D. Kazakov and M. Bartlett. A Multi-Agent Simulation of the Evolution of Language. In Peter McBurney and Michael Wooldridge (eds.): Working Notes of UKMAS 2002, St Catherine's College, Oxford, Dec 2002. (extended abstract). [ps]
 
D. Kazakov and M. Bartlett. A Multi-Agent Simulation of the Evolution of Language. In Marko Grobelnik, Marko Bohanec, Dunja Mladenic and Matjaz Gams (eds): The Proc. of Information Society Conference IS'2002, p.39-41, Ljubljana, Slovenia, Josef Stefan Institute, October 2002. ISBN 961-6303-41-4. [ps]

H. Turner and D. Kazakov. Stochastic Simulation of Inherited Kinship-Driven Altruism.  Journal of Artificial Intelligence and Simulation of Behaviour, p. 183-196, 1(2), 2002.  (An extended version of the AAMAS-2 Symposium article) [pdf | ps | ps.gz]

H. Turner  and  D. Kazakov.  Stochastic  Simulation  of Inherited  Kinship-Driven  Altruism.   Proceedings of  the AISB'02 Symposium on Adaptive and  Multi-Agent  Systems (AAMAS-2), p.60-66,  Imperial College,  London, 3-5  April  2002. ISBN  1-902956-28-0. [pdf | ps]

E. Alonso, D. Kudenko and D. Kazakov (eds). Proceedings of the AISB'02 Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS-2). Imperial College,  London, 3-5  April  2002. ISBN  1-902956-28-0.
 

2001

D. Kazakov and S. Manandhar. Unsupervised learning of word segmentation rules with genetic algorithms and inductive logic programming, Machine Learning, April-May 2001, vol. 43, pp. 121-162. [ps]

D. Kazakov and D. Kudenko. Machine Learning and Inductive Logic Programming for Multi-Agent Systems. In M. Luck, V. Marik and O. Stepankova (eds.), Multi-Agent Systems and Applications, Springer, 2001, series LNAI 2086, pp. 246-270. [ps | ps.gz | tutorial slides]

Ljupco Todorovski, Irene Weber, Nada Lavrac, Olga Stepánková, Saso Dzeroski, Dimitar Kazakov, Darko Zupanic, and Peter Flach. Chapter Internet Resources on ILP for KDD Relational Data Mining, in S. Dzeroski and N. Lavrac, editors, Relational Data Mining, pages 375-388. Springer, Berlin, 2001.

D. Kazakov. Coordination of Student Project Allocation. YCAP project, University of York, 2001. (22 p.) [pdf]
 

2000

D. Kazakov. Achievements and prospects of learning word morphology with inductive logic programming. In James Cussens and Saso Dzeroski, editors, Learning Language in Logic, pages 89-109. Springer, 2000. Lecture Notes in Computer Science. Vol.. 1925, ISBN 3-540-41145-3.  [ps.gz]

D. Kazakov.  Natural  Language Processing  Applications  of Machine Learning.  PhD Thesis,  Czech Technical  University,  Prague, January 2000 (unpublished). [ps.gz]
 

1999

Dimitar Kazakov. Combining LAPIS and WordNet for the learning of LR parsers with optimal semantic constraints. In Saso Dzeroski and Peter Flach, editors, The Ninth International Workshop ILP-99, Bled, Slovenia, 1999. Series LNAI, vol. 1634, Springer-Verlag. ISBN 3-540-66109-3. [ps.gz]

Dimitar Kazakov, Suresh Manandhar, and Tomaz Erjavec. Learning word segmentation rules for tag prediction. In Saso Dzeroski and Peter Flach, editors, The Ninth International Workshop ILP-99, Bled, Slovenia, 1999. Series LNAI, vol. 1634, Springer-Verlag. ISBN 3-540-66109-3. [ps]
 

1998

Dimitar Kazakov and Suresh Manandhar. A hybrid approach to word segmentation. In C. D. Page, editor, Proc. of the 8th International Workshop on Inductive Logic Programming (ILP-98) in Madison, Wisconsin, USA. Series LNAI, vol. 1446, Springer-Verlag, 1998. ISBN 3-540-64738-4. [ps.gz]

Libor Jelínek, Dimitar Kazakov, Karel Maly and Olga Stepánková. Speech support for robot control. In Proc. of the Eighth International Symposium on Measurement and Control in Robotics, Prague, Czech Republic, June 1996.

D. Kazakov, S. Pulman and S.Muggleton. The FraCaS dataset and the LLL challenge. Technical report, SRI International, Cambridge, 1998.
 

1997

Dimitar Kazakov. Unsupervised learning of naïve morphology with genetic algorithms. In A. van den Bosch, W. Daelemans and A. Weijters, editors, Workshop Notes of the ECML/MLnet Workshop on Empirical Learning of Natural Language Processing Tasks, pages 105-112, Prague, Czech Republic, April 1997.  [ps]

Dimitar Kazakov, Libor Jelinek, Karel Maly, and Olga Stepankova. Man-robot natural language interaction project - a year later. Technical report, The Gerstner Laboratory for Intelligent Decision Making, CTU, Prague, 1997.

Libor Jelinek and Dimitar Kazakov. A prototype of multi-level spoken language processing. In The Seventh Czech-German Workshop on Speech Processing, Prague, 1997.
 

1996

N. Lavrac, D. Zupanic, I. Weber, D. Kazakov, O. Stepankova, and S. Dzeroski. ILPNET repositories on WWW: Inductive Logic Programming Systems, Datasets and Bibliography. AI Communications, vol.9, No.4, 1996.

Dimitar Kazakov. Inductive Learning of LR parsers from treebanks. Technical report No 96 D 015, ENST, Paris, 1996, ISSN 0751-1345.

Dimitar Kazakov. An inductive approach to natural language parser design. In Kemal Oflazer and Harold Somers, editors, Proceedings of NeMLaP-2, pages 209-217, Ankara, 1996. Bilkent University.

Libor Jelinek and Dimitar Kazakov. Man-robot natural language interaction. Technical Report GL9/96, The Gerstner Laboratory for Intelligent Decision Making, Czech Technical University, Prague, 1996.
 

1993

Dimitar Kazakov. Modul pro komunikaci v p{\v r}irozen{\' em} jazyce. Master's thesis, Czech Technical University, Prague, 1993. (In Czech.)



Last updated: 17 May 2005