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Type of addressPostal address
Postal codeYO10 5GH
CountryUnited Kingdom
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  • Computer Science
    University of York
    Deramore Lane
    York
    YO10 5GH

Phone: (01904) 325676

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Dr. Dimitar Lubomirov Kazakov

Senior Lecturer

  1. 2021
  2. Ontology Graph Embeddings and ILP for Financial Forecasting

    Erten, C. & Kazakov, D. L., 20 Sep 2021, (Accepted/In press) Inductive Logic Programming, Proceedings of the 30th International Conference. Springer, 14 p. (LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. 2020
  4. Pair Trading with an Ontology of SEC Financial Reports

    Erten, C., Chotai, N. & Kazakov, D. L., 1 Dec 2020, The 2020 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence for Financial Engineeting and Economics (CIFEr 2020). 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. CONNER: A Concurrent ILP Learner in Description Logic

    Algahtani, E. & Kazakov, D. L., 5 Jun 2020, (E-pub ahead of print) Inductive Logic Programming: 29th International Conference, ILP 2019. Springer, p. 1-15 15 p. (LNAI; no. 11770).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. 2019
  7. Unsupervised Learning of Functional Groups for Computational Chemistry

    Erten, C., Algahtani, E., Fairlamb, I. J. S., Garcia-Padilla, E., Lynam, J. M., Manandhar, S., Slattery, J. M. & Kazakov, D. L., 5 Sep 2019, p. 1-4.

    Research output: Contribution to conferenceAbstractpeer-review

  8. Deep Reinforcement Learning Based Parameter Control in Differential Evolution

    Sharma, M., Komninos, A., López-Ibáñez, M. & Kazakov, D. L., 13 Jul 2019, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. ACM, p. 709-717 (ACM Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Detecting Causal Links between Financial News and Stocks

    Qu, H. & Kazakov, D. L., 11 Jul 2019, Proceedings of IEEE Conference on Computational Intelligence for Financial Engineering and Economics: (CIFEr 2019). Shenzhen, China: IEEE, p. 156-163 9 p. (IEEE Symposium on Computational Intelligence for Financial Engineering and Economics).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. 2018
  11. Performance Assessment of Recursive Probability Matching for Adaptive Operator Selection in Differential Evolution

    Sharma, M., López-Ibáñez, M. & Kazakov, D. L., Sep 2018, 15th Intl Conf. on Parallel Problem Solving from Nature: (PPSN 2018). SPRINGER-VERLAG BERLIN, p. 321-333 13 p. (LNCS).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  12. Learning from Ordinal Data with Inductive Logic Programming in Description Logic

    Qomariyah, N. N. & Kazakov, D. L., 29 Mar 2018, Late Breaking Papers of the 27th International Conference on Inductive Logic Programming. Lachiche, N. & Vrain, C. (eds.). http://ceur-ws.org/Vol-2085/: CEUR Workshop Proceedings, Vol. 2085. p. 38-50 13 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Learning implicational models of universal grammar parameters

    Kazakov, D. L., Cordoni, G., Algahtani, E., Ceolin, A., Irimia, M-A., Kim, S-S., Michelioudakis, D., Radkevich, N., Guardiano, C. & Longobardi, G., 29 Jan 2018, The Evolution of Language: Proceedings of the 12th International Conference (EVOLANGXII). Cuskley, C., Flaherty, M., Little, H., McCrohon, L., Ravignani, A. & Verhoef, T. (eds.). Torun, Poland: Online at http://evolang.org/torun/proceedings/papertemplate.html?p=176, 10 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  14. GPU-Accelerated Hypothesis Cover Set Testing for Learning in Logic

    Algahtani, E. & Kazakov, D. L., 2018, (E-pub ahead of print) CEUR Proceedings of the 28th International Conference on Inductive Logic Programming. CEUR Workshop Proceedings

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. 2017
  16. Mixed Type Multi-attribute Pairwise Comparisons Learning

    Qomariyah, N. N. & Kazakov, D. L., 18 Dec 2017, Proc. of the 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017). IEEE, p. 1094-1097

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  17. Building Dialectal Arabic Corpora

    Elgabou, H. A. M. & Kazakov, D. L., 7 Sep 2017, The First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT). p. 52-57 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  18. Machine Learning Models of Universal Grammar Parameter Dependencies

    Kazakov, D. L., Cordoni, G., Ceolin, A., Irimia, M-A., Kim, S-S., Michelioudakis, D., Radkevich, N., Guardiano, C. & Longobardi, G., 1 Sep 2017, Proceedings of The Knowledge Resources for the Socio-Economic Sciences and Humanities Workshop. p. 31-37 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Learning from Ordinal Data with Inductive Logic Programming in Description Logic

    Qomariyah, N. N. & Kazakov, D. L., Sep 2017, Online proceedings of the 27th conference on Inductive Logic Programming.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Learning Binary Preference Relations: Analysis of Logic-based versus Statistical Approaches

    Qomariyah, N. N. & Kazakov, D. L., 27 Aug 2017, p. 30-34. 5 p.

    Research output: Contribution to conferencePaperpeer-review

  21. Hybridisation of Artificial Bee Colony Algorithm on Four Classes of Real-valued Optimisation Functions

    Sharma, M. & Kazakov, D. L., 15 Jul 2017, GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 1439-1442 4 p. (GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Quantifying Correlation between Financial News and Stocks

    Qu, H. & Kazakov, D. L., 13 Feb 2017, IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr). Athens: IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  23. 2016
  24. Syntactic theory and the science of (language) history

    Longobardi, G., Michelioudakis, D., Guardiano, C., Irimia, M-A., Radkevich, N., Kim, S-S., Cordoni, G., Ceolin, A. & Kazakov, D. L., Sep 2016.

    Research output: Contribution to conferenceAbstractpeer-review

  25. Integrating Time Series with Social Media Data in an Ontology for the Modelling of Extreme Financial Events

    Qu, H., Sardelich Nascimento, M., Qomariyah, N. N. & Kazakov, D. L., 23 May 2016, LREC 2016 Proceedings. Khan, F., Vintar, Š., Araúz, P. L., Faber, P., Frontini, F., Parvizi, A., Simeunović, L. G. & Unger, C. (eds.). European Language Resources Association (ELRA), Vol. Joint Second Workshop on Language and Ontology & Terminology and Knowledge Structures. p. 57-63

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  26. 2015
  27. Learning Ordinary Differential Equations for Macroeconomic Modelling

    Georgiev, Z. & Kazakov, D. L., Dec 2015, IEEE SSCI 2015: 2015 IEEE Symposium Series on Computational Intelligence. IEEE, p. 905-909 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  28. 2014
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