Dimitar Lubomirov Kazakov

Search results

• 2024

  Exploring COVID-19 Vital Signs using Bayesian Network Causal Graph

  Qomariyah, N. N., Handhayani, T., Asri, S. D. A. & Kazakov, D. L., 16 Apr 2024, Second International Conference on Software Engineering and Information Technology (ICoSEIT). IEEE, p. 37-41 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Meta-Evaluation of Sentence Simplification Metrics

  Alfear, N., Kazakov, D. L. & Al-Khalifa, H., 25 May 2024, Proceedings of LREC-COLING 2024: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. Turin, Italy, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• 2022

  NLP Analysis of COVID-19 Radiology Reports in Indonesian using IndoBERT

  Qomariyah, N. N., Sun, T. & Kazakov, D. L., 18 Oct 2022, Proceedings of the 4th International Conference on Biomedical Engineering (IBIOMED). Yogakarta, Indonesia: IEEE, p. 65-70 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2021

  An XGBoost Model for Age Prediction from COVID-19 Blood Test

  Qomariyah, N. N., Purwita, A. A., Astriani, M. S., Asri, S. D. A. & Kazakov, D. L., 16 Dec 2021, Proceedings of the 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples

  Qomariyah, N. N., Purwita, A. A., Asri, S. D. A. & Kazakov, D. L., 13 Sept 2021, 2021 International Conference on ICT for Smart Society (ICISS), Proc. of. IEEE, 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• Ontology Graph Embeddings and ILP for Financial Forecasting

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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• Utilizing Chest X-rays for Age Prediction and Gender Classification

  Solomou, C. & Kazakov, D. L., 16 Dec 2021, Proceedings of the 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• Warrant generation through deep learning

  Alkhawaldeh, F., Yuan, T. & Kazakov, D. L., 27 Nov 2021, Seventh International Conference on Natural Language Computing (NATL 2021), Proc. of. Wyld, D. C. & al., E. (eds.). AIRCC Publishing Corporation, p. 53-75 23 p. (Computer Science & Information Technology (CS & IT)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• 2020

  CONNER: A Concurrent ILP Learner in Description Logic

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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• 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 proceeding › Conference contribution

  Open Access

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• 2019

  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 proceeding › Conference contribution

  Open Access

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• 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 proceeding › Conference contribution

  Open Access

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• 2018

  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 proceeding › Conference contribution

  Open Access

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• 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 proceeding › Conference contribution

  Open Access

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• 2017

  Building Dialectal Arabic Corpora

  Elgabou, H. A. M. & Kazakov, D. L., 7 Sept 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 proceeding › Conference contribution

  Open Access

• 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 proceeding › Conference contribution

• Learning from Ordinal Data with Inductive Logic Programming in Description Logic

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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• 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 Sept 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 proceeding › Conference contribution

  Open Access

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• 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 proceeding › Conference contribution

• 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 proceeding › Conference contribution
• 2016

  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 proceeding › Conference contribution

  Open Access

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• 2015

  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 proceeding › Conference contribution
• 2013

  Using parallel corpora for word sense disambiguation

  Shahid, A. R. & Kazakov, D. L., 2013, RANLP-13. Hissar, Bulgaria

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2012

  A learning adaptive Bollinger band system

  Butler, M. R. & Kazakov, D. L., 2012, 2012 IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr 2012): New York City, New York, USA, 29-30 March 2012. New York: IEEE, p. 40-47 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Testing Implications of the Adaptive Market Hypothesis via Computational Intelligence

  Kazakov, D. L. & Butler, M. R., 2012, Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012 IEEE Conference on . IEEE, p. 1-8

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

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• 2011

  Probabilistic Instruction Cache Analysis using Bayesian Networks

  Bartlett, M., Bate, I., Cussens, J. & Kazakov, D., 2011, Proceedings of the 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2011). Vol. 1. p. 233 - 242

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• The effects of variable stationarity in a financial time-series on Artificial Neural Networks

  Butler, M. & Kazakov, D., 1 Apr 2011, 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr). Paris: IEEE, p. 1 -8 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2009

  AUTOMATIC MULTILINGUAL LEXICON GENERATION USING WIKIPEDIA AS A RESOURCE

  Shahid, A. R. & Kazakov, D., 2009, ICAART 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE. Fred, A. (ed.). SETUBAL: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, p. 357-360 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• EQUATION DISCOVERY FOR MACROECONOMIC MODELLING

  Kazakov, D. & Tsenova, T., 2009, ICAART 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE. Fred, A. (ed.). SETUBAL: INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, p. 318-323 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Guaranteed Loop Bound Identification from Program Traces for WCET

  Bartlett, M., Bate, I. & Kazakov, D., 1 Apr 2009, Proceedings of the 15th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). LOS ALAMITOS: IEEE Computer Society, p. 287-294

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2008

  Challenges in Relational Learning for Real-Time Systems Applications

  Bartlett, M., Bate, I. & Kazakov, D., 2008, INDUCTIVE LOGIC PROGRAMMING, ILP 2008. Zelezny, F. & Lavrac, N. (eds.). BERLIN: Springer, Vol. 5194 LNAI. p. 42-58 17 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• New Directions in Worst-Case Execution Time Analysis

  Bate, I. & Kazakov, D., 2008, 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8. NEW YORK: IEEE, p. 3545-3552 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• New Directions in Worst-Case Execution Time Analysis

  Bate, I. & Kazakov, D., 2008, IEEE Congress on Evolutionary Computation (IEEE CEC 2008) within.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2006

  A study of concurrency in the Ant Colony System algorithm

  Ridge, E., Kudenko, D. & Kazakov, D., 2006, 2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6. NEW YORK: IEEE, p. 1647-1654 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• System of systems hazard analysis using simulation and machine learning

  Alexander, R., Kazakov, D. & Kelly, T., 2006, COMPUTER SAFETY, RELIABILITY, AND SECURITY, PROCEEDINGS: 25th Annual Conference, SAFECOMP 2006. Gorski, J. (ed.). BERLIN: Springer, p. 1-14 14 p. (Lecture Notes in Computer Science; vol. 4166).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Towards New Methods for Developing Real-Time Systems: Automatically Deriving Loop Bounds Using Machine Learning

  Kazakov, D. & Bate, I., 2006, Proceedings of the 11th IEEE International Conference on Emerging Technologies and Factory Automation. p. 421-428 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2005

  Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning

  Kudenko, D. & Kazakov, D., 2005, Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Comparing resource sharing with information exchange in co-operative agents, and the role of environment structure

  Bartlett, M. & Kazakov, D., 2005, ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS II. Kudenko, D., Kazakov, D. & Alonso, E. (eds.). BERLIN: Springer, p. 41-54 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Evolving the game of life

  Kazakov, D. & Sweet, M., 2005, ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS II. Kudenko, D., Kazakov, D. & Alonso, E. (eds.). BERLIN: Springer, p. 132-146 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2004

  Social learning through evolution of language

  Kazakov, D. & Bartlett, M., 2004, ARTIFICIAL EVOLUTION. Liardet, P., Collet, P., Fonlupt, C., Lutton, E. & Schoenauer, M. (eds.). BERLIN: Springer, p. 397-408 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2003

  Stochastic simulation of inherited kinship-driven altruism

  Turner, H. & Kazakov, D., 2003, ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS. Alonso, E., Kudenko, D. & Kazakov, D. (eds.). BERLIN: Springer, p. 187-201 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 1999

  Combining LAPIS and WordNet for the learning of LR parsers with optimal semantic constraints

  Kazakov, D., 1999, INDUCTIVE LOGIC PROGRAMMING. Dzeroski, S. & Flach, P. (eds.). BERLIN: Springer, p. 140-151 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning word segmentation rules for tag prediction

  Kazakov, D., Manandhar, S. & Erjavec, T., 1999, INDUCTIVE LOGIC PROGRAMMING. Dzeroski, S. & Flach, P. (eds.). BERLIN: Springer, p. 152-161 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution