Doc. Ing. Evženie Uglickich, CSc.

Research fellow

Evženie Uglickich
uglickich@utia.cas.cz 266052358
Department: Department of Signal Processing
Research interests: recursive Bayesian algorithms in data analysis

Biography

Publication list

Courses at Faculty of Transportation CTU in Prague: 

Ph.D. Students:

  • Tetiana Reznychenko

Graduates:

  • Raissa Likhonina

Current EU R&D projects:

Past EU R&D projects:

Past national R&D projects:

Books and chapters

  1. Uglickich Evženie, Nagy Ivan: Prediction of overdispersed count data using real-time cluster-based discretization of explanatory variables, Informatics in Control, Automation and Robotics. ICINCO 2021 : Revised Selected Papers, p. 163-184, Eds: Gusikhin O., Madani K., Nijmeijer H. Download DOI: 10.1007/978-3-031-26474-0_9 [2023]
  2. Suzdaleva Evženie, Nagy Ivan: Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data, Informatics in Control, Automation and Robotics. ICINCO 2017., p. 679-698, Eds: Gusikhin O., Madani K. Download DOI: 10.1007/978-3-030-11292-9_34 [2020]
  3. Suzdaleva Evgenia, Nagy Ivan: Mixture Initialization Based on Prior Data Visual Analysis, Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications, p. 29-49, Eds: Hadjiski M., Atanassov K. Download DOI: 10.1007/978-3-319-78931-6_3 [2019]
  4. Nagy Ivan, Suzdaleva Evgenia: Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components, Practical Issues of Intelligent Innovations. Studies in Systems, Decision and Control, p. 313-330, Eds: Sgurev V., Jotsov V., Kacprzyk J. Download DOI: 10.1007/978-3-319-78437-3_14 [2018]
  5. Nagy Ivan, Suzdaleva Evgenia: Algorithms and Programs of Dynamic Mixture Estimation. Unified Approach to Different Types of Components, Springer (Cham, 2017) Download DOI: 10.1007/978-3-319-64671-8 [2017]

Journal articles

  1. Uglickich Evženie, Nagy Ivan: Poisson-based framework for predicting count data: Application to traffic counts in Prague areas, Journal of Computational Science 85 Download Download DOI: 10.1016/j.jocs.2025.102534 [2025]
  2. Uglickich Evženie, Nagy Ivan: 3D Local Crime Type Models Based on Crime Hotspot Detection, Neural Network World 34 2 (2024), p. 89-110 Download Download DOI: 10.14311/NNW.2024.34.006 [2024]
  3. Uglickich Evženie, Nagy Ivan: Using Poisson proximity-based weights for traffic flow state prediction, Neural Network World 33 4 (2023), p. 291-315 Download Download DOI: 10.14311/NNW.2023.33.017 [2023]
  4. Likhonina Raissa, Uglickich Evženie: Hand detection application based on QRD RLS Lattice algorithm and its implementation on Xilinx Zynq Ultrascale+, Neural Network World 32 2 (2022), p. 73-92 Download Download DOI: 10.14311/NNW.2022.32.005 [2022]
  5. Jozová Šárka, Uglickich Evženie, Nagy Ivan, Likhonina Raissa: Modeling of discrete questionnaire data with dimension reduction, Neural Network World 32 1 (2022), p. 15-41 Download Download DOI: 10.14311/NNW.2022.32.002 [2022]
  6. Uglickich Evženie, Nagy Ivan, Vlčková D.: Comparing clusterings using combination of the kappa statistic and entropy-based measure, Metron 77 3 (2019), p. 253-270 Download Download DOI: 10.1007/s40300-019-00162-5 [2019]
  7. Suzdaleva Evženie, Nagy Ivan: Two-layer pointer model of driving style depending on the driving environment, Transportation Research. Part B: Methodological 128 1 (2019), p. 254-270 Download Download DOI: 10.1016/j.trb.2019.08.009 [2019]
  8. Suzdaleva Evgenia, Nagy Ivan: An online estimation of driving style using data-dependent pointer model, Transportation Research. Part C: Emerging Technologies 86 1 (2018), p. 23-36 Download DOI: 10.1016/j.trc.2017.11.001 [2018]
  9. Nagy Ivan, Suzdaleva Evgenia: On-line mixture-based alternative to logistic regression, Neural Network World 26 5 (2016), p. 417-437 Download DOI: 10.14311/NNW.2016.26.024 [2016]
  10. Suzdaleva Evgenia, Nagy Ivan: Data-based Speed-limit-respecting Eco-driving System, Transportation Research. Part C: Emerging Technologies 44 1 (2014), p. 253-264 Download DOI: 10.1016/j.trc.2014.04.009 [2014]
  11. Nagy Ivan, Suzdaleva Evgenia: Mixture estimation with state-space components and Markov model of switching, Applied Mathematical Modelling 37 24 (2013), p. 9970-9984 Download DOI: 10.1016/j.apm.2013.05.038 [2013]
  12. Suzdaleva Evgenia, Nagy I.: Recursive state estimation for hybrid systems, Applied Mathematical Modelling 36 4 (2012) Download DOI: 10.1016/j.apm.2011.08.042 [2012]
  13. Suzdaleva Evgenia, Nagy Ivan: Online soft sensor for hybrid systems with mixed continuous and discrete measurements, Computers and Chemical Engineering 36 10 (2012), p. 294-300 Download DOI: 10.1016/j.compchemeng.2011.09.004 [2012]
  14. Nagy I., Suzdaleva Evgenia, Kárný Miroslav: Bayesian estimation of mixtures with dynamic transitions and known component parameters, Kybernetika 47 4 (2011), p. 572-594 Download [2011]
  15. Nagy Ivan, Suzdaleva Evgenia, Kárný Miroslav, Mlynářová T.: Bayesian estimation of dynamic finite mixtures, International Journal of Adaptive Control and Signal Processing 25 9 (2011), p. 765-787 Download DOI: 10.1002/acs.1239 [2011]
  16. Suzdaleva Evgenia: Prior knowledge processing for initial state of Kalman filter, International Journal of Adaptive Control and Signal Processing 24 3 (2010), p. 188-202 Download DOI: 10.1002/acs.1106 [2010]
  17. Suzdaleva Evgenia, Nedoma Petr: Education tools for dynamic Bayesian decision-making, WSEAS Transactions on Advances in Engineering Education 5 3 (2006), p. 288-295 Download [2006]
  18. Suzdaleva Evgenia: Libre courseware for Bayesian decision making, E-learning and Education (eleed) 1 2 (2005), p. 1-3 [2005]

Other publications

  1. Sedláček O., Uglickich Evženie: Calculating Electric Vehicle Range Using Dynamic Programming with Battery Current and Velocity Setpoints, ÚTIA AV ČR (Prague, 2024) Download [2024]
  2. Reznychenko T., Uglickich Evženie, Nagy Ivan: Accuracy Comparison of Logistic Regression, Random Forest, and Neural Networks Applied to Real MaaS Data, 2024 Smart City Symposium Prague (SCSP) Download Download DOI: 10.1109/SCSP61506.2024.10552715 [2024]
  3. Uglickich Evženie, Nagy Ivan, Kumpošt P., Richter P.: Datasets: Traffic Counts in Prague (2024) Download [2024]
  4. Uglickich Evženie, Nagy Ivan, Reznychenko T.: Count Predictive Model with Mixed Categorical and Count Explanatory Variables, Proceedings of the The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS'2023, p. 51-56 Download [2023]
  5. Reznychenko T., Uglickich Evženie, Nagy Ivan: Conditional histogram analysis of discrete questionnaire data, 2023 Smart City Symposium Prague (SCSP), p. 1-6 Download DOI: 10.1109/SCSP58044.2023.10146233 [2023]
  6. Likhonina Raissa, Kadlec Jiří, Uglickich Evženie: Hand detection ultrasound based application implemented on the FPGA platform, Book of abstracts. 6th International Caparica Conference on Ultrasonic-based applications from analysis to synthesis, p. 107-107 [2023]
  7. Uglickich Evženie, Nagy Ivan: Recursive mixture estimation with univariate multimodal Poisson variable, UTIA AV ČR, v. v. i., (Prague, 2022) Download [2022]
  8. Jozová Šárka, Uglickich Evženie, Nagy Ivan: Bayesian Mixture Estimation without Tears, Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, p. 641-648, Eds: Gusikhin O., Nijmeijer H., Madani K. Download DOI: 10.5220/0010508706410648 [2021]
  9. Uglickich Evženie, Nagy Ivan, Petrouš Matej: Prediction of Multimodal Poisson Variable using Discretization of Gaussian Data, Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics, p. 600-608, Eds: Gusikhin O., Nijmeijer H., Madani K. Download DOI: 10.5220/0010575006000608 [2021]
  10. Petrouš Matej, Uglickich Evženie: Rayleigh model fitting to nonnegative discrete data, Proceedings of 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES), p. 67-72 Download DOI: 10.1109/INES49302.2020.9147173 [2020]
  11. Petrouš Matej, Uglickich Evženie: Modeling of mixed data for Poisson prediction, Applied Computational Intelligence and Informatics (SACI) : 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI), p. 77-82 Download DOI: 10.1109/SACI49304.2020.9118836 [2020]
  12. Petrouš Matej, Suzdaleva Evženie, Nagy Ivan: Modeling of passenger demand using mixture of Poisson components, Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019), p. 617-624, Eds: Gusikhin Oleg, Madani Kurosh, Zaytoon Janan Download [2019]
  13. Nagy Ivan, Suzdaleva Evženie, Pecherková Pavla: Clustering and Classification Using Recursive Mixture Estimation. Software package (2018) Download Download [2018]
  14. Suzdaleva Evgenia, Nagy Ivan, Petrouš Matej: Recursive Clustering Hematological Data Using Mixture of Exponential Components, Proceedings of International Conference on Intelligent Informatics and BioMedical Sciences ICIIBMS 2017, p. 63-70 Download DOI: 10.1109/ICIIBMS.2017.8279700 [2017]
  15. Nagy Ivan, Suzdaleva Evgenia, Petrouš Matej: Clustering with a Model of Sub-Mixtures of Different Distributions, Proceedings of IEEE 15th International Symposium on Intelligent Systems and Informatics SISY 2017, p. 315-320 Download DOI: 10.1109/SISY.2017.8080574 [2017]
  16. Suzdaleva Evgenia, Nagy Ivan, Pecherková Pavla, Likhonina Raissa: Initialization of Recursive Mixture-based Clustering with Uniform Components, Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017), p. 449-458 Download DOI: 10.5220/0006417104490458 [2017]
  17. Suzdaleva Evgenia, Nagy Ivan, Mlynářová Tereza: Expert-based Initialization of Recursive Mixture Estimation, Proceedings of 2016 IEEE 8th International Conference on Intelligent Systems, p. 308-315 Download DOI: 10.1109/IS.2016.7737439 [2016]
  18. Nagy Ivan, Suzdaleva Evgenia, Mlynářová Tereza: Mixture-based Clustering Non-gaussian Data with Fixed Bounds, Proceedings of 2016 IEEE 8th International Conference on Intelligent Systems, p. 265-271 Download DOI: 10.1109/IS.2016.7737431 [2016]
  19. Likhonina Raissa, Suzdaleva Evgenia, Nagy Ivan: Comparison of mixture-based classification with the data-dependent pointer model for various types of components, ÚTIA AV ČR (Praha, 2016) Download [2016]
  20. Nagy Ivan, Suzdaleva Evgenia, Pecherková Pavla: Comparison of Various Definitions of Proximity in Mixture Estimation, Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), p. 527-534 Download DOI: 10.5220/0005982805270534 [2016]
  21. Nagy Ivan, Suzdaleva Evgenia, Mlynářová Tereza: Mixture Multi-Step-Ahead Prediction, Proceedings of the 16th conference of the Applied Stochastic Models and Data Analysis (ASMDA) International Society, p. 727-738 Download [2015]
  22. Suzdaleva Evgenia, Nagy Ivan, Mlynářová Tereza: Recursive Estimation of Mixtures of Exponential and Normal Distributions, Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), p. 137-142 Download DOI: 10.1109/IDAACS.2015.7340715 [2015]
  23. Nagy Ivan, Suzdaleva Evgenia, Mlynářová Tereza: Optimization of Driving Based on Currently Measured Data, Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2013), p. 2088-2093 Download DOI: 10.1109/ITSC.2013.6728537 [2013]
  24. Nagy Ivan, Suzdaleva Evgenia, Pecherková P.: Validation Experiments for Fuel Consumption Optimization Algorithm, Proceedings of the 11th European Transport Congress, p. 178-184 Download [2013]
  25. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka, Mlynářová Tereza: Double Optimization of Fuel Consumption and Speed Tracking, Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, p. 305-310 Download [2013]
  26. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka, Mlynářová Tereza: Servo Problem within Fuel Consumption Optimization, Proceedings of the IASTED International Conference on Engineering and Applied Science, p. 100-107 Download [2012]
  27. Suzdaleva Evgenia, Nagy Ivan: Experiments with PID controller for fuel consumption optimization, ÚTIA AV ČR (Praha, 2012) Download [2012]
  28. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka: Fuel Consumption Optimization: Early Experiments, Proceedings of the 16th IFAC Symposium on System Identification, p. 751-756 Download DOI: 10.3182/20120711-3-BE-2027.00080 [2012]
  29. Nagy I., Suzdaleva Evgenia, Mlynářová Tereza: Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Application, p. 527-531 Download [2011]
  30. Suzdaleva Evgenia, Nagy Ivan, Dungl Martin: Online filtering for hybrid systems, Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference (ASMDA2011), p. 1299-1306 Download [2011]
  31. Suzdaleva Evgenia, Nagy Ivan: Recursive hybrid filter for systems with mixed observations, Abstracts of Contributions to 6th International Workshop on Data – Algorithms – Decision Making, p. 54-54, Eds: Ivánek Jiří, Janžura Martin Download [2010]
  32. Suzdaleva Evgenia, Nagy Ivan, Dungl Martin: Example creation system, UTIA AV CR (Praha, 2010) Download [2010]
  33. Suzdaleva Evgenia, Nagy Ivan, Šmídl Václav: Fully Probabilistic Dynamic Decision Making. Examples to textbook (2009) [2009]
  34. Suzdaleva Evgenia, Nagy Ivan: Joint estimation of Gaussian and multinomial states, Abstracts of Contributions to 5th International Workshop on Data-Algorithms-Decision Making, p. 32-32, Eds: Janžura Martin, Ivánek Jiří Download [2009]
  35. Suzdaleva Evgenia, Nagy Ivan: Probabilistic Approach to Analysis of Death Traffic Accidents, Proceedings of 10th International PhD Workshop on Systems and Control, p. 1-5 Download [2009]
  36. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka: Bayesian filtering with discrete-valued state, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, p. 1-4 Download [2009]
  37. Suzdaleva Evgenia: Filtering with mixed continuous and discrete states: special case, ÚTIA AV ČR (Praha, 2009) Download [2009]
  38. Suzdaleva Evgenia: Towards filtering with mixed-type states, Proceedings of the 9th International PhD Workshop on Systems and Control, Young Generation Viewpoint, p. 1-6, Eds: Gašperin Matej, Pregelj Boštjan Download [2008]
  39. Suzdaleva Evgenia: On new design of Kalman filter with entry-wise updating, Proceedings of the 8th WSEAS International Conference on Simulation, Modelling and Optimization (SMO'08), p. 246-251 Download [2008]
  40. Suzdaleva Evgenia: Filtering with discrete-valued states, ÚTIA AV ČR (Praha, 2008) Download [2008]
  41. Suzdaleva Evgenia: Factorized filtering with simultaneous data and time updating, ÚTIA AV ČR, v.v.i (Praha, 2008) Download [2008]
  42. Suzdaleva Evgenia: Overview of models with mixed-type data, ÚTIA AV ČR (Praha, 2007) Download [2007]
  43. Suzdaleva Evgenia: Entry-wise Kalman Filtering and Prior Knowledge Processing, ÚTIA AV ČR (Praha, 2007) Download [2007]
  44. Suzdaleva Evgenia: Early Experiments with Traffic System Model and Factorized Kalman Filtering, Proceedings of the IEEE Fourth International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, p. 345-350 Download [2007]
  45. Suzdaleva Evgenia: Initial Conditions for Kalman Filtering: Prior Knowledge Specification, Proceedings of the 7th WSEAS International Conference on Systems Theory and Scientific Computation (ISTASC'07), p. 45-49, Eds: Le Minh Hung, Demiralp Metin, Mladenov Valeri, Bojkovic Zoran Download [2007]
  46. Suzdaleva Evgenia: Factorized Kalman Filtering, Proceedings of the 7th International PhD Workshop: Interplay of Societal and Technical Decision-Making, Young Generation Viewpoint, p. 226-233, Eds: Přikryl J., Andrýsek J., Šmídl V. [2006]
  47. Suzdaleva Evgenia: Factorized Kalman Filtering, Proceedings of Abstracts of the 7th International PhD Workshop on Interplay of societal and technical decision-making, Young Generation Viewpoint, p. 51-52, Eds: Přikryl J., Šmídl V. [2006]
  48. Suzdaleva Evgenia: Towards state estimation in the factorized form, Proceedings of the 2nd International Conference Form Scientific Computing to Computational Engineering, p. 1-6 Download [2006]
  49. Suzdaleva Evgenia, Nedoma Petr: Interactive educational system for dynamic Bayesian decision-making, Proceedings of the WSEAS CSCC & EE International Conferences, p. 1-6, Eds: Bardis N., Mladenov V. [2006]
  50. Nagy Ivan, Homolová Jitka, Suzdaleva Evgenia: Teaching system for advanced statistics, FOSLET 2006. Proceedings of the Workshop on Free and Open Source Learning Environments and Tools, p. 13-20, Eds: Botturi L., Mazza R., Tardini S. Download [2006]
  51. Suzdaleva Evgenia, Kárný Miroslav: Factorized Filtering, ÚTIA AV ČR (Praha, 2006) Download [2006]
  52. Nedoma Petr, Kárný Miroslav, Suzdaleva Evgenia: Interactive Case Studies in Learning with Normal Probability Mixtures, ÚTIA AV ČR (Praha, 2005) [2005]
  53. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka, Homolová Jitka: EDUKALIBRE. Guide, ÚTIA AV ČR (Praha, 2005) Download [2005]
  54. Suzdaleva Evgenia: Bayesian decision making and e-learning: How to combine?, Proceedings of Abstracts of the 6th International PhD Workshop on Systems and Control a Young Generation Viewpoint, p. 90, Jozef Stefan Institute (Ljubljana, 2005) [2005]
  55. Suzdaleva Evgenia: On entry-wise organized filtering, Proceedings of the 15th International Conference on Process Control 2005, p. 1-6, Eds: Mikleš J., Dvoran J., Fikar M., Slovak University of Technology (Bratislava, 2005) Download [2005]
  56. Suzdaleva Evgenia: Math-oriented Open Source Courseware for Bayesian Decision Making., ÚTIA AV ČR (Praha, 2005) Download [2005]
  57. Suzdaleva Evgenia, Nagy Ivan: Bayesian Decision Making and E-learning: Interactive Examples, ÚTIA AV ČR (Praha, 2005) Download [2005]
  58. Suzdaleva Evgenia: Bayesian decision making and e-lerning: how to combine?, Proceedings of the 6th International PhD Workshop on Systems and Control, Young Generation Viewpoint, p. 1-6, Eds: Tinta D., Benko U. [2005]
  59. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka, Kárný Miroslav: EduKALIBRE EXAMPLES, ÚTIA AV ČR (Praha, 2005) [2005]
  60. Suzdaleva Evgenia: Web courses content for Bayesian decision making, Proceedings of the 5th International PhD Workshop on Systems and Control - a Young Generation Viewpoint, p. 1-6, Hungarian Academy of Sciences (Budapest, 2004) Download Download [2004]
  61. Suzdaleva Evgenia: Preparing the teaching material for web-educational courses, Proceedings of Abstracts: 5th International PhD Workshop on Systems and Control. Young Generation Viewpoint, p. 3-4 [2004]
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