doc. Ing. Evženie Uglickich, CSc.

Working place:

Department of Applied Mathematics (16111)

Room:

F408 - Na Florenci 25, Praha

Phone:

+420-224358448
+420-224890727

E-mail:

uglickich@fd.cvut.cz

Personal website: http://staff.utia.cas.cz/uglickich/

E-mail:: uglickich@fd.cvut.cz

consultation

Head of student project:

: Digital twins for transportation in Smart Cities
11X1GM - Bachelor's Degree Programme
11X1GS - Bachelor's Degree Programme

Professional focus:

* information comes from a university database V3S

1.	Conditional histogram analysis of discrete questionnaire data Reznychenko, T., Uglickich, E., Nagy, I. 2023 Smart City Symposium Prague. New York: IEEE Transactions on Acoustics, Speech, and Signal Processing, 2023. p. 1-6. ISBN 979-8-3503-2162-3. link to the article

Count Predictive Model with Mixed Categorical and Count Explanatory Variables
Uglickich, E., Nagy, I., Reznychenko, T.
Proceedings of the The 12th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) IDAACS’2023. Dortmund: IEEE, 2023. p. 51-56. ISBN 979-8-3503-5804-9. ISSN 2770-4254.

Prediction of overdispersed count data using real-time cluster-based discretization of explanatory variables
Uglickich, E., Nagy, I.
Informatics in Control, Automation and Robotics. ICINCO 2021. Lecture Notes in Electrical Engineering, vol 1006.Springer, Cham, 2023. p. 163-184. ISBN 978-3-031-26474-0. ISSN 1876-1119.
link to the article

4.	Hand detection application based on QRD RLS lattice algorithm and its implementation on Xilinx Zynq Ultrascale+ Likhonina, R., Uglickich, E. Neural Network World. 2022, 32(2), p. 73-92. ISSN 1210-0552. link to the article

5.	Modeling of discrete questionnaire data with dimension reduction Jozová, Š., Uglickich, E., Nagy, I., Likhonina, R. Neural Network World. 2022, 32(1), p. 15-41. ISSN 1210-0552. link to the article

6.	Bayesian Mixture Estimation without Tears Jozová, Š., Uglickich, E., Nagy, I. Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO. Setùbal: SciTePress, 2021. p. 641-648. ISBN 978-989-758-522-7. ISSN 2184-2809. link to the article

Prediction of Multimodal Poisson Variable using Discretization of Gaussian Data
Uglickich, E., Nagy, I., Petrouš, M.
Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO. Setùbal: SciTePress, 2021. p. 600-608. ISBN 978-989-758-522-7. ISSN 2184-2809.
link to the article

Modeling of mixed data for Poisson prediction
Petrouš, M., Uglickich, E.
Proceedings of the IEEE 14th International Symposium on Applied Computational Intelligence and Informatics SACI 2020. Budapest: IEEE Hungary Section, University Obuda, 2020. p. 77-82. ISBN 978-1-7281-7377-1.
link to the article

9.	Rayleigh model fitting to nonnegative discrete data Petrouš, M., Uglickich, E. 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES). Budapest: IEEE Hungary Section, University Obuda, 2020. p. 67-72. ISBN 978-1-7281-1059-2. ISSN 1543-9259. link to the article

10.	Comparing clusterings using combination of the kappa statistic and entropy-based measure Uglickich, E., Nagy, I., Vlčková, D. METRON. 2019, 77(3), p. 253-270. ISSN 0026-1424. link to the article

11.

Modeling of passenger demand using mixture of Poisson components
Petrouš, M., Suzdaleva, E., Nagy, I.
Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019). Madeira: SciTePress, 2019. p. 617-624. ISBN 978-989-758-380-3.
link to the article

12.

Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data
Suzdaleva, E., Nagy, I.
Informatics in Control, Automation and Robotics. ICINCO 2017. Lecture Notes in Electrical Engineering..Springer, Cham, 2019. p. 679-698. ISBN 978-3-030-11292-9. ISSN 1876-1119.
link to the article

13.	Two-layer pointer model of driving style depending on the driving environment Suzdaleva, E., Nagy, I. Transportation Research Part B: Methodological. 2019, 128(0), p. 254-270. ISSN 0191-2615. link to the article

14.	Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components Nagy, I., Suzdaleva, E. Practical Issues of Intelligent Innovations. Studies in Systems, Decision and Control.Springer, Cham, 2018. p. 313-330.

15.	Mixture Initialization Based on Prior Data Visual Analysis Suzdaleva, E., Nagy, I. Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications. Studies in Computational Intelligence..Springer, Cham, 2018. ISBN 978-3-319-78931-6. ISSN 1860-9503. link to the article

16.	Algorithms and Programs of Dynamic Mixture Estimation. Unified Approach to Different Types of Components Nagy, I., Suzdaleva, E. ISBN 978-3-319-64670-1. ISSN 2191-544X. link to the article

17.	An online estimation of driving style using data-dependent pointer model Suzdaleva, E., Nagy, I. Transportation Research Part C: Emerging Technologies. 2017, p. 23-36. ISSN 0968-090X. link to the article

18.

Clustering with a Model of Sub-Mixtures of Different Distributions
Nagy, I., Suzdaleva, E., Petrouš, M.
Intelligent Systems and Informatics (SISY), 2017 IEEE 15th International Symposium on. Budapest: IEEE Hungary Section, University Obuda, 2017. ISBN 978-1-5386-3855-2. ISSN 1949-0488.
link to the article

19.

Initialization of Recursive Mixture-based Clustering with Uniform Components
Suzdaleva, E., Nagy, I., Pecherková, P., Likhonina, R.
Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. Madeira: SciTePress, 2017. ISBN 978-989-758-263-9.
link to the article

20.

Recursive Clustering Hematological Data Using Mixture of Exponential Components
Suzdaleva, E., Nagy, I., Petrouš, M.
Proceedings of International Conference on Intelligent Informatics and BioMedical Sciences ICIIBMS 2017. Okinawa: Okinawa Institute of Science and Technology, 2017. p. 63-70. ISBN 978-1-5090-6664-3. ISSN 2189-8723.

21.

Comparison of Various Definitions of Proximity in Mixture Estimation
Nagy, I., Suzdaleva, E., Pecherková, P.
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016). Porto: SciTePress - Science and Technology Publications, 2016. ISBN 978-989-758-198-4.

22.	Expert-based Initialization of Recursive Mixture Estimation Suzdaleva, E., Nagy, I., Mlynářová, T. 2016 IEEE 8th International Conference on Intelligent Systems (IS). Sofia: IEEE, 2016. ISBN 978-1-5090-1354-8. link to the article

23.	Mixture-based Clustering Non-gaussian Data with Fixed Bounds Nagy, I., Suzdaleva, E., Mlynářová, T. 2016 IEEE 8th International Conference on Intelligent Systems (IS). Sofia: IEEE, 2016. p. 265-271. ISBN 978-1-5090-1354-8. link to the article

24.	On-line mixture-based alternative to logistic regression Nagy, I., Suzdaleva, E. Neural Network World. 2016, 26(5), p. 417-437. ISSN 1210-0552. link to the article

25.	Mixture Multi-Step-Ahead Prediction Nagy, I., Suzdaleva, E., Mlynářová, T. Proceedings of the 16th conference of the Applied Stochastic Models and Data Analysis (ASMDA) International Society. Piraeus: University of Piraeus, Greece, 2015. p. 727-738.

26.	Mixture-based cluster detection in driving-related data Nagy, I., Suzdaleva, E., Pecherková, P., Urbaniec, K. 2015 Smart Cities Symposium Prague (SCSP). New York: IEEE Press, 2015. ISBN 978-1-4673-6727-1. link to the article

27.

Recursive Estimation of Mixtures of Exponential and Normal Distributions
Suzdaleva, E., Nagy, I., Mlynářová, T.
Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Ternopil: Ternopil National Economic University, 2015. p. 137-142. ISBN 9781467383615.

28.	Data-based speed-limit-respecting eco-driving system Suzdaleva, E., Nagy, I. Transportation Research Part C: Emerging Technologies. 2014, 44(0), p. 253-264. ISSN 0968-090X. link to the article

29.	Double Optimization of Fuel Consumption and Speed Tracking Suzdaleva, E., Nagy, I., Pavelková, L., Mlynářová, T. Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processingn. Caen: IFAC, 2013. p. 305-310. ISBN 978-3-902823-37-3.

30.	Mixture estimation with state-space components and Markov model of switching Nagy, I., Suzdaleva, E. Applied Mathematical Modelling. 2013, 37(24), p. 9970-9984. ISSN 0307-904X.

31.	Optimization of Driving Based on Currently Measured Data Nagy, I., Suzdaleva, E., Mlynářová, T. Proceedings of 16th International IEEE Conference on Intelligent Transportation Systems. Red Hook, NY: Curran Associates, 2013. p. 2088-2093. ISBN 978-1-4799-2914-6. ISSN 2153-0009.

32.	Validation Experiments for Fuel Consumption Optimization Algorithm Nagy, I., Suzdaleva, E., Pecherková, P. Proceedings of the 11th European Transport Congress. Praha: České vysoké učení technické v Praze, Fakulta dopravní, 2013. p. 178-184. ISBN 978-80-01-05321-8.

33.	Fuel Consumption Optimization: Early Experiments Suzdaleva, E., Nagy, I., Pavelková, L. Proceedings of the 16th IFAC Symposium on System Identification. Laxenburg: IFAC, 2012. p. 751-756. ISBN 978-3-902823-06-9. ISSN 1474-6670.

34.	Online soft sensor for hybrid systems with mixed contimuous and discrete measurements Suzdaleva, E., Nagy, I. Computers and Chemical Engineering. 2012, 10(36), p. 294-300. ISSN 0098-1354. link to the article

35.	Recursive state estemation for hybrid systems Suzdaleva, E., Nagy, I. Applied Mathematical Modelling. 2012, 36(4), p. 1347-1356. ISSN 0307-904X. link to the article

36.	Servo Problem within Fuel Consumption Optimization Suzdaleva, E., Nagy, I., Pavelková, L., Mlynářová, T. Proceedings of the IASTED International Conference on Engineering and Applied Science. Calgary: IASTED, 2012. p. 100-107. ISBN 978-0-88986-941-7.

37.	Bayesian estimation of dynamic finite mixtures Nagy, I., Suzdaleva, E., Kárný, M., Mlynářová, T. International Journal of Adaptive Control and Signal Processing. 2011, 9(25), p. 765-787. ISSN 0890-6327.

38.	Bayesian estimation of mixtures with dynamic transitions and known component parameters Nagy, I., Suzdaleva, E., Kárný, M. Kybernetika. 2011, 4(47), p. 572-594. ISSN 0023-5954.

39.

Comparison of State Estimation Using Finite Mixtures and Hidden Markov Models
Nagy, I., Suzdaleva, E., Mlynářová, T.
IDAACS'2011 - Proceedings of the 6th IEEE International Cnonference on Intelligent Data Acquisition and Advanced Computing Systems. Prague: IEEE, THEY, CTU, 2011. p. 527-531. ISBN 978-1-4577-1423-8.

40.	Online filtering for hybrid systems Suzdaleva, E., Nagy, I., Dungl, M. Proceedings of the 14th Applied Stochastic Models and Data Analysis Conference. Roma: Universita di Roma, 2011. p. 1299-1306. ISBN 978-88-467-3045-9.

41.	Prior knowledge processing for initial state of Kalman filter Suzdaleva, E. International Journal of Adaptive Control and Signal Processing. 2010, 24(3), p. 188-202. ISSN 0890-6327.

42.	Teaching System for Advanced Statistics Nagy, I., Homolová, J., Suzdaleva, E. FOSLET 2006. Lugano: Impressum, 2006. p. 13-20.

* information comes from a university database V3S
No data found.

CTU FTS Dean

Course supervisor in bachelor's or master's study:

Lecturer in the Bachelor's and Master's degree programme:

Supervisor of doctoral students:

Head of student project:

Professional focus: