Doc. Ing. Ivan Nagy, CSc.

Research fellow

Ivan Nagy
nagy@utia.cas.cz 266052358
Department: Department of Signal Processing
Research interests: algorithms of transportation control and data analysis

Biography

Publication list

Courses at Faculty of Transportation CTU in Prague:

Graduates (doctoral):

  • Doc. Ing. Kamil Dedecius Ph.D.
  • Ing. Pavel Ettler Ph.D.
  • Ing. Jitka Homolová Ph.D.
  • Ing. Lenka Jonáková Ph.D.
  • Ing. Šárka Jozová Ph.D.
  • Ing. Lenka Kuklišová Pavelková Ph.D.
  • Ing. Tereza Mlynářová Ph.D.
  • Ing. Pavla Pecherková Ph.D.
  • Mgr. Pavel Provinský Ph.D.
  • Ing. Miroslav Vaniš Ph.D.
     

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]
  6. Kárný Miroslav, Böhm Josef, Guy Tatiana Valentine, Jirsa Ladislav, Nagy Ivan, Nedoma Petr, Tesař Ludvík: Optimized Bayesian Dynamic Advising: Theory and Algorithms, Springer (London, 2006) [2006]

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. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. Dedecius Kamil, Nagy Ivan, Kárný Miroslav: Parameter tracking with partial forgetting method, International Journal of Adaptive Control and Signal Processing 26 1 (2012), p. 1-12 Download DOI: 10.1002/acs.1270 [2012]
  12. 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]
  13. 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]
  14. Menglerová K., Nagy Ivan: Dynamika vozidla v dopravním proudu, Automa 3 (2010), p. 42-45 Download [2010]
  15. Nagy Ivan, Kratochvílová Jitka, Pecherková Pavla: Dopravně závislé řízení silničního provozu ve městech (2. část), Automa 13 7 (2007), p. 61-64 Download [2007]
  16. Nagy Ivan, Homolová Jitka, Pecherková Pavla: Dopravně závislé řízení silničního provozu ve městech (1. část), Automa 13 6 (2007), p. 12-16 Download [2007]
  17. Pecherková Pavla, Nagy Ivan: Mixture based outlier filtration, Acta Polytechnica 46 2 (2006), p. 30-35 Download [2006]
  18. Kárný Miroslav, Kracík Jan, Nagy Ivan, Nedoma Petr: When has estimation reached a steady state? The Bayesian sequential test, International Journal of Adaptive Control and Signal Processing 19 1 (2005), p. 41-57 Download [2005]
  19. Homolová Jitka, Nagy Ivan: Model dopravní mikrooblasti, Automatizace 47 12 (2004), p. 752-758 Download [2004]
  20. Kárný Miroslav, Nedoma Petr, Guy Tatiana Valentine, Knížek Jiří, Nagy Ivan: Automatický systém podporující operátory složitých procesů, Automatizace 46 3 (2003), p. 177-179 Download [2003]
  21. Nagy Ivan, Kárný Miroslav, Nedoma Petr, Voráčová Š.: Bayesian estimation of traffic lane state, International Journal of Adaptive Control and Signal Processing 17 1 (2003), p. 51-65 Download [2003]
  22. Nagy Ivan, Nedoma Petr, Kárný Miroslav, Pavelková Lenka, Ettler P.: Modelování chování složitých systémů pro podporu operátorů, Automa 8, p. 54-57, 44-49 Download [2002]
  23. Nagy Ivan, Nedoma Petr, Kárný Miroslav, Pavelková Lenka, Ettler P.: O bayesovském učení, Automa, p. 56-60 Download [2002]
  24. Kárný Miroslav, Nagy Ivan, Nedoma Petr, Guy Tatiana Valentine, Knížek Jiří: Systém ProDaCTool pro podporu operátorů složitých procesů, CHEMagazín 12 4 (2002), p. 23-29 Download [2002]
  25. Kárný Miroslav, Nagy Ivan, Novovičová Jana: Mixed-data multi-modelling for fault detection and isolation, International Journal of Adaptive Control and Signal Processing 16 1 (2002), p. 61-83 Download [2002]
  26. Halousková Alena, Kárný Miroslav, Nagy Ivan: Adaptive Cross-Direction Control of Paper Basis Weight, Automatica 29 2 (1993), p. 425-429 [1993]
  27. Nagy Ivan, Kárný Miroslav: A View on Filtering of Continuous Data Signals, Kybernetika 28 6 (1992), p. 494-505 [1992]
  28. Dušek F., Kárný Miroslav, Halousková Alena, Nagy Ivan: Implementace adaptivního řízení příčného profilu vyráběného papíru, Automatizace 34, p. 184-187 [1991]
  29. Nagy Ivan, Kárný Miroslav, Halousková Alena, Dušek F., Trtílek A.: Adaptivní řízení příčného profilu vyráběného papíru, Automatizace 34 2 (1991), p. 34-38 [1991]
  30. Kárný Miroslav, Nagy Ivan, Böhm Josef, Halousková Alena: Design of Spline-Based Self-Tuners, Kybernetika 26 1 (1990), p. 17-30 [1990]

Other publications

  1. 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]
  2. Uglickich Evženie, Nagy Ivan, Kumpošt P., Richter P.: Datasets: Traffic Counts in Prague (2024) Download [2024]
  3. 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]
  4. 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]
  5. Uglickich Evženie, Nagy Ivan: Recursive mixture estimation with univariate multimodal Poisson variable, UTIA AV ČR, v. v. i., (Prague, 2022) Download [2022]
  6. 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]
  7. 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]
  8. 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]
  9. Nagy Ivan, Suzdaleva Evženie, Pecherková Pavla: Clustering and Classification Using Recursive Mixture Estimation. Software package (2018) Download Download [2018]
  10. 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]
  11. 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]
  12. Pecherková Pavla, Nagy Ivan: Analysis of discrete data from traffic accidents, 2017 Smart City Symposium Prague (SCSP) Download DOI: 10.1109/SCSP.2017.7973843 [2017]
  13. 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]
  14. Pecherková Pavla, Nagy Ivan: Logistic Regression with Expert Intervention, SCSP 2016. Smart Cities Symposium Prague, p. 1-5 Download DOI: 10.1109/SCSP.2016.7501032 [2016]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. Suzdaleva Evgenia, Nagy Ivan: Experiments with PID controller for fuel consumption optimization, ÚTIA AV ČR (Praha, 2012) Download [2012]
  26. 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]
  27. 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]
  28. Nagy Ivan, Mlynářová T.: Vybudování experimentálního interfakultního pracoviště pro výuku v oblasti dopravního modelování - EDOM, ÚTIA AV ČR (Praha, 2011) Download [2011]
  29. Dedecius Kamil, Nagy Ivan, Hofman Radek: Modelling of Traffic Flow with Bayesian Autoregressive Model with Variable Partial Forgetting, CTU Workshop 2011, p. 1-11 Download [2011]
  30. 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]
  31. Suzdaleva Evgenia, Nagy Ivan, Dungl Martin: Example creation system, UTIA AV CR (Praha, 2010) Download [2010]
  32. Dedecius Kamil, Nagy Ivan, Hofman Radek: Modelling of Traffic Intensities, 18th Annual Conference Proceedings, Technical Computing Bratislava, p. 1-9 Download [2010]
  33. Pavelková Lenka, Nagy Ivan: Vehicle attitude estimation with the aid of GPS/INS data, Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making, p. 18-18, Eds: Janžura M., Ivánek J. Download [2009]
  34. Suzdaleva Evgenia, Nagy Ivan, Šmídl Václav: Fully Probabilistic Dynamic Decision Making. Examples to textbook (2009) [2009]
  35. 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]
  36. 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]
  37. 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]
  38. Dedecius Kamil, Nagy Ivan, Kárný Miroslav, Pavelková Lenka: Parameter Estimation With Partial Forgetting Method, Proceedings of the 15th IFAC Symposium on Identification and System Parameter Estimation - SYSID 2009, p. 534-539 Download [2009]
  39. Dedecius Kamil, Nagy Ivan, Kárný Miroslav, Pavelková Lenka: Partial Forgetting. A new method for tracking time-variant parameters, UTIA AV ČR (Praha, 2009) Download [2009]
  40. Nagy Ivan, Pavelková Lenka, Dedecius K.: Partial forgetting in estimation of regression models, ÚTIA AV ČR (Praha, 2007) Download [2007]
  41. Homolová Jitka, Nagy Ivan: Výukový systém pro podporu studia aplikované statistiky, Biotechnology 2006, p. 334-336 [2006]
  42. Nagy Ivan, Gebouský Petr, Homolová Jitka: Detekce a lokalizace výjimečných stavů v městské dopravě, ÚTIA AV ČR (Praha, 2006) Download [2006]
  43. Homolová Jitka, Nagy Ivan: Výukový systém pro aplikovanou statistiku, Biotechnology 2006, p. 1-3 Download [2006]
  44. 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]
  45. Kárný Miroslav, Böhm Josef, Guy Tatiana Valentine, Nagy Ivan, Nedoma Petr: Case Studies in Optimized Bayesian Dynamic Advising. (Program), ÚTIA AV ČR (Praha, 2005) [2005]
  46. Přikryl Jan, Nagy Ivan, Homolová Jitka: Probabilistic model of a traffic network, Modelling 2005 Book of Abstracts, p. 20, Západočeská univerzita (Plzeň, 2005) Download [2005]
  47. Pecherková Pavla, Nagy Ivan, Duník J.: Odhad délky kolon, ÚTIA AV ČR (Praha, 2005) Download [2005]
  48. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka, Homolová Jitka: EDUKALIBRE. Guide, ÚTIA AV ČR (Praha, 2005) Download [2005]
  49. Homolová Jitka, Nagy Ivan: Traffic model of a microregion, Preprints of the 16th World Congress of the International Federation of Automatic Control, p. 1-6, Eds: Horáček P., Šimandl M., Zítek P., IFAC (Prague, 2005) Download Download [2005]
  50. Tichý T., Nagy Ivan, Homolová Jitka: Optimalizace řízení dopravy měst. Abstrakt, ITS '05 Prague. Sborník abstraktů, p. 1-2, Sdružení pro dopravní telematiku ČR (Praha, 2005) Download [2005]
  51. Suzdaleva Evgenia, Nagy Ivan: Bayesian Decision Making and E-learning: Interactive Examples, ÚTIA AV ČR (Praha, 2005) Download [2005]
  52. Homolová Jitka, Nagy Ivan: Nadřazená úroveň hierarchického regulátoru, ÚTIA AV ČR (Praha, 2005) Download [2005]
  53. Pecherková Pavla, Nagy Ivan: Mixture Based Outlier Filtration, ÚTIA AV ČR (Praha, 2005) [2005]
  54. Suzdaleva Evgenia, Nagy Ivan, Pavelková Lenka, Kárný Miroslav: EduKALIBRE EXAMPLES, ÚTIA AV ČR (Praha, 2005) [2005]
  55. Homolová Jitka, Nagy Ivan: Zpráva o realizaci vybrané varianty nadřazeného řízení v dopravě, ÚTIA AV ČR (Praha, 2005) Download [2005]
  56. Kratochvílová Jitka, Nagy Ivan: Sestavení obecné metodologie pro zadávání lineárního modelu dopravní mikrooblasti, ÚTIA AV ČR (Praha, 2004) Download [2004]
  57. Kratochvílová Jitka, Nagy Ivan: Lokální řízení městské dopravy, ÚTIA AV ČR (Praha, 2004) Download [2004]
  58. Homolová Jitka, Nagy Ivan: Local traffic control of microregion, Multiple Participant Decision Making, p. 161-171 Download [2004]
  59. Nagy Ivan: Aplikace automatického řízení v dopravě, ÚTIA AV ČR (Praha, 2003) [2003]
  60. Pavelková Lenka, Nagy Ivan: Search for an Optimal Setup of Stabilized Forgetting in Estimation, ÚTIA AV ČR (Praha, 2003) [2003]
  61. Nedoma Petr, Kárný Miroslav, Guy Tatiana Valentine, Nagy Ivan, Böhm Josef: Mixtools. (Program), ÚTIA AV ČR (Praha, 2003) [2003]
  62. Kratochvílová J., Nagy Ivan: Bibliographic Search for Optimization Methods of Signal Traffic Control, ÚTIA AV ČR (Praha, 2003) Download [2003]
  63. Nagy Ivan: Estimation of Real Data with Dynamic Mixtures, ÚTIA AV ČR (Praha, 2002) [2002]
  64. Nagy Ivan: Estimation of Difficult Data Samples with Static Mixtures, ÚTIA AV ČR (Praha, 2002) [2002]
  65. Nagy Ivan: Rozhodování a řízení v dopravě. Část III. Speciální modely, ÚTIA AV ČR (Praha, 2002) Download [2002]
  66. Nedoma Petr, Böhm Josef, Guy Tatiana Valentine, Jirsa Ladislav, Kárný Miroslav, Nagy Ivan, Tesař Ludvík, Andrýsek Josef: Mixtools: User's Guide, ÚTIA AV ČR (Praha, 2002) Download [2002]
  67. Knížek Jiří, Nagy Ivan, Nedoma Petr, Kárný Miroslav: Testing of Mixture Estimation with BMTB initialization, ÚTIA AV ČR (Praha, 2002) [2002]
  68. Ettler P., Kárný Miroslav, Nagy Ivan: Employing information hidden in industrial process data, Proceedings of the Symposium Intelligent Systems for Industry SOCO/ISFI, p. 1814-1817, Academic Press (Paisley, 2001) Download [2001]
  69. Nagy Ivan: Rozhodování a řízení v dopravě. Část II. Identifikace a řízení, ÚTIA AV ČR (Praha, 2001) Download [2001]
  70. Nagy Ivan, Nedoma Petr, Kárný Miroslav: Factorized EM algorithm for mixture estimation, Artificial Neural Nets and Genetic Algorithm. Proceedings, p. 402-405, Eds: Kůrková V., Netruda R., Kárný M., Steele N. C., Springer (Wien, 2001) Download [2001]
  71. Kárný Miroslav, Nedoma Petr, Nagy Ivan, Valečková Markéta: Initial description of multi-modal dynamic models, Artificial Neural Nets and Genetic Algorithms. Proceedings, p. 398-401, Eds: Kůrková V., Neruda R., Kárný M., Steele N. C., Springer (Wien, 2001) Download [2001]
  72. Nagy Ivan: Rozhodování a řízení v dopravě. Část 1. Základy, ÚTIA AV ČR (Praha, 2000) Download [2000]
  73. Nedoma Petr, Kárný Miroslav, Nagy Ivan, Valečková Markéta: Mixtools. MATLAB Toolbox for Mixtures, ÚTIA AV ČR (Praha, 2000) [2000]
  74. Kárný Miroslav, Nedoma Petr, Nagy Ivan, Valečková Markéta: Topics in Mixture Estimation, ÚTIA AV ČR (Praha, 2000) Download [2000]
  75. Kárný Miroslav, Nagy Ivan, Novovičová Jana: Quasi-Bayes Approach to Multi-Model Fault Detection and Isolation, ÚTIA AV ČR (Praha, 1999) [1999]
  76. Nagy Ivan, Kárný Miroslav, Novovičová Jana, Valečková Markéta: Mixture-model Identification in Traffic Control Problems, ÚTIA AV ČR (Praha, 1999) [1999]
  77. Kárný Miroslav, Nagy Ivan: Dynamic Bayesian Decision-making: Part I, ÚTIA AV ČR (Praha, 1999) [1999]
  78. Kárný Miroslav, Nagy Ivan, Halousková Alena: Second layer least squares for recursive non-linear estimation, 10th IFAC Symposium on System Identification. Preprints, p. 655-660, Eds: Blanke M., Söderström T., IFAC (Copenhagen, 1994) Download [1994]
  79. Kárný Miroslav, Nagy Ivan: Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation, Mutual Impact of Computing Power and Control Theory, p. 123-134, Eds: Kárný M., Warwick K., Plenum Press (New York, 1993) Download [1993]
  80. Kárný Miroslav, Nagy Ivan: Recursive Least Squares Approximation of Bayesian Non-Gaussian/Non-Linear Estimation, IFAC Workshop on Mutual Impact of Computing Power and Control Theory. MICC '92, p. 71-76, Eds: Kárný M., Warwick K., ÚTIA ČSAV (Prague, 1992) [1992]
  81. Kulhavý Rudolf, Nagy Ivan, Spousta Jan: Towards Real-Time Implementation of Bayesian Parameter Estimation, 4th IFAC International Symposium on Adaptive Systems in Control and Signal Processing. ACASP '92, p. 263-268, Eds: Landau I. D., Dugard L., M'Saad M., Laboratoire d'Automatique (Grenoble, 1992) [1992]
  82. Nagy Ivan, Ježek Jan: Commutation of Polynomial Coefficients on Finite Time Horizon, IFAC Workshop on System Structure and Control, p. 480-483, Pergamon Press (Oxford, 1992) [1992]
  83. Dušek F., Kárný Miroslav, Halousková Alena, Nagy Ivan: Řízení příčného profilu papíru - identifikace a syntéza, Zborník prednášok z 8.celoštátnej konferencie Automatizované systémy riadenia technologických procesov v chemickom a potravinárskom priemysle, p. 155-159, Dom techniky ZSVTS (Košice, 1991) [1991]
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