Prof. Ing. Václav Šmídl, Ph.D.

Research fellow

Václav Šmídl
smidl@utia.cas.cz 266052420
Department: Department of Adaptive Systems
Research interests: multivariate analysis, Bayesian filtering, recursive estimation, adaptive control

Biography

Publication list

Education:

2001-2004  PhD student  in Trinity College Dublin, department of Electronics and electrical engineering. Defended thesis: The Variational Bayes approach in Signal Processing.

Teaching:

Czech Technical University: Hierarchical Bayesian Models

Employment:

2004-now  ÚTIA, department of adaptive systems, research fellow 

2010-now  UWB, Regional innovation center for electrical engineering, senior researcher

2018-now  CTU, Faculty of Electrical Engineering, senior researcher

2001-2004 Trinity College Dublin, PhD by research, EU projects MOUMIR and ProDacTool.

1999-2000 Sidat Praha, implementation of industrial control systems

Other sources:

scholar.google.com
ResearchGate

Books and chapters

  1. Šmídl Václav, Quinn A.: The Variational Bayes Method in Signal Processing, Springer (Heidelberg, 2005) [2005]
  2. Šmídl Václav, Přikryl Jan: From Bayesian decision-markers to Beyesian agents, Self-Organization and Automatic Informations, p. 62-76, Eds: Czap H., Unland R., Branki Ch. [2005]

Journal articles

  1. Tichý Ondřej, Evangeliou N., Selivanova A., Šmídl Václav: Inverse modeling of 137Cs during Chernobyl 2020 wildfires without the first guess, Atmospheric Pollution Research 16 Download Download DOI: 10.1016/j.apr.2025.102419 [2025]
  2. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N.: Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires, Journal of Hazardous Materials 448 Download Download DOI: 10.1016/j.jhazmat.2025.137510 [2025]
  3. Pecha Petr, Kárný Miroslav, Pechová E., Šmídl Václav, Tichý Ondřej: Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere, ERCIM News 129, p. 43-44 Download Download [2022]
  4. Adam L., Mácha V., Šmídl Václav, Pevný T.: General framework for binary classification on top samples, Optimization Methods & Software 37 5 (2022), p. 1636-1667 Download Download DOI: 10.1080/10556788.2021.1965601 [2022]
  5. Tichý Ondřej, Šmídl Václav, Evangeliou N.: Source term determination with elastic plume bias correction, Journal of Hazardous Materials 425 Download Download DOI: 10.1016/j.jhazmat.2021.127776 [2022]
  6. Tichý Ondřej, Hýža M., Evangeliou N., Šmídl Václav: Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017, Atmospheric Measurement Techniques 14 2 (2021), p. 803-818 Download Download DOI: 10.5194/amt-14-803-2021 [2021]
  7. Anuchin A., Demidova G., Hao Ch., Zharkov A., Bogdanov A., Šmídl Václav: Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables, Energies 13 Download Download DOI: 10.3390/en13133317 [2020]
  8. Škvára Vít, Šmídl Václav, Pevný T., Seidl Jakub, Havránek Aleš, Tskhakaya David: Detection of Alfvén Eigenmodes on COMPASS with Generative Neural Networks, Fusion Science and Technology 76 8 (2020), p. 962-971 Download DOI: 10.1080/15361055.2020.1820805 [2020]
  9. Tichý Ondřej, Ulrych Lukáš, Šmídl Václav, Evangeliou N., Stohl A.: On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART, Geoscientific Model Development 13 12 (2020), p. 5917-5934 Download Download DOI: 10.5194/gmd-13-5917-2020 [2020]
  10. Tichý Ondřej, Bódiová Lenka, Šmídl Václav: Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior, IEEE Signal Processing Letters 26 3 (2019), p. 510-514 Download Download DOI: 10.1109/LSP.2019.2897230 [2019]
  11. Tichý Ondřej, Šmídl Václav, Hofman Radek, Evangeliou N.: Source term estimation of multi-specie atmospheric release of radiation from gamma dose rates, Quarterly Journal of the Royal Meteorological Society 144 717 (2018), p. 2781-2797 Download DOI: 10.1002/qj.3403 [2018]
  12. Ševčík J., Šmídl Václav, Šroubek Filip: An Adaptive Correlated Image Prior for Image Restoration Problems, IEEE Signal Processing Letters 25 7 (2018), p. 1024-1028 Download DOI: 10.1109/LSP.2018.2836964 [2018]
  13. Tichý Ondřej, Šmídl Václav, Hofman Radek, Šindelářová Kateřina, Hýža M., Stohl A.: Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011, Atmospheric Chemistry and Physics 17 20 (2017), p. 12677-12696 Download DOI: 10.5194/acp-17-12677-2017 [2017]
  14. Kotera Jan, Šmídl Václav, Šroubek Filip: Blind Deconvolution With Model Discrepancies, IEEE Transactions on Image Processing 26 5 (2017), p. 2533-2544 Download DOI: 10.1109/TIP.2017.2676981 [2017]
  15. Xiong X., Šmídl Václav, Filippone M.: Adaptive multiple importance sampling for Gaussian processes, Journal of Statistical Computation and Simulation 87 8 (2017), p. 1644-1665 Download DOI: 10.1080/00949655.2017.1280037 [2017]
  16. Tichý Ondřej, Šmídl Václav, Hofman Radek, Stohl A.: LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination, Geoscientific Model Development 9 11 (2016), p. 4297-4311 Download DOI: 10.5194/gmd-9-4297-2016 [2016]
  17. Pecha Petr, Šmídl Václav: Inverse modelling for real-time estimation of radiological consequences in the early stage of an accidental radioactivity release, Journal of Environmental Radioactivity 164 1 (2016), p. 377-394 Download DOI: 10.1016/j.jenvrad.2016.06.016 [2016]
  18. Tichý Ondřej, Šmídl Václav: Non-parametric Bayesian models of response function in dynamic image sequences, Computer Vision and Image Understanding 151 1 (2016), p. 90-100 Download DOI: 10.1016/j.cviu.2015.11.010 [2016]
  19. Tichý Ondřej, Šmídl Václav, Šámal M.: Model-based extraction of input and organ functions in dynamic scintigraphic imaging, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 4, p. 135-145 Download DOI: 10.1080/21681163.2014.916229 [2016]
  20. Tichý Ondřej, Šmídl Václav: Estimation of Input Function from Dynamic PET Brain Data Using Bayesian Blind Source Separation, Computer Science and Information Systems 12 4 (2015), p. 1273-1287 Download DOI: 10.2298/CSIS141201051T [2015]
  21. Arnesto L., Girbés V., Sala A., Zima M., Šmídl Václav: Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following, IEEE Transactions on Control Systems Technology 23 4 (2015), p. 1494-1504 Download DOI: 10.1109/TCST.2014.2377631 [2015]
  22. Tichý Ondřej, Šmídl Václav: Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors, IEEE Transactions on Medical Imaging 34 1 (2015), p. 258-266 Download DOI: 10.1109/TMI.2014.2352791 [2015]
  23. Hofman Radek, Pecha Petr, Šmídl Václav: Evaluation of detection abilities of monitoring networks using multiple assessment criteria, International Journal of Environment and Pollution, p. 129-138 Download DOI: 10.1504/IJEP.2014.065913 [2014]
  24. Šmídl Václav, Hofman Radek: Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation, Technometrics 56 4 (2014), p. 514-527 Download DOI: 10.1080/00401706.2013.860917 [2014]
  25. Ökzan E., Šmídl Václav, Saha S., Lundquist C., Gustafsson F.: Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters, Automatica 49 6 (2013), p. 1566-1575 Download DOI: 10.1016/j.automatica.2013.02.046 [2013]
  26. Šmídl Václav, Hofman Radek: Tracking of atmospheric release of pollution using unmanned aerial vehicles, Atmospheric Environment 67 1 (2013), p. 425-436 Download DOI: 10.1016/j.atmosenv.2012.10.054 [2013]
  27. Šmídl Václav, Peroutka Z.: Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives, IEEE Transactions on Industrial Electronics 59 11 (2012), p. 4189-4196 Download DOI: 10.1109/TIE.2011.2180273 [2012]
  28. Šmídl Václav, Hofman Radek: Marginalized Particle Filtering Framework for Tuning of Ensemble Filters, Monthly Weather Review 139 11 (2011), p. 3589-3599 Download DOI: 10.1175/2011MWR3586.1 [2011]
  29. Hofman Radek, Šmídl Václav: Assimilation of spatio-temporal distribution of radionuclides in early phase of radiation accident, Bezpečnost jaderné energie 18, p. 226-228 Download [2010]
  30. Šmídl Václav, Quinn A.: Variational Bayesian Filtering, IEEE Transactions on Signal Processing 56 10 (2008), p. 5020-5030 Download DOI: 10.1109/TSP.2008.928969 [2008]
  31. Šmídl Václav, Quinn A.: On Bayesian Principal Component Analysis, Computational Statistics and Data Analysis 51 9 (2007), p. 4101-4123 Download [2007]
  32. Šmídl Václav, Quinn A.: Mixture-based extension of the AR model and its recursive Bayesian identification, IEEE Transactions on Signal Processing 53 9 (2005), p. 3530-3542 [2005]

Other publications

  1. Brožová Antonie, Šmídl Václav, Tichý Ondřej: Bayesian methods in neural networks for inverse atmospheric modelling, Stochastic and Physical Monitoring Systems 2024 Download Download [2024]
  2. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N.: Estimation of spatio-temporal source of microplastics using Bayesian Neural networks, EGU General Assembly 2024 Download DOI: 10.5194/egusphere-egu24-5960 [2024]
  3. Tichý Ondřej, Šmídl Václav, Mácha Václav, Kuśmierczyk-Michulec J., Sommerer W., Tipka A.: Estimation of unknown source term based on radioxenon observations with the presence of background signal, EGU General Assembly 2024 Abstracts Download DOI: 10.5194/egusphere-egu24-3075 [2024]
  4. Brožová Antonie, Šmídl Václav: Avoiding Undesirable Solutions of Deep Blind Image Deconvolution, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024), p. 559-566, Eds: Radeva Petia, Furnari Antonino, Bouatouch Kadi, Sousa A. Augusto Download Download DOI: 10.5220/0012397600003660 [2024]
  5. Tichý Ondřej, Šmídl Václav, Evangeliou N.: Spatio-temporal inversion of atmospheric microplastics emmisions using block-coordinate descent method, EGU General Assembly 2023 Download DOI: 10.5194/egusphere-egu23-12619 [2023]
  6. Tichý Ondřej, Evangeliou N., Šmídl Václav, Hýža M., Kuča P.: Odhad zdrojového členu Cs-137 při požárech v okolí Černobylu v dubnu 2020, XLIII. Dni radiačnej ochrany 2022, Kniha abstraktů, p. 28-29 Download [2022]
  7. Tichý Ondřej, Evangeliou N., Šmídl Václav: Two stage inversion method for microplastics emission estimation, EGU General Assembly 2022 Download [2022]
  8. Kotera Jan, Šmídl Václav, Šroubek Filip: Improving Neural Blind Deconvolution, 2021 IEEE International Conference on Image Processing : Proceedings, p. 1954-1958 Download DOI: 10.1109/ICIP42928.2021.9506502 [2021]
  9. Ulrych Lukáš, Šmídl Václav: DEnFi: Deep Ensemble Filter for Active Learning, ÚTIA AV ČR, v.v.i (Prague, 2020) Download [2020]
  10. Tichý Ondřej, Šmídl Václav: Towards non-linear inverse problem for atmospheric source term determination, Geophysical Research Abstracts Download [2020]
  11. Šmídl Václav, Bím J., Pevný T.: Orthogonal Approximation of Marginal Likelihood of Generative Models, Bayesian Deep Learning NeurIPS 2019 Workshop Download [2019]
  12. Mácha Václav, Adam Lukáš, Šmídl Václav: General framework for binary nonlinear classification on top samples, Book of Abstracts of the 3rd International Conference and Summer School, Numerical Computations: Theory and Algorithms, p. 206-206, Eds: Sergeyev Yaroslav D., Kvasov Dmitri E., Mukhametzhanov Marat S., Nasso Maria Chiara Download [2019]
  13. Tichý Ondřej, Šmídl Václav, Hýža M.: Bayesian Approach to Localization of Atmospheric Release with Demonstration on the Case of Ruthenium-106 Release in 2017, SnT 2019 - CTBT: Science and Technology Conference - Book of Abstracts, p. 175 Download [2019]
  14. Tichý Ondřej, Šmídl Václav, Ulrych Lukáš, Hofman Radek: Study on influence of the prior source term to linear inverse problem for atmospheric source term determination, Geophysical Research Abstracts Download [2019]
  15. Škvára Vít, Šmídl Václav, Urban Jakub: Robust sparse linear regression for tokamak plasma boundary estimation using variational Bayes, Journal of Physics: Conference Series, IOP Science (2018) Download DOI: 10.1088/1742-6596/1047/1/012015 [2018]
  16. Tichý Ondřej, Šmídl Václav, Hýža M., Šindelářová Kateřina, Ulrych Lukáš, Belal Alkomiet: Compensation of inaccurate meteorological data in source term determination problem using Bayesian methods, Geophysical Research Abstracts Download [2018]
  17. Bódiová L., Tichý Ondřej, Šmídl Václav: Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences, European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017), p. 52-61 Download DOI: 10.1007/978-3-319-68195-5_6 [2018]
  18. Belal Alkomiet, Tichý Ondřej, Šmídl Václav: Bayesian source term determination with unknown covariance of measurements, Geophysical Research Abstracts Download [2017]
  19. Tichý Ondřej, Šmídl Václav: Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference, Bayesian Statistics in Action: BAYSM 2016, p. 91-101, Eds: Argiento R., Lanzarone E., Villalobos I., Mattei A. Download DOI: 10.1007/978-3-319-54084-9_9 [2017]
  20. Ulrych Lukáš, Šmídl Václav: Bayesian estimation of linear regression model with unknown prior and noise covariance matrix, ISBA 2016 Book of Abstracts, p. 410-410, Eds: Cabras Stefano, Guindani Michele Download [2016]
  21. Tichý Ondřej, Šmídl Václav, Hofman Radek: Bayesian Estimation of Source Term of Atmospheric Radiation Release with Interval Prior, Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), p. 357-364 Download [2016]
  22. Tichý Ondřej, Šmídl Václav, Hofman Radek: Bayesian estimation of a source term of radiation release with approximately known nuclide ratios, Geophysical Research Abstracts Download [2016]
  23. Přikryl J., Novotný J., Šmídl Václav: On Distributed Traffic Signal Control, Proccedings of the 18th IEEE International Conference on Intelligent Transportation Systems, p. 894-899 Download DOI: 10.1109/ITSC.2015.150 [2015]
  24. Létal V., Pevný T., Šmídl Václav, Somol Petr: Finding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data, NIPS Workshop: Advances in Approximate Bayesian Inference, p. 1-10 Download [2015]
  25. Škvára Vít, Šmídl Václav, Urban Jakub: On-line Model Structure Selection for Estimation of Plasma Boundary in a Tokamak, Journal of Physics: Conference Series Download DOI: 10.1088/1742-6596/659/1/012010 [2015]
  26. Hofman Radek, Šmídl Václav, Tichý Ondřej: Hierarchical Prior for Source Term Determination and Its Variational Bayes Estimation, CTBT: Science and Technology 2015, p. 142-142 Download [2015]
  27. Tichý Ondřej, Šmídl Václav: Variational Blind Source Separation Toolbox and its Application to Hyperspectral Image Data, Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), p. 1336-1340 Download DOI: 10.1109/EUSIPCO.2015.7362599 [2015]
  28. Tichý Ondřej, Šmídl Václav: Bayesian Blind Source Separation with Unknown Prior Covariance, Latent Variable Analysis and Signal Separation, p. 352-359, Eds: Vincent E., Yeredor A., Koldovský Z., Tichavský P. Download DOI: 10.1007/978-3-319-22482-4_41 [2015]
  29. Šmídl Václav, Hofman Radek: Bayesian Estimation of Prior Variance in Source Term Determination, EGU General Assembly Conference Abstracts, p. 5563-5563 Download [2015]
  30. Šroubek Filip, Šmídl Václav, Kotera Jan: Understanding image priors in blind deconvolution, 2014 IEEE International Conference on Image Processing, p. 4492-4496 Download DOI: 10.1109/ICIP.2014.7025911 [2014]
  31. Šmídl Václav, Janouš Š., Peroutka Z.: Extending Horizon of Finite Control Set MPC of PMSM Drive with Input LC Filter using LQ Lookahead, Proceedings of IECON 2014 : 40th Annual Conference of the IEEE Industrial Electronics Society, p. 581-586 Download DOI: 10.1109/IECON.2014.7048559 [2014]
  32. Tichý Ondřej, Šmídl Václav: Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods, The 2014 7th International Conference on BioMedical Engineering and Informatics, p. 244-249 Download DOI: 10.1109/BMEI.2014.7002794 [2014]
  33. Šmídl Václav, Nedvěd R., Košan T., Peroutka Z.: FPGA Implementation of Rao-Blackwellized Particle Filter and its Application to Sensorless Drive Control, Proceedings of the 19th IFAC World Congress, 2014, p. 8669-8674 Download DOI: 10.3182/20140824-6-ZA-1003.01557 [2014]
  34. Zima M., Armesto L., Girbés V., Sala A., Šmídl Václav: Extended Rauch-Tung-Striebel Controller, Proceedings of the 52nd IEEE conference on decision and control, p. 2900-2905 Download DOI: 10.1109/CDC.2013.6760324 [2013]
  35. Šmídl Václav, Hofman Radek, Pecha Petr: Data assimilation methods used in the ASIM module (Praha, 2013) Download [2013]
  36. Šmídl Václav, Vošmik D., Peroutka Z.: Kalman Filters Unifying Model-based and HF Injection-based Sensorless Control of PMSM Drives, Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society, p. 8225-8203 Download DOI: 10.1109/IECON.2013.6700511 [2013]
  37. Tichý Ondřej, Šmídl Václav, Šámal M.: Model-based Extraction of Input and Organ Functions in Dynamic Medical Imaging, Computational Vision and Medical Image Processing (VipIMAGE 2013), p. 75-80 Download [2013]
  38. Hofman Radek, Šmídl Václav, Pecha Petr: Evaluation of Detection Abilities of Monitoring Networks Using Different Assessment Criteria, Proceedings of the 15th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes - HARMO15 Download [2013]
  39. Šmídl Václav, Tichý Ondřej: Sparsity in Bayesian Blind Source Separation and Deconvolution, Machine Learning and Knowledge Discovery in Databases, p. 548-563 Download DOI: 10.1007/978-3-642-40991-2_35 [2013]
  40. Hofman Radek, Pecha Petr, Šmídl Václav: Distributed framework for modeling and reconstruction of nuclear accidents, Book of Abstracts of CTBT Science and Technology 2013 Conference, p. 63-63 Download [2013]
  41. Šmídl Václav, Hofman Radek: Adaptive Importance Sampling in Particle Filtering, Proceeding of the 16th International Conference on Information Fusion Download [2013]
  42. Tichý Ondřej, Šmídl Václav: Convolution Model of Time-activity Curves in Blind Source Separation, UTIA AV ČR (Praha, 2013) Download [2013]
  43. Šmídl Václav, Hofman Radek: Navigation of UAVs for tracking of atmospheric release of radiatio, Proceedings of the 51st IEEE Annual Conference on Decision and Control (CDC), p. 3098-3103 Download DOI: 10.1109/CDC.2012.6426702 [2012]
  44. Šmídl Václav, Peroutka Z.: Marginalized Particle Filter for Sensorless Control of PMSM Drives, Proceedings of the 38th Annual Conference of the IEEE Industrial Electronics Society, p. 1-6 Download DOI: 10.1109/IECON.2012.6388915 [2012]
  45. Hofman Radek, Šmídl Václav, Pecha Petr: Development of Real-Time Bayesian Data Assimilation System for Off-Site Consequence Assessment, 12th International Conference on Radiation Shielding & Topical Meeting of the Radiation Protection and Shielding Division of the American Nuclear Society, p. 37-37 Download [2012]
  46. Šmídl Václav, Gustafsson F.: Bayesian Estimation of Forgetting Factor in Adaptive Filtering and Change Detection, Proceedings of the IEEE Statistical Signal Processing Workshop 2012, p. 197-200 Download DOI: 10.1109/SSP.2012.6319658 [2012]
  47. Šmídl Václav, Hofman Radek: Application of Sequential Monte Carlo Estimation for Early Phase of Radiation Accident, UTIA AV CR, v.v.i (Praha, 2012) Download [2012]
  48. Šmídl Václav, Tichý Ondřej: Automatic Regions of Interest in Factor Analysis for Dynamic Medical Imaging, Proceedings of 2012 IEEE International Symposium on Biomedical Imaging, p. 158-161 Download DOI: 10.1109/ISBI.2012.6235508 [2012]
  49. Šmídl Václav, Hofman Radek: Bayesian Methods for Optimization of Radiation Monitoring Networks, UTIA AV CR, v.v.i (Praha, 2011) Download [2011]
  50. Hofman Radek, Pecha Petr, Šmídl Václav: Data assimilation methods for early and late phase of radiation accident - A comprehensive review with examples of methods examined within solution of the grant projet VG20102013018, UTIA AV CR (Praha, 2011) [2011]
  51. Hofman Radek, Šmídl Václav: Evaluation of Expected Consequences of a Nuclear Power Plant Accident using Sequential Monte Carlo, XXXIII Dni radiačnej ochrany, p. 111-112 [2011]
  52. Šmídl Václav, Peroutka Z.: Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives, Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society, p. 1929-1934 Download DOI: 10.1109/IECON.2011.6119446 [2011]
  53. Šmídl Václav, Tichý Ondřej: Variational Bayes in Distributed Fully Probabilistic Decision Making, The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), p. 73-80 Download [2011]
  54. Tichý Ondřej, Šmídl Václav: Decentralization of Fully Probabilistic Control Design using Variational Bayes Approximation, Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making, p. 37-37, Eds: Janžura M., Ivánek J. Download [2011]
  55. Albrecht Š., Šmídl Václav: Model for Memory-based Music Transcription and its Variational Bayes solution, EUSIPCO 2011: 19th European Signal Processing Conference, p. 1-4 Download [2011]
  56. Okzan E., Saha S., Gustafsson F., Šmídl Václav: Non-Parametric Bayesian Measurement Noise Density Estimation in Non-Linear Filtering, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011, p. 5924-5927 Download [2011]
  57. Šmídl Václav, Tichý Ondřej, Šámal M.: Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves, Proceedings of the second international conference on computational bioscience, p. 1-7 Download [2011]
  58. Sidorov D., Panasetsky D., Šmídl Václav: Non-stationary Autoregressive Model for On-line Detection of Inter-area Oscillations in Power Systems, Innovative Smart Grid Technologies Conference Europe, p. 1-5 Download DOI: 10.1109/ISGTEUROPE.2010.5638992 [2010]
  59. Šmídl Václav: Forgetting-based Estimation of Stationary Parameters in Marginalized Particle Framework, Abstracts of Contributions to 6th International Workshop on Data – Algorithms – Decision Making, p. 18-18, Eds: Ivánek Jiří, Janžura Martin Download [2010]
  60. Šmídl Václav, Tichý Ondřej: Variational Bayes Approximation for Distributed Fully Probabilistic Design, Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making, p. 47-47 Download [2010]
  61. Albrecht Š., Šmídl Václav: Improvements of Continuous Model for Memory-based Automatic Music Transcription, Proceedings of the 18th European signal processing conference, p. 487-491 Download [2010]
  62. Saha S., Okzan E., Gustafsson F., Šmídl Václav: Marginalized Particle Filters for Bayesian Estimation of Gaussian Noise Parameters, Proceedings of the 13th International Conference on Information Fusion, p. 1-8 Download [2010]
  63. Šmídl Václav: Software Analysis Unifying Particle Filtering and Marginalized Particle Filtering, Proceedings of the 13th International Conference on Information Fusion, p. 1-7 Download [2010]
  64. Hofman Radek, Šmídl Václav: EnKF within the Marginalized Particle Filter and Its Application for Adaptive Estimation of Inflation Factor, 2010 The Meeting of the Americas, p. 1-2 Download [2010]
  65. Sidorov D., Grishin Y., Šmídl Václav: On-line Detection of Inter-area Oscillations using Forgetting Approach for Power Systems Monitoring, Proceedings of the 2nd International Conference on Computer and Automation Engineering, p. 1-4 Download [2010]
  66. Šmídl Václav: On Adaptation of Loss Functions in Decentralized Adaptive Control, Proceedings of the 12th IFAC symposium on Large Scale Systems, p. 1-6 Download [2010]
  67. Šmídl Václav, Pištěk Miroslav: Presentation of Bayesian Decision Making Toolbox (BDM), Abstracts of Contributions to 5th International Workshop on Data – Algorithms – Decision Making, p. 37-37, Eds: J a n ž u r a M a r t i n, I v á n e k J i ř í Download [2009]
  68. Pecha Petr, Hofman Radek, Šmídl Václav: Simulation of Random 3-D Trajectories of the Toxic Plume Spreading over the Terrain, 5th WMO Symposium on Data Assimilation Download [2009]
  69. Hofman Radek, Pecha Petr, Šmídl Václav: Recent developments in exploitation of data assimilation in early and late phase of radiation accident, Abstracts of Contributions to 5th International Workshop on Data-Algorthms-Decision Making, p. 29-29 Download [2009]
  70. Suzdaleva Evgenia, Nagy Ivan, Šmídl Václav: Fully Probabilistic Dynamic Decision Making. Examples to textbook (2009) [2009]
  71. Peroutka Z., Šmídl Václav, Vošmik D.: Challenges and Limits of Extended Kalman Filter based Sensorless Control of Permanent Magnet Synchronous Machine Drives, Proceedings of the 13th European Conference on Power Electronics and Applications, p. 1-11 Download [2009]
  72. Šmídl Václav, Pištěk Miroslav: Bayesian Decision Making library (2009) [2009]
  73. Hofman Radek, Šmídl Václav: Assimilation of spatio-temporal distribution of radionuclides in early phase of radiation accident, XXXI. Dny radiační ochrany - sborník abstraktů, p. 74-74 Download [2009]
  74. Hofman Radek, Šmídl Václav, Pecha Petr: Data assimilation in early phase of radiation accident using particle filter, The Fifth WMO International Symposium on Data Assimilation, p. 1-8 Download [2009]
  75. Pecha Petr, Hofman Radek, Šmídl Václav: Bayesian tracking of the toxic plume spreading in the early stage of radiation accident, ESM'2009 The 2009 European Simulation and Modelling Conference, Modelling and Simulation '2009, p. 381-387 Download [2009]
  76. Hofman Radek, Šmídl Václav, Pavelková Lenka: Proceedings of the 10th International PhD Workshop on Systems and Control, UTIA, AV ČR, v.v.i (Praha, 2009) [2009]
  77. Albrecht Š., Šmídl Václav: Model Considerations for Memory-based Automatic Music Transcription, 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, p. 1-8 Download [2009]
  78. Šmídl Václav, Kárný Miroslav: Log-Normal Merging for Distributed System Identification, Proceedings of the 15th IFAC Symposium on System Identification, p. 1-6 Download [2009]
  79. Ettler P., Andrýsek Josef, Šmídl Václav, Kárný Miroslav: Merging of advices from multiple advisory systems - with evaluation on rolling mill data, Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics, p. 66-71 Download [2008]
  80. Šmídl Václav: Sequential Sampling Techniques for Log-Normal Combination of Probability Densities, ÚTIA AV ČR (Praha, 2008) Download [2008]
  81. Šmídl Václav: On Estimation of Unknown Disturbances of Non-Linear State-Space Model Using Marginalized Particle Filter, ÚTIA AV ČR (Praha, 2008) Download [2008]
  82. Šmídl Václav: Robust Detection of Linear Part of Patlak-Rutland Plots, ÚTIA AV ČR, v.v.i (Praha, 2008) Download [2008]
  83. Šmídl Václav: BDM: C++ knihovna algoritmů Bayesovského rozhodování (2008) [2008]
  84. Šmídl Václav, Andrýsek Josef: Merging of Multistep Predictors for Decentralized Adaptive Control, Proceedings of the American Control Conference, p. 3414-3415 Download [2008]
  85. Šmídl Václav: On Structure of Predictors Allowing Distributed Dynamic Bayesian Decision-Making, ÚTIA AV ČR, v.v.i (Praha, 2007) [2007]
  86. Šmídl Václav, Andrýsek Josef: Distributed Bayesian Decision-Making: Further Experiments, ÚTIA AV ČR (Praha, 2007) [2007]
  87. Šmídl Václav, Quinn A.: Accelerated particle filtering using the Variational Bayes approximation, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, p. 1173-1176 [2007]
  88. Andrýsek Josef, Přikryl Jan, Šmídl Václav: Mixtools 3000 Interactive Reference Manual, ÚTIA AV ČR (Praha, 2006) Download [2006]
  89. Andrýsek Josef, Pištěk M., Šmídl Václav, Šterbák O., Tkáč M., Týnovský M., Váňová Irena: Mixtools 3000 Foundation, ÚTIA AV ČR (Praha, 2006) Download [2006]
  90. Šmídl Václav, Andrýsek Josef: Distributed Bayesian Decision Making: Early Experiments, Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint, p. 245-255, Eds: Šmídl V., Přikryl J., Andrýsek J. Download [2006]
  91. Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint, Ústav teorie informace a automatizace (Praha, 2006) Download [2006]
  92. Šmídl Václav, Přikryl Jan: Distributed Bayesian Decision-Making for Urban Traffic Control, Proceedings of the 32nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2006), p. 1-6 [2006]
  93. Pavelková Lenka, Kárný Miroslav, Šmídl Václav: Towards Bayesian filtering on restricted support, Proceedings of the NSSPW'06 Workshop, p. 1-4 [2006]
  94. Šmídl Václav: Distributed Bayesian Decision Making: Early Experiments, Proceedings of Abstracts of the 7th International PhD Workshop on Interplay of societal and technical decision-making, Young Generation Viewpoint, p. 15-17, Eds: Přikryl J., Šmídl V. [2006]
  95. Šmídl Václav, Quinn A.: The Restricted Variational Bayes Approximation in Bayesian Filtering, Proceedings of the NSSPW'06 Workshop, p. 1-4 [2006]
  96. Proceedings of Abstracts of the 7th International PhD Workshop on Interplay of Societal and Technical Decision-Making, Young Generation Viewpoint, ÚTIA AVČR (Praha, 2006) [2006]
  97. Šmídl Václav, Quinn A.: The variational Bayes approximation in Bayesian filtering, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, p. 1-4 [2006]
  98. Šmídl Václav, Přikryl Jan: Distributed Bayesian Decision-Making for Urban Traffic Control, ÚTIA AV ČR (Praha, 2006) [2006]
  99. Pavelková Lenka, Kárný Miroslav, Šmídl Václav: Towards Bayesian Filtering on Restricted Support, ÚTIA AV ČR (Praha, 2006) [2006]
  100. Šmídl Václav: Bayesian approach to multi-agent systems, Proceedings of Abstracts of the 6th International PhD Workshop on Systems and Control a Young Generation Viewpoint, p. 88, Jozef Stefan Institute (Ljubljana, 2005) [2005]
  101. Šmídl Václav, Quinn A.: The Variational EM algorithm for on-line identification of extended AR models, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, p. 117-120 [2005]
  102. Kárný Miroslav, Nedoma Petr, Šmídl Václav: Cross-validation of controlled dynamic models: Bayesian approach, Preprints of the 16th World Congress of the International Federation of Automatic Control, p. 1-6, IFAC (Prague, 2005) [2005]
  103. Šmídl Václav, Quinn A.: Variational Bayes for Orthogonal Probabilistic Principal Component Analysis, ÚTIA AV ČR (Praha, 2005) [2005]
  104. Šmídl Václav, Quinn A.: The Variational Bayes Approximation in Bayesian Filtering, ÚTIA AV ČR (Praha, 2005) [2005]
  105. Šmídl Václav, Přikryl Jan: From Bayesian Decision Makers to Bayesian Agents, ÚTIA AV ČR (Praha, 2005) [2005]
  106. Kárný Miroslav, Nedoma Petr, Šmídl Václav: On Cross-Validation of Controlled Dynamic Models: Bayesian Approach, ÚTIA AV ČR (Praha, 2005) [2005]
  107. Šmídl Václav: The Variational Bayes Approach in Signal Processing. Ph.D. Thesis (2004) [2004]
  108. Šmídl Václav: Bayesian estimation of non-stationary AR model parameters via an unknown forgetting factor, Proceedings of the IEEE Workshop on Signal Processing, p. 100-105 [2004]
  109. Šmídl Václav, Quinn A., Maniouloux Y.: Fully probabilistic model for functional analysis of medical image data, Proceedings of the Irish Signals and Systems Conference, p. 201-206 [2004]
  110. Šmídl Václav, Kárný Miroslav, Quinn A.: On prior information in principal component analysis, Irish Signals and Systems Conference 2001. Proceedings, p. 129-134, Eds: Shorten R., Ward T., Lysaght T., NUI Maynooth (Maynooth, 2001) Download [2001]
  111. Šmídl Václav, Kárný Miroslav, Šámal M., Backfrieder W., Szabo Z.: Smoothness prior information in principal component analysis of dynamic image data, Information Processing in Medical Imaging, p. 227-233, Eds: Insana M. F., Leahy R. M., Springer (New York, 2001) Download [2001]
  112. Šmídl Václav: Software Analysis of Bayesian Distributed Dynamic Decision Making
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