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Publications - Václav Šmídl


Books and chapters (2)
1. * Václav Šmídl, Jan Přikryl: From Bayesian decision-markers to Beyesian agents. Self-Organization and Automatic Informations, 62-76. IOS, Amsterdam 2005.
2. * Václav Šmídl, A. Quinn: The Variational Bayes Method in Signal Processing. Springer, Heidelberg 2005.

Journal articles (32)
1. * Petr Pecha, Miroslav Kárný, E. Pechová, Václav Šmídl, Ondřej Tichý: Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere. ERCIM News 129, 43-44. European Research Consortium for Informatics and Mathematics.   Download
2. * L. Adam, V. Mácha, Václav Šmídl, T. Pevný: General framework for binary classification on top samples. Optimization Methods & Software 37:5 (2022), 1636-1667. Taylor & Francis.   Download
3. * Ondřej Tichý, Václav Šmídl, N. Evangeliou: Source term determination with elastic plume bias correction. Journal of Hazardous Materials 425. Elsevier.   Download
4. * Ondřej Tichý, M. Hýža, N. Evangeliou, Václav Šmídl: 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), 803-818. Copernicus.   Download
5. * A. Anuchin, G. Demidova, Ch. Hao, A. Zharkov, A. Bogdanov, Václav Šmídl: Continuous Control Set Model Predictive Control of a Switch Reluctance Drive Using Lookup Tables. Energies 13. MDPI.   Download
6. * Vít Škvára, Václav Šmídl, T. Pevný, Jakub Seidl, Aleš Havránek, David Tskhakaya: Detection of Alfvén Eigenmodes on COMPASS with Generative Neural Networks. Fusion Science and Technology 76:8 (2020), 962-971. Taylor & Francis.   Download
7. * Ondřej Tichý, Lukáš Ulrych, Václav Šmídl, N. Evangeliou, A. Stohl: 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), 5917-5934. Copernicus GmbH.   Download
8. * Ondřej Tichý, Lenka Bódiová, Václav Šmídl: Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior. IEEE Signal Processing Letters 26:3 (2019), 510-514. Institute of Electrical and Electronics Engineers.   Download
9. * Ondřej Tichý, Václav Šmídl, Radek Hofman, N. Evangeliou: Source term estimation of multi-specie atmospheric release of radiation from gamma dose rates. Quarterly Journal of the Royal Meteorological Society 144:717 (2018), 2781-2797. Wiley.   Download
10. * V. Šmídl, Š. Janouš, Lukáš Adam, Z. Peroutka: Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization. IEEE Transactions on Industrial Electronics 65:1 (2018), 532-542. Institute of Electrical and Electronics Engineers.   Download
11. * J. Ševčík, Václav Šmídl, Filip Šroubek: An Adaptive Correlated Image Prior for Image Restoration Problems. IEEE Signal Processing Letters 25:7 (2018), 1024-1028. Institute of Electrical and Electronics Engineers.   Download
12. * X. Xiong, Václav Šmídl, M. Filippone: Adaptive multiple importance sampling for Gaussian processes. Journal of Statistical Computation and Simulation 87:8 (2017), 1644-1665. Taylor & Francis.   Download
13. * Ondřej Tichý, Václav Šmídl, Radek Hofman, Kateřina Šindelářová, M. Hýža, A. Stohl: 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), 12677-12696. Copernicus.   Download
14. * Jan Kotera, Václav Šmídl, Filip Šroubek: Blind Deconvolution With Model Discrepancies. IEEE Transactions on Image Processing 26:5 (2017), 2533-2544. Institute of Electrical and Electronics Engineers.   Download
15. * Ondřej Tichý, Václav Šmídl: Non-parametric Bayesian models of response function in dynamic image sequences. Computer Vision and Image Understanding 151:1 (2016), 90-100. Elsevier.   Download
16. * Ondřej Tichý, Václav Šmídl, M. Šámal: Model-based extraction of input and organ functions in dynamic scintigraphic imaging. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 4, 135-145.   Download
17. * Petr Pecha, Václav Šmídl: 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), 377-394. Elsevier.   Download
18. * Ondřej Tichý, Václav Šmídl, Radek Hofman, A. Stohl: 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), 4297-4311. Copernicus GmbH.   Download
19. * Ondřej Tichý, Václav Šmídl: Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors. IEEE Transactions on Medical Imaging 34:1 (2015), 258-266.   Download
20. * L. Arnesto, V. Girbés, A. Sala, M. Zima, Václav Šmídl: Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following. IEEE Transactions on Control Systems Technology 23:4 (2015), 1494-1504. Institute of Electrical and Electronics Engineers.   Download
21. * Ondřej Tichý, Václav Šmídl: Estimation of Input Function from Dynamic PET Brain Data Using Bayesian Blind Source Separation. Computer Science and Information Systems 12:4 (2015), 1273-1287.   Download
22. * Václav Šmídl, Radek Hofman: Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation. Technometrics 56:4 (2014), 514-527.   Download
23. * Radek Hofman, Petr Pecha, Václav Šmídl: Evaluation of detection abilities of monitoring networks using multiple assessment criteria. International Journal of Environment and Pollution, 129-138.   Download
24. * Václav Šmídl, Radek Hofman: Tracking of atmospheric release of pollution using unmanned aerial vehicles. Atmospheric Environment 67:1 (2013), 425-436. Elsevier.   Download
25. * E. Ökzan, Václav Šmídl, S. Saha, C. Lundquist, F. Gustafsson: Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters. Automatica 49:6 (2013), 1566-1575. Elsevier.   Download
26. * Václav Šmídl, Z. Peroutka: Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives. IEEE Transactions on Industrial Electronics 59:11 (2012), 4189-4196. Institute of Electrical and Electronics Engineers.   Download
27. * Václav Šmídl, Radek Hofman: Marginalized Particle Filtering Framework for Tuning of Ensemble Filters. Monthly Weather Review 139:11 (2011), 3589-3599.   Download
28. * Radek Hofman, Václav Šmídl: Assimilation of spatio-temporal distribution of radionuclides in early phase of radiation accident. Bezpečnost jaderné energie 18, 226-228. Státní úřad pro jadernou bezpečnost.   Download
29. * Václav Šmídl, A. Quinn: Variational Bayesian Filtering. IEEE Transactions on Signal Processing 56:10 (2008), 5020-5030.   Download
30. * Václav Šmídl, A. Quinn: On Bayesian Principal Component Analysis. Computational Statistics and Data Analysis 51:9 (2007), 4101-4123. Elsevier.   Download
31. * V. Šmídl, Q. Anthony, Miroslav Kárný, Tatiana Valentine Guy: Robust estimation of autoregressive processes using a mixture-based filter-bank. Systems and Control Letters 54:4 (2005), 315-323. Elsevier.   Download
32. * Václav Šmídl, A. Quinn: Mixture-based extension of the AR model and its recursive Bayesian identification. IEEE Transactions on Signal Processing 53:9 (2005), 3530-3542.

Conference papers (59)
1. * Jan Kotera, Václav Šmídl, Filip Šroubek: Improving Neural Blind Deconvolution. 2021 IEEE International Conference on Image Processing : Proceedings, 1954-1958. IEEE, Piscataway 2021.   Download
2. * Václav Šmídl, J. Bím, T. Pevný: Orthogonal Approximation of Marginal Likelihood of Generative Models. Bayesian Deep Learning NeurIPS 2019 Workshop. University of Oxford Computer Science department, Vancouver 2019.   Download
3. * L. Bódiová, Ondřej Tichý, Václav Šmídl: Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017), 52-61. Springer, Cham 2018.   Download
4. * Vít Škvára, Václav Šmídl, Jakub Urban: Robust sparse linear regression for tokamak plasma boundary estimation using variational Bayes. Journal of Physics: Conference Series 1047. Journal of Physics: Conference Series. IOP Publishing Ltd, Bristol 2018.   Download
5. * Ondřej Tichý, Václav Šmídl: Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference. Bayesian Statistics in Action: BAYSM 2016, 91-101. Springer International Publishing, Cham 2017.   Download
6. * Ondřej Tichý, Václav Šmídl, Radek Hofman: Bayesian Estimation of Source Term of Atmospheric Radiation Release with Interval Prior. Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), 357-364. iEMSs, Toulouse 2016.   Download
7. * Ondřej Tichý, Václav Šmídl: Bayesian Blind Source Separation with Unknown Prior Covariance. Latent Variable Analysis and Signal Separation, 352-359. Springer, Cham 2015.   Download
8. * Ondřej Tichý, Václav Šmídl: Variational Blind Source Separation Toolbox and its Application to Hyperspectral Image Data. Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), 1336-1340. IEEE Computer Society, Piscataway 2015.   Download
9. * Vít Škvára, Václav Šmídl, Jakub Urban: On-line Model Structure Selection for Estimation of Plasma Boundary in a Tokamak. Journal of Physics: Conference Series. Institute of Physics Publishing Ltd, Bristol 2015.   Download
10. * J. Přikryl, J. Novotný, Václav Šmídl: On Distributed Traffic Signal Control. Proccedings of the 18th IEEE International Conference on Intelligent Transportation Systems, 894-899. IEEE, Piscataway 2015.   Download
11. V. Létal, T. Pevný, Václav Šmídl, Petr Somol: Finding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data. NIPS Workshop: Advances in Approximate Bayesian Inference, 1-10. NIPS, Montréal, Canada 2015.   Download
12. * Václav Šmídl, R. Nedvěd, T. Košan, Z. Peroutka: FPGA Implementation of Rao-Blackwellized Particle Filter and its Application to Sensorless Drive Control. Proceedings of the 19th IFAC World Congress, 2014, 8669-8674. IFAC, Cape Town 2014.   Download
13. * Ondřej Tichý, Václav Šmídl: Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods. The 2014 7th International Conference on BioMedical Engineering and Informatics, 244-249. IEEE press, Dalian, China 2014.   Download
14. * Václav Šmídl, Š. Janouš, Z. Peroutka: 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, 581-586. IEEE, Piscataway 2014.   Download
15. * Filip Šroubek, Václav Šmídl, Jan Kotera: Understanding image priors in blind deconvolution. 2014 IEEE International Conference on Image Processing, 4492-4496. IEEE, USA 2014.   Download
16. * Václav Šmídl, Ondřej Tichý: Sparsity in Bayesian Blind Source Separation and Deconvolution. Machine Learning and Knowledge Discovery in Databases, 548-563. Springer, Berlin Heidelberg 2013.   Download
17. * Radek Hofman, Václav Šmídl, Petr Pecha: 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. HARMO, Madrid 2013.   Download
18. * Václav Šmídl, Radek Hofman: Adaptive Importance Sampling in Particle Filtering. Proceeding of the 16th International Conference on Information Fusion. ISIF, Istanbul 2013.   Download
19. * Ondřej Tichý, Václav Šmídl, M. Šámal: Model-based Extraction of Input and Organ Functions in Dynamic Medical Imaging. Computational Vision and Medical Image Processing (VipIMAGE 2013), 75-80. CRC Press/Balkema, Leiden 2013.   Download
20. * M. Zima, L. Armesto, V. Girbés, A. Sala, Václav Šmídl: Extended Rauch-Tung-Striebel Controller. Proceedings of the 52nd IEEE conference on decision and control, 2900-2905. IEEE, Florence, Italy 2013.   Download
21. * Václav Šmídl, D. Vošmik, Z. Peroutka: 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, 8225-8203. IEEE, Vienna 2013.   Download
22. * Václav Šmídl, Ondřej Tichý: Automatic Regions of Interest in Factor Analysis for Dynamic Medical Imaging. Proceedings of 2012 IEEE International Symposium on Biomedical Imaging, 158-161. IEEE, Barcelona, Spain 2012.   Download
23. * Václav Šmídl, F. Gustafsson: Bayesian Estimation of Forgetting Factor in Adaptive Filtering and Change Detection. Proceedings of the IEEE Statistical Signal Processing Workshop 2012, 197-200. IEEE, Ann Arbor 2012.   Download
24. * Václav Šmídl, Z. Peroutka: Marginalized Particle Filter for Sensorless Control of PMSM Drives. Proceedings of the 38th Annual Conference of the IEEE Industrial Electronics Society, 1-6. IEEE Industrial Electronics Society, Montral 2012.   Download
25. * Radek Hofman, Václav Šmídl, Petr Pecha: 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, 37-37. Atomic Energy Society of Japan, Nara 2012.   Download
26. * Václav Šmídl, Radek Hofman: Navigation of UAVs for tracking of atmospheric release of radiatio. Proceedings of the 51st IEEE Annual Conference on Decision and Control (CDC), 3098-3103. IEEE Computer Society, New York 2012.   Download
27. * E. Okzan, S. Saha, F. Gustafsson, Václav Šmídl: Non-Parametric Bayesian Measurement Noise Density Estimation in Non-Linear Filtering. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011, 5924-5927. IEEE, Piscataway 2011.   Download
28. * Václav Šmídl, Ondřej Tichý, M. Šámal: Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves. Proceedings of the second international conference on computational bioscience, 1-7. IASTED, Cambridge, UK 2011.   Download
29. * Š. Albrecht, Václav Šmídl: Model for Memory-based Music Transcription and its Variational Bayes solution. EUSIPCO 2011: 19th European Signal Processing Conference, 1-4. EURASIP, Barcelona 2011.   Download
30. * Václav Šmídl, Ondřej Tichý: 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), 73-80. Institute of Information Theory and Automation, Prague 2011.   Download
31. * Radek Hofman, Václav Šmídl: Evaluation of Expected Consequences of a Nuclear Power Plant Accident using Sequential Monte Carlo. XXXIII Dni radiačnej ochrany, 111-112. Slovenská nukleárna spoločnost´, Bratislava 2011.
32. * Václav Šmídl, Z. Peroutka: Reduced-Order Square-Root EKF for Sensorless Control of PMSM Drives. Proceedings of the 37th Annual Conference of the IEEE Industrial Electronics Society, 1929-1934. IEEE, Piscataway 2011.   Download
33. * D. Sidorov, Y. Grishin, Václav Šmídl: 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, 1-4. IEEE, Singapore 2010.   Download
34. * Václav Šmídl: On Adaptation of Loss Functions in Decentralized Adaptive Control. Proceedings of the 12th IFAC symposium on Large Scale Systems, 1-6. IFAC, Villeneuve d'Ascq 2010.   Download
35. * Václav Šmídl: Software Analysis Unifying Particle Filtering and Marginalized Particle Filtering. Proceedings of the 13th International Conference on Information Fusion, 1-7. IET, Edinburgh 2010.   Download
36. * S. Saha, E. Okzan, F. Gustafsson, Václav Šmídl: Marginalized Particle Filters for Bayesian Estimation of Gaussian Noise Parameters. Proceedings of the 13th International Conference on Information Fusion, 1-8. IET, Edinburgh 2010.   Download
37. * D. Sidorov, D. Panasetsky, Václav Šmídl: Non-stationary Autoregressive Model for On-line Detection of Inter-area Oscillations in Power Systems. Innovative Smart Grid Technologies Conference Europe, 1-5. IEEE, Gothenburg 2010.   Download
38. * Š. Albrecht, Václav Šmídl: Improvements of Continuous Model for Memory-based Automatic Music Transcription. Proceedings of the 18th European signal processing conference, 487-491. Eurasip, Aalborg 2010.   Download
39. * Petr Pecha, Radek Hofman, Václav Šmídl: 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, 381-387. EUROSIS - ETI, Leicester 2009.   Download
40. * Václav Šmídl, Miroslav Kárný: Log-Normal Merging for Distributed System Identification. Proceedings of the 15th IFAC Symposium on System Identification, 1-6. IFAC, Saint Malo 2009.   Download
41. * Radek Hofman, Václav Šmídl, Petr Pecha: Data assimilation in early phase of radiation accident using particle filter. The Fifth WMO International Symposium on Data Assimilation, 1-8. Australian Government - Bureau of Meteorology, Melbourne 2009.   Download
42. * Š. Albrecht, Václav Šmídl: Model Considerations for Memory-based Automatic Music Transcription. 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 1-8. AIP, Oxford, Mississipi 2009.   Download
43. * Radek Hofman, Václav Šmídl: Assimilation of spatio-temporal distribution of radionuclides in early phase of radiation accident. XXXI. Dny radiační ochrany - sborník abstraktů, 74-74. FJFI ČVUT v Praze, Praha 2009.   Download
44. * Petr Pecha, Radek Hofman, Václav Šmídl: Simulation of Random 3-D Trajectories of the Toxic Plume Spreading over the Terrain. 5th WMO Symposium on Data Assimilation. Australian Government, Buerau of Meteorology, Melbourne 2009.   Download
45. * Z. Peroutka, Václav Šmídl, D. Vošmik: 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, 1-11. IEEE, Barcelona 2009.   Download
46. * Václav Šmídl, Josef Andrýsek: Merging of Multistep Predictors for Decentralized Adaptive Control. Proceedings of the American Control Conference, 3414-3415. IEEE, Seattle 2008.   Download
47. * P. Ettler, Josef Andrýsek, Václav Šmídl, Miroslav Kárný: 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, 66-71. INSTICC, Madeira 2008.   Download
48. * Václav Šmídl, A. Quinn: Accelerated particle filtering using the Variational Bayes approximation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 1173-1176. IEEE, Honolulu 2007.
49. * Václav Šmídl, A. Quinn: The Restricted Variational Bayes Approximation in Bayesian Filtering. Proceedings of the NSSPW'06 Workshop, 1-4. University of Cambridge, Cambridge 2006.
50. * Václav Šmídl, A. Quinn: The variational Bayes approximation in Bayesian filtering. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 1-4. IEEE, Bryan 2006.
51. * Lenka Pavelková, Miroslav Kárný, Václav Šmídl: Towards Bayesian filtering on restricted support. Proceedings of the NSSPW'06 Workshop, 1-4. University of Cambridge, Cambridge 2006.
52. * Václav Šmídl, Josef Andrýsek: Distributed Bayesian Decision Making: Early Experiments. Proceedings of the 7th International Ph.D. Workshop: Young Generation Viewpoint, 245-255. ÚTIA AV ČR, Praha 2006.   Download
53. * Václav Šmídl, Jan Přikryl: Distributed Bayesian Decision-Making for Urban Traffic Control. Proceedings of the 32nd Annual Conference of the IEEE Industrial Electronics Society (IECON 2006), 1-6. IEEE, Paris 2006.
54. * Miroslav Kárný, Petr Nedoma, Václav Šmídl: Cross-validation of controlled dynamic models: Bayesian approach. Preprints of the 16th World Congress of the International Federation of Automatic Control, 1-6. IFAC, Prague 2005.
55. * Václav Šmídl, A. Quinn: The Variational EM algorithm for on-line identification of extended AR models. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 117-120. IEEE, Philadelphia 2005.
56. * Václav Šmídl, A. Quinn, Y. Maniouloux: Fully probabilistic model for functional analysis of medical image data. Proceedings of the Irish Signals and Systems Conference, 201-206. University of Belfast, Belfast 2004.
57. * Václav Šmídl: Bayesian estimation of non-stationary AR model parameters via an unknown forgetting factor. Proceedings of the IEEE Workshop on Signal Processing, 100-105. IEEE, New Mexico 2004.
58. * Václav Šmídl, Miroslav Kárný, M. Šámal, W. Backfrieder, Z. Szabo: Smoothness prior information in principal component analysis of dynamic image data. Lecture Notes in Computer Science. 2082. Information Processing in Medical Imaging, 227-233. Springer, New York 2001.   Download
59. * Václav Šmídl, Miroslav Kárný, A. Quinn: On prior information in principal component analysis. Irish Signals and Systems Conference 2001. Proceedings, 129-134. NUI Maynooth, Maynooth 2001.   Download

Other publications (43)
1. * Ondřej Tichý, Václav Šmídl, N. Evangeliou: Spatio-temporal inversion of atmospheric microplastics emmisions using block-coordinate descent method. EGU General Assembly 2023. The European Geosciences Union, Munich 2023.   Download
2. * Ondřej Tichý, N. Evangeliou, Václav Šmídl, M. Hýža, P. Kuča: Odhad zdrojového členu Cs-137 při požárech v okolí Černobylu v dubnu 2020. XLIII. Dni radiačnej ochrany 2022, Kniha abstraktů, 28-29. Slovenská zdravotnícka univerzita, Bratislava 2022.   Download
3. * Ondřej Tichý, N. Evangeliou, Václav Šmídl: Two stage inversion method for microplastics emission estimation. EGU General Assembly 2022. European Geosciences Union, Göttingen 2022.   Download
4. * Ondřej Tichý, Václav Šmídl: Towards non-linear inverse problem for atmospheric source term determination. Geophysical Research Abstracts. 2020.   Download
5. * Lukáš Ulrych, Václav Šmídl: DEnFi: Deep Ensemble Filter for Active Learning. Research Report 2383. ÚTIA AV ČR, v.v.i, Prague 2020.   Download
6. * Ondřej Tichý, Václav Šmídl, Lukáš Ulrych, Radek Hofman: Study on influence of the prior source term to linear inverse problem for atmospheric source term determination. Geophysical Research Abstracts. European geoscience union 2019.   Download
7. * Václav Mácha, Lukáš Adam, Václav Šmídl: 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, 206-206. Centro Editoriale e Librario dell’Universit`a della Calabria, Rende 2019.   Download
8. * Ondřej Tichý, Václav Šmídl, M. Hýža: 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, 175. , Vienna 2019.   Download
9. * Ondřej Tichý, Václav Šmídl, M. Hýža, Kateřina Šindelářová, Lukáš Ulrych, Alkomiet Belal: Compensation of inaccurate meteorological data in source term determination problem using Bayesian methods. Geophysical Research Abstracts. EGU, Munich 2018.   Download
10. * Alkomiet Belal, Ondřej Tichý, Václav Šmídl: Bayesian source term determination with unknown covariance of measurements. Geophysical Research Abstracts. Copernicus, Göttingen 2017.   Download
11. * Ondřej Tichý, Václav Šmídl, Radek Hofman: Bayesian estimation of a source term of radiation release with approximately known nuclide ratios. Geophysical Research Abstracts. European Geosciences Union, Göttingen 2016.   Download
12. * Lukáš Ulrych, Václav Šmídl: Bayesian estimation of linear regression model with unknown prior and noise covariance matrix. ISBA 2016 Book of Abstracts, 410-410. CUEC, Cagliari 2016.   Download
13. * Radek Hofman, Václav Šmídl, Ondřej Tichý: Hierarchical Prior for Source Term Determination and Its Variational Bayes Estimation. CTBT: Science and Technology 2015, 142-142. CTBTO, Vienna 2015.   Download
14. * Václav Šmídl, Radek Hofman: Bayesian Estimation of Prior Variance in Source Term Determination. EGU General Assembly Conference Abstracts, 5563-5563. EGU, Vienna 2015.   Download
15. * Radek Hofman, Petr Pecha, Václav Šmídl: Distributed framework for modeling and reconstruction of nuclear accidents. Book of Abstracts of CTBT Science and Technology 2013 Conference, 63-63. CTBTO, Vienna 2013.   Download
16. * Ondřej Tichý, Václav Šmídl: Convolution Model of Time-activity Curves in Blind Source Separation. Research Report 2330. UTIA AV ČR, Praha 2013.   Download
17. * Václav Šmídl, Radek Hofman, Petr Pecha: Data assimilation methods used in the ASIM module. Research Report . , Praha 2013.   Download
18. * Václav Šmídl, Radek Hofman: Application of Sequential Monte Carlo Estimation for Early Phase of Radiation Accident. Research Report 2322. UTIA AV CR, v.v.i, Praha 2012.   Download
19. * Ondřej Tichý, Václav Šmídl: Decentralization of Fully Probabilistic Control Design using Variational Bayes Approximation. Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making, 37-37. ÚTIA AVČR, v.v.i, Praha 2011.   Download
20. * Václav Šmídl, Radek Hofman: Bayesian Methods for Optimization of Radiation Monitoring Networks. Research Report 2315. UTIA AV CR, v.v.i, Praha 2011.   Download
22. * Radek Hofman, Václav Šmídl: EnKF within the Marginalized Particle Filter and Its Application for Adaptive Estimation of Inflation Factor. 2010 The Meeting of the Americas, 1-2. Americam Geophzsical Society 2010.   Download
23. * Václav Šmídl: Forgetting-based Estimation of Stationary Parameters in Marginalized Particle Framework. Abstracts of Contributions to 6th International Workshop on Data – Algorithms – Decision Making, 18-18. ÚTIA AV ČR, Praha 2010.   Download
24. * Václav Šmídl, Ondřej Tichý: Variational Bayes Approximation for Distributed Fully Probabilistic Design. Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making, 47-47. ÚTIA AV ČR, v.v.i, Praha 2010.   Download
25. * Radek Hofman, Petr Pecha, Václav Šmídl: 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, 29-29. UTIA, AV ČR, v.v.i, Praha 2009.   Download
26. * Václav Šmídl, Miroslav Pištěk: Presentation of Bayesian Decision Making Toolbox (BDM). Abstracts of Contributions to 5th International Workshop on Data – Algorithms – Decision Making, 37-37. ÚTIA, ÚTIA Praha 2009.   Download
27. * Václav Šmídl: Robust Detection of Linear Part of Patlak-Rutland Plots. Research Report 2243. ÚTIA AV ČR, v.v.i, Praha 2008.   Download
28. * Václav Šmídl: On Estimation of Unknown Disturbances of Non-Linear State-Space Model Using Marginalized Particle Filter. Research Report 2245. ÚTIA AV ČR, Praha 2008.   Download
29. * Václav Šmídl: Sequential Sampling Techniques for Log-Normal Combination of Probability Densities. Research Report 2244. ÚTIA AV ČR, Praha 2008.   Download
30. * Václav Šmídl, Josef Andrýsek: Distributed Bayesian Decision-Making: Further Experiments. Interní publikace DAR - ÚTIA 2007/16. ÚTIA AV ČR, Praha 2007.
31. * Václav Šmídl: On Structure of Predictors Allowing Distributed Dynamic Bayesian Decision-Making. Research Report 2211. ÚTIA AV ČR, v.v.i, Praha 2007.
32. * Lenka Pavelková, Miroslav Kárný, Václav Šmídl: Towards Bayesian Filtering on Restricted Support. Interní publikace - DAR - ÚTIA 2006/6. ÚTIA AV ČR, Praha 2006.
33. * Václav Šmídl, Jan Přikryl: Distributed Bayesian Decision-Making for Urban Traffic Control. Interní publikace - DAR - ÚTIA 2006/7. ÚTIA AV ČR, Praha 2006.
34. * Josef Andrýsek, M. Pištěk, Václav Šmídl, O. Šterbák, M. Tkáč, M. Týnovský, Irena Váňová: Mixtools 3000 Foundation. Research Report 2179. ÚTIA AV ČR, Praha 2006.   Download
35. * Václav Šmídl: 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, 15-17. ÚTIA AV ČR, Praha 2006.
36. * Josef Andrýsek, Jan Přikryl, Václav Šmídl: Mixtools 3000 Interactive Reference Manual. Research Report 2178. ÚTIA AV ČR, Praha 2006.   Download
37. * Václav Šmídl, Jan Přikryl: From Bayesian Decision Makers to Bayesian Agents. Interní publikace - DAR - ÚTIA 2005/16. ÚTIA AV ČR, Praha 2005.
38. * Miroslav Kárný, Petr Nedoma, Václav Šmídl: On Cross-Validation of Controlled Dynamic Models: Bayesian Approach. Interní publikace - DAR - ÚTIA 2005/17. ÚTIA AV ČR, Praha 2005.
39. * Václav Šmídl, A. Quinn: The Variational Bayes Approximation in Bayesian Filtering. Interní publikace - DAR - ÚTIA 2005/34. ÚTIA AV ČR, Praha 2005.
40. * Václav Šmídl, A. Quinn: Variational Bayes for Orthogonal Probabilistic Principal Component Analysis. Research Report 2125. ÚTIA AV ČR, Praha 2005.
41. * Václav Šmídl: Bayesian approach to multi-agent systems. Proceedings of Abstracts of the 6th International PhD Workshop on Systems and Control a Young Generation Viewpoint, 88. Jozef Stefan Institute, Ljubljana 2005.

Miscellaneous (1)
1. * Radek Hofman, Václav Šmídl, Lenka Pavelková: Proceedings of the 10th International PhD Workshop on Systems and Control. UTIA, AV ČR, v.v.i, Praha 2009.