Václav Smídl

According to our database, Václav Smídl authored at least 98 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Malicious Internet Entity Detection Using Local Graph Inference.

Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer

IEEE Trans. Inf. Forensics Secur., 2024

Deep anomaly detection on set data: Survey and comparison.

Michaela Masková, Matej Zorek, Tomás Pevný, Václav Smídl

Pattern Recognit., 2024

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings.

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný

CoRR, 2024

Avoiding Undesirable Solutions of Deep Blind Image Deconvolution.

Antonie Brozová, Václav Smídl

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs.

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Is AUC the best measure for practical comparison of anomaly detectors?

Vít Skvára, Tomás Pevný, Václav Smídl

CoRR, 2023

Neural ODE for Estimation of Flux Linkage Models of Synchronous Machines.

Jakub Sevcik, Václav Smídl, Antonín Glac, Zdenek Peroutka

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Optimal Current Setpoints for Five-Phase Synchronous Drive.

Jan Laksar, Václav Smídl, Tomás Komrska, Lukás Adam

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Comparison of Anomaly Detectors: Context Matters.

Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors.

Josef Justa, Václav Smídl, Ales Hamácek

Sensors, 2022

General framework for binary classification on top samples.

Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný

Optim. Methods Softw., 2022

Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere.

Petr Pecha, Miroslav Kárný, Emilie Pechová, Václav Smídl, Ondrej Tichý

ERCIM News, 2022

Identification of Thermal Model Parameters Using Deep Learning Techniques.

Jakub Sevcik, Václav Smídl, Martin Votava

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Informed Sampling of Prioritized Experience Replay.

Mirza Ramicic, Václav Smídl, Andrea Bonarini

Proceedings of the IEEE International Conference on Development and Learning, 2022

Batch Active Learning for Text Classification and Sentiment Analysis.

Marko Sahan, Václav Smídl, Radek Marik

Proceedings of the CCRIS 2022: 3rd International Conference on Control, Robotics and Intelligent System, Virtual Event, China, August 26, 2022

2021

Constrained LQR Control of Dual Induction Motor Single Inverter Drive.

Stepán Janous, Jakub Talla, Václav Smídl, Zdenek Peroutka

IEEE Trans. Ind. Electron., 2021

Fitting large mixture models using stochastic component selection.

Milan Papez, Tomás Pevný, Václav Smídl

CoRR, 2021

Active Learning for Text Classification and Fake News Detection.

Marko Sahan, Václav Smídl, Radek Marík

Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021

Improving Neural Blind Deconvolution.

Jan Kotera, Filip Sroubek, Václav Smídl

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Predictive Control of IM Drive Acoustic Noise.

Michal Kroneisl, Václav Smídl, Zdenek Peroutka, Martin Janda

IEEE Trans. Ind. Electron., 2020

Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections.

Josef Justa, Václav Smídl, Ales Hamácek

Sensors, 2020

Model predictive control of electric drive system with L1-norm.

Marek Fehér, Ondrej Straka, Václav Smídl

Eur. J. Control, 2020

Solvability of the Power Flow Problem in DC Overhead Wire Circuit.

Jakub Sevcik, Lukás Adam, Jan Prikryl, Václav Smídl

CoRR, 2020

DeepTopPush: Simple and Scalable Method for Accuracy at the Top.

Lukás Adam, Václav Mácha, Václav Smídl

CoRR, 2020

Nonlinear classifiers for ranking problems based on kernelized SVM.

Václav Mácha, Lukás Adam, Václav Smídl

CoRR, 2020

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations.

Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Neural Power Units.

Niklas Heim, Tomás Pevný, Václav Smídl

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian optimization of FCS-MPC Parameters for Reduction of Induction Motor Electromagnetic Noise.

Michal Kroneisl, Václav Smídl

Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Comparison of IPMSM Parameter Estimation Methods for Motor Efficiency.

Antonín Glac, Václav Smídl, Zdenek Peroutka, Christoph M. Hackl

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019

Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior.

Ondrej Tichý, Lenka Bodiova, Václav Smídl

IEEE Signal Process. Lett., 2019

Rodent: Relevance determination in ODE.

Niklas Heim, Václav Smídl, Tomás Pevný

CoRR, 2019

Anomaly scores for generative models.

Václav Smídl, Jan Bím, Tomás Pevný

CoRR, 2019

Model of Hybrid Speed and Throttle Control for Centrifugal Pump System Enhancement.

Levon Gevorkov, Václav Smídl, Martin Sirový

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Identification of Thermal Model of Power Module Using Expectation-Maximization Algorithm.

Jakub Sevcik, Václav Smídl, Martin Votava

Proceedings of the IECON 2019, 2019

Adaptive control of LCL filter with time-varying parameters using reinforcement learning.

Jaroslav Dragoun, Václav Smídl

Proceedings of the IECON 2019, 2019

2018

Self-Sensing Control of Wound Rotor Synchronous Motor Drive for Mine Hoist.

David Uzel, Zdenek Peroutka, Václav Smídl, Tomás Kosan, Karel Zeman

IEEE Trans. Ind. Electron., 2018

Adaptive Speed Control of Induction Motor Drive With Inaccurate Model.

Jakub Talla, Viet Quoc Leu, Václav Smídl, Zdenek Peroutka

IEEE Trans. Ind. Electron., 2018

Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization.

Václav Smídl, Stepán Janous, Lukás Adam, Zdenek Peroutka

IEEE Trans. Ind. Electron., 2018

An Adaptive Correlated Image Prior for Image Restoration Problems.

Jakub Sevcik, Václav Smídl, Filip Sroubek

IEEE Signal Process. Lett., 2018

Are generative deep models for novelty detection truly better?

Vít Skvára, Tomás Pevný, Václav Smídl

CoRR, 2018

Predictive Control of Parallel Induction Motors Fed by Single Inverter with Common Current Sensors.

Stepán Janous, Jakub Talla, Zdenek Peroutka, Václav Smídl

Proceedings of the IECON 2018, 2018

Optimal Feedforward Torque Control of Synchronous Machines with Time-Varying Parameters.

Antonín Glac, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2018, 2018

2017

Blind Deconvolution With Model Discrepancies.

Jan Kotera, Václav Smídl, Filip Sroubek

IEEE Trans. Image Process., 2017

Efficient MPC for permanent magnet synchronous motor.

Marek Feher, Ondrej Straka, Václav Smídl

Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

Model predictive control of multiple induction machines fed from single inverter.

Stepán Janous, Jakub Talla, Zdenek Peroutka, Václav Smídl

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016

Non-parametric Bayesian models of response function in dynamic image sequences.

Ondrej Tichý, Václav Smídl

Comput. Vis. Image Underst., 2016

Model-based extraction of input and organ functions in dynamic scintigraphic imaging.

Ondrej Tichý, Václav Smídl, Martin Sámal

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016

LQ lookahead in finite control set MPC of current-source rectifier.

Jan Michalik, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2016, 2016

Experimental validation of IGBT thermal impedances from voltage-based and direct temperature measurements.

Humphrey Mokom Njawah Achiri, Lubos Streit, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2016, 2016

2015

Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors.

Ondrej Tichý, Václav Smídl

IEEE Trans. Medical Imaging, 2015

Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control.

Václav Smídl, Stepán Janous, Zdenek Peroutka

IEEE Trans. Ind. Electron., 2015

Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following.

Leopoldo Armesto, Vicent Girbés, Antonio Sala, Miroslav Zima, Václav Smídl

IEEE Trans. Control. Syst. Technol., 2015

Estimation of input function from dynamic PET brain data using Bayesian blind source separation.

Ondrej Tichý, Václav Smídl

Comput. Sci. Inf. Syst., 2015

On Distributed Traffic Signal Control.

Jan Prikryl, Jakub Novotny, Václav Smídl

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Finite control set MPC of active current-source rectifier with full state space model.

Jan Michalik, Zdenek Peroutka, Václav Smídl

Proceedings of the IECON 2015, 2015

Mitigation of electric drivetrain oscillation resulting from abrupt current derating at low coolant flow rate.

Humphrey Mokom Njawah Achiri, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2015, 2015

Bayesian Blind Source Separation with Unknown Prior Covariance.

Ondrej Tichý, Václav Smídl

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Variational blind source separation toolbox and its application to hyperspectral image data.

Ondrej Tichý, Václav Smídl

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation.

Václav Smídl, Radek Hofman

Technometrics, 2014

Reduced-order Kalman filter in phase coordinates for IPMSM with higher flux harmonics.

David Uzel, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Extending horizon of finite control set MPC of PMSM drive with input LC filter using LQ lookahead.

Václav Smídl, Stepán Janous, Zdenek Peroutka

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Sensorless permanent magnet synchronous drive with DTC based on high frequency injections.

Tomas Glasberger, Vendula Muzikova, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Start-stop system for a city bus based on model predictive control.

Radim Dudek, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Understanding image priors in blind deconvolution.

Filip Sroubek, Václav Smídl, Jan Kotera

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Kinetic modeling of the dynamic PET brain data using blind source separation methods.

Ondrej Tichý, Václav Smídl

Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013

Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters.

Emre Özkan, Václav Smídl, Saikat Saha, Christian Lundquist, Fredrik Gustafsson

Autom., 2013

Sparsity in Bayesian Blind Source Separation and Deconvolution.

Václav Smídl, Ondrej Tichý

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Sensorless PMSM control: Hybrid rotor position estimator using maximum likelihood model selection.

David Vosmik, Václav Smídl, Zdenek Peroutka

Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Feed-forward guided generalized predictive control of PMSM drive.

Stepán Janous, Václav Smídl, Zdenek Peroutka

Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Resolver motivated sensorless rotor position estimation of wound rotor synchronous motors with Kalman filter.

David Uzel, Václav Smídl, Zdenek Peroutka

Proceedings of the IECON 2013, 2013

Kalman filters unifying model-based and HF injection-based sensorless control of PMSM drives.

Václav Smídl, David Vosmik, Zdenek Peroutka

Proceedings of the IECON 2013, 2013

FPGA implementation of marginalized particle filter for sensorless control of PMSM drives.

Václav Smídl, Robert Nedved, Tomás Kosan, Zdenek Peroutka

Proceedings of the IECON 2013, 2013

Sensorless direct torque control of PMSM with reduced model Extended Kalman filter.

Tomas Glasberger, Vendula Muzikova, Zdenek Peroutka, Václav Smídl

Proceedings of the IECON 2013, 2013

Adaptive importance sampling in particle filtering.

Václav Smídl, Radek Hofman

Proceedings of the 16th International Conference on Information Fusion, 2013

Rao-Blackwellized point mass filter for reliable state estimation.

Václav Smídl, Matej Gasperin

Proceedings of the 16th International Conference on Information Fusion, 2013

Extended Rauch-Tung-Striebel controller.

Miroslav Zima, Leopoldo Armesto, Vicent Girbés, Antonio Sala, Václav Smídl

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives.

Václav Smídl, Zdenek Peroutka

IEEE Trans. Ind. Electron., 2012

Bayesian estimation of forgetting factor in adaptive filtering and change detection.

Václav Smídl, Fredrik Gustafsson

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Automatic regions of interest in factor analysis for dynamic medical imaging.

Václav Smídl, Ondrej Tichý

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Marginalized particle filter for sensorless control of PMSM drives.

Václav Smídl, Zdenek Peroutka

Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

Navigation of UAVs for tracking of atmospheric release of radiation.

Václav Smídl, Radek Hofman

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Non-parametric bayesian measurement noise density estimation in non-linear filtering.

Emre Özkan, Saikat Saha, Fredrik Gustafsson, Václav Smídl

Proceedings of the IEEE International Conference on Acoustics, 2011

Model for memory-based music transcription and its Variational Bayes solution.

Stepan Albrecht, Václav Smídl

Proceedings of the 19th European Signal Processing Conference, 2011

2010

Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems.

Denis N. Sidorov, Daniil A. Panasetsky, Václav Smídl

Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, 2010

Software analysis unifying particle filtering and marginalized particle filtering.

Václav Smídl

Proceedings of the 13th Conference on Information Fusion, 2010

Marginalized particle filters for Bayesian estimation of Gaussian noise parameters.

Saikat Saha, Emre Özkan, Fredrik Gustafsson, Václav Smídl

Proceedings of the 13th Conference on Information Fusion, 2010

Improvements of continuous model for memory-based automatic music transcription.

Stepan Albrecht, Václav Smídl

Proceedings of the 18th European Signal Processing Conference, 2010

2008

Variational Bayesian Filtering.

Václav Smídl, Anthony Quinn

IEEE Trans. Signal Process., 2008

Merging of Advices from Multiple Advisory Systems - With Evaluation on Rolling Mill Data.

Pavel Ettler, Josef Andrýsek, Václav Smídl, Miroslav Kárný

Proceedings of the ICINCO 2008, 2008

Merging of multistep predictors for decentralized adaptive control.

Václav Smídl, Josef Andrýsek

Proceedings of the American Control Conference, 2008

2007

On Bayesian principal component analysis.

Václav Smídl, Anthony Quinn

Comput. Stat. Data Anal., 2007

Accelerated Particle Filtering using the Variational Bayes Approximation.

Václav Smídl, Anthony Quinn

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

The Variational Bayes Approximation In Bayesian Filtering.

Václav Smídl, Anthony Quinn

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Mixture-based extension of the AR model and its recursive Bayesian identification.

Václav Smídl, Anthony Quinn

IEEE Trans. Signal Process., 2005

Robust estimation of autoregressive processes using a mixture-based filter-bank.

Václav Smídl, Anthony Quinn, Miroslav Kárný, Tatiana V. Guy

Syst. Control. Lett., 2005

From Bayesian Decision-Makers to Bayesian Agents.

Václav Smídl, Jan Prikryl

Proceedings of the Self-Organization and Autonomic Informatics (I), 2005

The variational EM algorithm for on-line identification of extended AR models [speech processing example].

Václav Smídl, Anthony Quinn

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2001

Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data.

Václav Smídl, Miroslav Kárný, Martin Sámal, Werner Backfrieder, Zsolt Szabo

Proceedings of the Information Processing in Medical Imaging, 2001