Václav Smídl

Orcid: 0000-0003-3027-6174

According to our database1, Václav Smídl authored at least 94 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Avoiding Undesirable Solutions of Deep Blind Image Deconvolution.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Is AUC the best measure for practical comparison of anomaly detectors?
CoRR, 2023

Neural ODE for Estimation of Flux Linkage Models of Synchronous Machines.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Optimal Current Setpoints for Five-Phase Synchronous Drive.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
Comparison of Anomaly Detectors: Context Matters.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors.
Sensors, 2022

General framework for binary classification on top samples.
Optim. Methods Softw., 2022

Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere.
ERCIM News, 2022

Identification of Thermal Model Parameters Using Deep Learning Techniques.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Informed Sampling of Prioritized Experience Replay.
Proceedings of the IEEE International Conference on Development and Learning, 2022

Batch Active Learning for Text Classification and Sentiment Analysis.
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.
IEEE Trans. Ind. Electron., 2021

Fitting large mixture models using stochastic component selection.
CoRR, 2021

Active Learning for Text Classification and Fake News Detection.
Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021

Improving Neural Blind Deconvolution.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Predictive Control of IM Drive Acoustic Noise.
IEEE Trans. Ind. Electron., 2020

Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections.
Sensors, 2020

Model predictive control of electric drive system with L1-norm.
Eur. J. Control, 2020

Solvability of the Power Flow Problem in DC Overhead Wire Circuit.
CoRR, 2020

DeepTopPush: Simple and Scalable Method for Accuracy at the Top.
CoRR, 2020

Nonlinear classifiers for ranking problems based on kernelized SVM.
CoRR, 2020

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Neural Power Units.
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.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Comparison of IPMSM Parameter Estimation Methods for Motor Efficiency.
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.
IEEE Signal Process. Lett., 2019

Rodent: Relevance determination in ODE.
CoRR, 2019

Anomaly scores for generative models.
CoRR, 2019

Model of Hybrid Speed and Throttle Control for Centrifugal Pump System Enhancement.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Identification of Thermal Model of Power Module Using Expectation-Maximization Algorithm.
Proceedings of the IECON 2019, 2019

Adaptive control of LCL filter with time-varying parameters using reinforcement learning.
Proceedings of the IECON 2019, 2019

2018
Self-Sensing Control of Wound Rotor Synchronous Motor Drive for Mine Hoist.
IEEE Trans. Ind. Electron., 2018

Adaptive Speed Control of Induction Motor Drive With Inaccurate Model.
IEEE Trans. Ind. Electron., 2018

Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization.
IEEE Trans. Ind. Electron., 2018

An Adaptive Correlated Image Prior for Image Restoration Problems.
IEEE Signal Process. Lett., 2018

Are generative deep models for novelty detection truly better?
CoRR, 2018

Predictive Control of Parallel Induction Motors Fed by Single Inverter with Common Current Sensors.
Proceedings of the IECON 2018, 2018

Optimal Feedforward Torque Control of Synchronous Machines with Time-Varying Parameters.
Proceedings of the IECON 2018, 2018

2017
Blind Deconvolution With Model Discrepancies.
IEEE Trans. Image Process., 2017

Efficient MPC for permanent magnet synchronous motor.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

Model predictive control of multiple induction machines fed from single inverter.
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.
Comput. Vis. Image Underst., 2016

Model-based extraction of input and organ functions in dynamic scintigraphic imaging.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016

LQ lookahead in finite control set MPC of current-source rectifier.
Proceedings of the IECON 2016, 2016

Experimental validation of IGBT thermal impedances from voltage-based and direct temperature measurements.
Proceedings of the IECON 2016, 2016

2015
Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors.
IEEE Trans. Medical Imaging, 2015

Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control.
IEEE Trans. Ind. Electron., 2015

Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following.
IEEE Trans. Control. Syst. Technol., 2015

Estimation of input function from dynamic PET brain data using Bayesian blind source separation.
Comput. Sci. Inf. Syst., 2015

On Distributed Traffic Signal Control.
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.
Proceedings of the IECON 2015, 2015

Mitigation of electric drivetrain oscillation resulting from abrupt current derating at low coolant flow rate.
Proceedings of the IECON 2015, 2015

Bayesian Blind Source Separation with Unknown Prior Covariance.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Variational blind source separation toolbox and its application to hyperspectral image data.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation.
Technometrics, 2014

Reduced-order Kalman filter in phase coordinates for IPMSM with higher flux harmonics.
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.
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.
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.
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.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Kinetic modeling of the dynamic PET brain data using blind source separation methods.
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.
Autom., 2013

Sparsity in Bayesian Blind Source Separation and Deconvolution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Sensorless PMSM control: Hybrid rotor position estimator using maximum likelihood model selection.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Feed-forward guided generalized predictive control of PMSM drive.
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.
Proceedings of the IECON 2013, 2013

Kalman filters unifying model-based and HF injection-based sensorless control of PMSM drives.
Proceedings of the IECON 2013, 2013

FPGA implementation of marginalized particle filter for sensorless control of PMSM drives.
Proceedings of the IECON 2013, 2013

Sensorless direct torque control of PMSM with reduced model Extended Kalman filter.
Proceedings of the IECON 2013, 2013

Adaptive importance sampling in particle filtering.
Proceedings of the 16th International Conference on Information Fusion, 2013

Rao-Blackwellized point mass filter for reliable state estimation.
Proceedings of the 16th International Conference on Information Fusion, 2013

Extended Rauch-Tung-Striebel controller.
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.
IEEE Trans. Ind. Electron., 2012

Bayesian estimation of forgetting factor in adaptive filtering and change detection.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Automatic regions of interest in factor analysis for dynamic medical imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Marginalized particle filter for sensorless control of PMSM drives.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

Navigation of UAVs for tracking of atmospheric release of radiation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Non-parametric bayesian measurement noise density estimation in non-linear filtering.
Proceedings of the IEEE International Conference on Acoustics, 2011

Model for memory-based music transcription and its Variational Bayes solution.
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.
Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, 2010

Software analysis unifying particle filtering and marginalized particle filtering.
Proceedings of the 13th Conference on Information Fusion, 2010

Marginalized particle filters for Bayesian estimation of Gaussian noise parameters.
Proceedings of the 13th Conference on Information Fusion, 2010

Improvements of continuous model for memory-based automatic music transcription.
Proceedings of the 18th European Signal Processing Conference, 2010

2008
Variational Bayesian Filtering.
IEEE Trans. Signal Process., 2008

Merging of Advices from Multiple Advisory Systems - With Evaluation on Rolling Mill Data.
Proceedings of the ICINCO 2008, 2008

Merging of multistep predictors for decentralized adaptive control.
Proceedings of the American Control Conference, 2008

2007
On Bayesian principal component analysis.
Comput. Stat. Data Anal., 2007

Accelerated Particle Filtering using the Variational Bayes Approximation.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
The Variational Bayes Approximation In Bayesian Filtering.
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.
IEEE Trans. Signal Process., 2005

Robust estimation of autoregressive processes using a mixture-based filter-bank.
Syst. Control. Lett., 2005

From Bayesian Decision-Makers to Bayesian Agents.
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].
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2001
Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data.
Proceedings of the Information Processing in Medical Imaging, 2001


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