Przemyslaw Sliwinski

27 papers Misc 4Journal 12Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
An entropic explanation of insistence on sameness in autism.
Frontiers Comput. Neurosci.
Przemyslaw Sliwinski
2023 J jnl
A Dual Averaging Algorithm for Online Modeling of Infinite Memory Nonlinear Systems.
IEEE Trans. Autom. Control.
Szymon Lagosz, Pawel Wachel, Przemyslaw Sliwinski
2021 J jnl
Identification of Wiener-Hammerstein systems by ℓ1-constrained Volterra series.
Eur. J. Control
Szymon Lagosz, Przemyslaw Sliwinski, Pawel Wachel
2021 — conf
Mimicking Learning for 1-NN Classifiers.
ICCS (3)
Przemyslaw Sliwinski, Pawel Wachel, Jerzy W. Rozenblit
2019 Misc conf
Action Recognition by Weighted Averaged Hidden Markov Models.
MMAR
Aleksandra Postawka, Przemyslaw Sliwinski
2019 — conf
Intelligent Agent for Weather Parameters Prediction.
DepCoS-RELCOMEX
Jacek Mazurkiewicz, Tomasz Walkowiak, Jaroslaw Sugier, Przemyslaw Sliwinski, Krzysztof Helt
2019 Misc conf
Modeling of switching-mode nonlinear system by exponentially weighted aggregation.
MMAR
Pawel Wachel, Przemyslaw Sliwinski, Zygmunt Hasiewicz
2019 — conf
On Autistic Behavior Model.
SpringSim
Przemyslaw Sliwinski
2018 — conf
Averaged Hidden Markov Models in Kinect-Based Rehabilitation System.
ICAISC (2)
Aleksandra Postawka, Przemyslaw Sliwinski
2018 J jnl
Nonlinear system modeling based on constrained Volterra series estimates.
CoRR
Przemyslaw Sliwinski, Anna Marconato, Pawel Wachel, Georgios Birpoutsoukis
2016 — conf
A Kinect-Based Support System for Children with Autism Spectrum Disorder.
ICAISC (2)
Aleksandra Postawka, Przemyslaw Sliwinski
2016 Misc conf
A stochastic approach to contrast detection autofocusing. A 2D case analysis.
MMAR
Adrian Galeziowski, Przemyslaw Sliwinski, Pawel Wachel
2016 Misc conf
Aggregative modeling of Wiener systems.
MMAR
Szymon Lagosz, Przemyslaw Sliwinski, Pawel Wachel
2015 J jnl
Aggregative Modeling of Nonlinear Systems.
IEEE Signal Process. Lett.
Pawel Wachel, Przemyslaw Sliwinski
2015 — conf
Recognition and Modeling of Atypical Children Behavior.
ICAISC (1)
Aleksandra Postawka, Przemyslaw Sliwinski
2013 J jnl
A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets.
Int. J. Appl. Math. Comput. Sci.
Przemyslaw Sliwinski, Zygmunt Hasiewicz, Pawel Wachel
2013 — conf
Application of stochastic counterpart optimization to contrast-detection autofocusing.
ICACCI
Przemyslaw Sliwinski, Pawel Wachel
2013 — conf
Empirical Recovery of Input Nonlinearity in Distributed Element Models.
ALCOSP
Przemyslaw Sliwinski, Krzysztof S. Berezowski, Pawel Wachel, Gilles Sicard, Laurent Fesquet
2013 — conf
Model Selection of Hammerstein System Nonlinearity under Heavy Noise.
ALCOSP
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwinski, Pawel Wachel
2010 J jnl
On-line wavelet estimation of Hammerstein system nonlinearity.
Int. J. Appl. Math. Comput. Sci.
Przemyslaw Sliwinski
2010 — conf
Quasi-parametric Recovery of Hammerstein System Nonlinearity by Smart Model Selection.
ICAISC (2)
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwinski
2009 — conf
Computational Algorithm for Nonparametric Modelling of Nonlinearities in Hammerstein Systems.
ICINCO-SPSMC
Przemyslaw Sliwinski, Zygmunt Hasiewicz
2009 J jnl
Wavelet Amendment of Polynomial Models in Hammerstein Systems Identification.
IEEE Trans. Autom. Control.
Przemyslaw Sliwinski, Jerzy W. Rozenblit, Michael W. Marcellin, Ryszard Klempous
2008 J jnl
Computational Algorithms for Wavelet Identification of Nonlinearities in Hammerstein Systems With Random Inputs.
IEEE Trans. Signal Process.
Przemyslaw Sliwinski, Zygmunt Hasiewicz
2005 J jnl
Computational algorithms for multiscale identification of nonlinearities in Hammerstein systems with random inputs.
IEEE Trans. Signal Process.
Przemyslaw Sliwinski, Zygmunt Hasiewicz
2005 J jnl
Nonparametric identification of nonlinearities in block-oriented systems by orthogonal wavelets with compact support.
IEEE Trans. Circuits Syst. I Regul. Pap.
Zygmunt Hasiewicz, Miroslaw Pawlak, Przemyslaw Sliwinski
2002 J jnl
Identification of non-linear characteristics of a class of block-oriented non-linear systems via Daubechies wavelet-based models.
Int. J. Syst. Sci.
Zygmunt Hasiewicz, Przemyslaw Sliwinski