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Tomasz Piotrowski
Tomasz Piotrowski
Associate Professor, Nicolaus Copernicus University
Dirección de correo verificada de is.umk.pl
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Año
MV-PURE estimator: Minimum-variance pseudo-unbiased reduced-rank estimator for linearly constrained ill-conditioned inverse problems
T Piotrowski, I Yamada
IEEE Transactions on Signal Processing 56 (8), 3408-3423, 2008
372008
Stochastic MV-PURE estimator—robust reduced-rank estimator for stochastic linear model
T Piotrowski, RLG Cavalcante, I Yamada
IEEE Transactions on Signal Processing 57 (4), 1293-1303, 2009
302009
Performance of the stochastic MV-PURE estimator in highly noisy settings
T Piotrowski, I Yamada
Journal of the Franklin Institute 351 (6), 3339-3350, 2014
162014
Spatiotemporal complexity patterns of resting‐state bioelectrical activity explain fluid intelligence: Sex matters
J Dreszer, M Grochowski, M Lewandowska, J Nikadon, J Gorgol, B Bałaj, ...
Human brain mapping 41 (17), 4846-4865, 2020
152020
MV-PURE estimator of dipole source signals in EEG
T Piotrowski, CC Zaragoza-Martínez, D Gutiérrez, I Yamada
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
142013
MV-PURE spatial filters with application to EEG/MEG source reconstruction
T Piotrowski, J Nikadon, D Gutiérrez
IEEE Transactions on Signal Processing 67 (3), 553-567, 2019
13*2019
Reduced-rank neural activity index for EEG/MEG multi-source localization
T Piotrowski, D Gutiérrez, I Yamada, J Żygierewicz
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
102014
The fixed point iteration of positive concave mappings converges geometrically if a fixed point exists: Implications to wireless systems
T Piotrowski, RLG Cavalcante
IEEE Transactions on Signal Processing 70, 4697-4710, 2022
92022
supFunSim: Spatial Filtering Toolbox for EEG
K Rykaczewski, J Nikadon, W Duch, T Piotrowski
Neuroinformatics 19, 107-125, 2021
82021
A family of reduced-rank neural activity indices for EEG/MEG source localization
T Piotrowski, D Gutiérrez, I Yamada, J Żygierewicz
Brain Informatics and Health: International Conference, BIH 2014, Warsaw …, 2014
82014
Why the stochastic MV-PURE estimator excels in highly noisy situations?
T Piotrowski, I Yamada
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
82009
Localization of brain activity from EEG/MEG using MV-PURE framework
T Piotrowski, J Nikadon, A Moiseev
Biomedical Signal Processing and Control 64 (102243), 2021
62021
Fixed points of nonnegative neural networks
TJ Piotrowski, RLG Cavalcante, M Gabor
Journal of Machine Learning Research 25 (139), 1-40, 2024
42024
Efficient parallel computation of the stochastic MV-PURE estimator by the hybrid steepest descent method
T Piotrowski, I Yamada
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
42012
ToFFi–Toolbox for frequency-based fingerprinting of brain signals
MK Komorowski, K Rykaczewski, T Piotrowski, K Jurewicz, ...
Neurocomputing 544, 126236, 2023
32023
Perception of non-native phoneme contrasts in 8-13 months infants: tensor-based analysis of EEG signals
M Aghabeig, B Bałaj, J Dreszer, M Lewandowska, R Milner, N Pawlaczyk, ...
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
32019
Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio
T Piotrowski, I Yamada
Journal of the Franklin Institute 353 (13), 2898-2928, 2016
32016
Convex formulation of the stochastic MV-PURE estimator and its relation to the reduced rank Wiener filter
T Piotrowski, I Yamada
2008 International Conference on Signals and Electronic Systems, 397-400, 2008
3*2008
An application of MV-PURE estimator to robust detection problem in multiaccess MIMO wireless systems
T Piotrowski, RLG Cavalcante, I Yamada
Proc. IEICE SIP, 2007
32007
Positive concave deep equilibrium models
M Gabor, T Piotrowski, RLG Cavalcante
Proceedings of the 41st International Conference on Machine Learning, 21-27 …, 2024
22024
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Artículos 1–20