| 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 | 37 | 2008 |
| 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 | 30 | 2009 |
| 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 | 16 | 2014 |
| 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 | 15 | 2020 |
| 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 | 14 | 2013 |
| 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 | 10 | 2014 |
| 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 | 9 | 2022 |
| supFunSim: Spatial Filtering Toolbox for EEG K Rykaczewski, J Nikadon, W Duch, T Piotrowski Neuroinformatics 19, 107-125, 2021 | 8 | 2021 |
| 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 | 8 | 2014 |
| 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 | 8 | 2009 |
| 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 | 5 | 2021 |
| Fixed points of nonnegative neural networks TJ Piotrowski, RLG Cavalcante, M Gabor Journal of Machine Learning Research 25 (139), 1-40, 2024 | 4 | 2024 |
| 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 | 4 | 2012 |
| ToFFi–Toolbox for frequency-based fingerprinting of brain signals MK Komorowski, K Rykaczewski, T Piotrowski, K Jurewicz, ... Neurocomputing 544, 126236, 2023 | 3 | 2023 |
| 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 | 3 | 2019 |
| 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 | 3 | 2016 |
| 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 | 3 | 2007 |
| Positive concave deep equilibrium models M Gabor, T Piotrowski, RLG Cavalcante Proceedings of the 41st International Conference on Machine Learning, 21-27 …, 2024 | 2 | 2024 |
