Tomasz Piotrowski

Orcid: 0000-0002-1998-4658

According to our database1, Tomasz Piotrowski authored at least 25 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Positive concave deep equilibrium models.
CoRR, 2024

2023
ToFFi - Toolbox for frequency-based fingerprinting of brain signals.
Neurocomputing, August, 2023

2022
The Fixed Point Iteration of Positive Concave Mappings Converges Geometrically if a Fixed Point Exists: Implications to Wireless Systems.
IEEE Trans. Signal Process., 2022

Relaxed zero-forcing beamformer under temporally-correlated interference.
Signal Process., 2022

Inverse Solvability and Security with Applications to Federated Learning.
CoRR, 2022

2021
supFunSim: Spatial Filtering Toolbox for EEG.
Neuroinformatics, 2021

Fixed points of monotonic and (weakly) scalable neural networks.
CoRR, 2021

Localization of brain activity from EEG/MEG using MV-PURE framework.
Biomed. Signal Process. Control., 2021

History of positron emission tomography (PET) in Poland.
Bio Algorithms Med Syst., 2021

2019
MV-PURE Spatial Filters With Application to EEG/MEG Source Reconstruction.
IEEE Trans. Signal Process., 2019

Iterative Neural Networks with Bounded Weights.
CoRR, 2019

Beamformer Design under Time-correlated Interference and Online Implementation: Brain-activity Reconstruction from EEG.
Proceedings of the IEEE International Conference on Acoustics, 2019

Perception of non-native phoneme contrasts in 8-13 months infants: tensor-based analysis of EEG signals.
Proceedings of the 27th European Signal Processing Conference, 2019

2016
Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio.
J. Frankl. Inst., 2016

Reconstruction of brain activity in EEG/MEG using reduced-rank nulling spatial filter.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

2014
Performance of the stochastic MV-PURE estimator in highly noisy settings.
J. Frankl. Inst., 2014

Reduced-rank neural activity index for EEG/MEG multi-source localization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Intelligent emotions stabilization system using standardized images, breath sensor and biofeedback - new concept.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization.
Proceedings of the Brain Informatics and Health - International Conference, 2014

2013
MV-PURE estimator of dipole source signals in EEG.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Performance of the stochastic MV-PURE estimator with explicit modeling of uncertainty.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Efficient Parallel Computation of the Stochastic MV-PURE Estimator by the Hybrid Steepest Descent Method.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2009
Stochastic MV-PURE Estimator - Robust Reduced-Rank Estimator for Stochastic Linear Model.
IEEE Trans. Signal Process., 2009

Why the stochastic MV-PURE estimator excels in highly noisy situations?
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems.
IEEE Trans. Signal Process., 2008


  Loading...