Tomasz M. Rutkowski
Tomasz M. Rutkowski
RIKEN AIP & The University of Tokyo
Verified email at - Homepage
TitleCited byYear
ICALAB toolboxes
A Cichocki, S Amari, K Siwek, T Tanaka, AH Phan, R Zdunek, S Cruces, ..., 2002
Noninvasive BCIs: Multiway signal-processing array decompositions
A Cichocki, Y Washizawa, T Rutkowski, H Bakardjian, AH Phan, S Choi, ...
Computer 41 (10), 2008
EMD approach to multichannel EEG data—the amplitude and phase components clustering analysis
TM Rutkowski, DP Mandic, A Cichocki, AW Przybyszewski
Journal of Circuits, Systems, and Computers 19 (01), 215-229, 2010
Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users
TM Rutkowski, H Mori
Journal of Neuroscience Methods 244, 45-51, 2015
Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets
AK Barros, T Rutkowski, F Itakura, N Ohnishi
IEEE Transactions on Neural Networks 13 (4), 888-893, 2002
Constrained non-negative matrix factorization method for EEG analysis in early detection of Alzheimer disease
Z Chen, A Cichocki, TM Rutkowski
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 …, 2006
Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach
TM Rutkowski, F Vialatte, A Cichocki, DP Mandic, AK Barros
Lecture Notes in Artificial Intelligence 4253, 1232-1239, 2006
Comparison of P300 responses in auditory, visual and audiovisual spatial speller BCI paradigms
M Chang, N Nishikawa, ZR Struzik, K Mori, S Makino, D Mandic, ...
Fifth International Brain-Computer Interface Meeting 2013, Article ID: 156, 2013
Collaborative Adaptive Learning using Hybrid Filters.
DP Mandic, P Vayanos, C Boukis, B Jelfs, SL Goh, T Gautama, ...
ICASSP (3), 921-924, 2007
Blind source separation and sparse bump modelling of time frequency representation of eeg signals: New tools for early detection of alzheimer’s disease
F Vialatte, A Cichocki, G Dreyfus, T Musha, TM Rutkowski, R Gervais
Machine Learning for Signal Processing, 2005 IEEE Workshop on, 27-32, 2005
Separation of EOG artifacts from EEG signals using bivariate EMD
MKI Molla, T Tanaka, TM Rutkowski, A Cichocki
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010
Ocular artifacts removal from EEG using EMD
D Looney, L Li, TM Rutkowski, DP Mandic, A Cichocki
Advances in Cognitive Neurodynamics ICCN 2007, 831-835, 2008
Multichannel EEG brain activity pattern analysis in time–frequency domain with nonnegative matrix factorization support
TM Rutkowski, R Zdunek, A Cichocki
International Congress Series 1301, 266-269, 2007
Artifact suppression from EEG signals using data adaptive time domain filtering
MKI Molla, MR Islam, T Tanaka, TM Rutkowski
Neurocomputing 97, 297-308, 2012
Workshops of the fifth international brain-computer interface meeting: defining the future
JE Huggins, C Guger, B Allison, CW Anderson, A Batista, AM Brouwer, ...
Brain-Computer Interfaces 1 (1), 27-49, 2014
Multichannel spectral pattern separation-an EEG processing application
TM Rutkowski, A Cichocki, T Tanaka, DP Mandic, J Cao, AL Ralescu
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
Spatial auditory paradigms for brain computer/machine interfacing
TM Rutkowski, A Cichocki, DP Mandic
International workshop on the principles and applications of spatial hearing …, 2009
A blind extraction of temporally correlated but statistically dependent acoustic signals
A Cichocki, T Rutkowski, AK Barros, SH Oh
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE …, 2000
EEG auditory steady state responses classification for the novel BCI
H Higashi, TM Rutkowski, Y Washizawa, A Cichocki, T Tanaka
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International …, 2011
Measuring neural synchrony by message passing
J Dauwels, F Vialatte, T Rutkowski, AS Cichocki
Advances in neural information processing systems, 361-368, 2008
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Articles 1–20