Andrzej Cichocki
Andrzej Cichocki
Systems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)
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Adaptive Blind Signal and Image Processing (new revised and improved edition)
A Cichocki, S Amari
A new learning algorithm for blind signal separation
S Amari, A Cichocki, H Yang
Advances in neural information processing systems 8, 1995
Nonnegative matrix and tensor factorization [lecture notes]
A Cichocki, R Zdunek, S Amari
IEEE signal processing magazine 25 (1), 142-145, 2007
Neural Networks for Optimization and Signal Processing. 1993
A Cichocki, R Unbehauen
Wiley, New York, 0
A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
F Lotte, L Bougrain, A Cichocki, M Clerc, M Congedo, A Rakotomamonjy, ...
Journal of neural engineering 15 (3), 031005, 2018
Tensor decompositions for signal processing applications: From two-way to multiway component analysis
A Cichocki, D Mandic, L De Lathauwer, G Zhou, Q Zhao, C Caiafa, ...
IEEE signal processing magazine 32 (2), 145-163, 2015
Steady-state visually evoked potentials: focus on essential paradigms and future perspectives
FB Vialatte, M Maurice, J Dauwels, A Cichocki
Progress in neurobiology 90 (4), 418-438, 2010
Adaptive blind signal processing-neural network approaches
S Amari, A Cichocki
Proceedings of the IEEE 86 (10), 2026-2048, 1998
Blind source separation and independent component analysis: A review
S Choi, A Cichocki, HM Park, SY Lee
Neural Information Processing-Letters and Reviews 6 (1), 1-57, 2005
Fast local algorithms for large scale nonnegative matrix and tensor factorizations
A Cichocki, AH Phan
IEICE transactions on fundamentals of electronics, communications and …, 2009
Diagnosis of Alzheimer's disease from EEG signals: where are we standing?
J Dauwels, F Vialatte, A Cichocki
Current Alzheimer Research 7 (6), 487-505, 2010
Families of alpha-beta-and gamma-divergences: Flexible and robust measures of similarities
A Cichocki, S Amari
Entropy 12 (6), 1532-1568, 2010
Multichannel blind deconvolution and equalization using the natural gradient
S Amari, SC Douglas, A Cichocki, HH Yang
First IEEE signal processing workshop on signal processing advances in …, 1997
Stability analysis of learning algorithms for blind source separation
S Amari, TP Chen, A Cichocki
Neural Networks 10 (8), 1345-1351, 1997
Bayesian CP factorization of incomplete tensors with automatic rank determination
Q Zhao, L Zhang, A Cichocki
IEEE transactions on pattern analysis and machine intelligence 37 (9), 1751-1763, 2015
Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions
A Cichocki, N Lee, I Oseledets, AH Phan, Q Zhao, DP Mandic
Foundations and Trends® in Machine Learning 9 (4-5), 249-429, 2016
Underdetermined blind source separation based on sparse representation
Y Li, SI Amari, A Cichocki, DWC Ho, S Xie
IEEE Transactions on signal processing 54 (2), 423-437, 2006
Emotionmeter: A multimodal framework for recognizing human emotions
WL Zheng, W Liu, Y Lu, BL Lu, A Cichocki
IEEE transactions on cybernetics 49 (3), 1110-1122, 2018
Sparse component analysis and blind source separation of underdetermined mixtures
P Georgiev, F Theis, A Cichocki
IEEE transactions on neural networks 16 (4), 992-996, 2005
Analysis of sparse representation and blind source separation
Y Li, A Cichocki, S Amari
Neural computation 16 (6), 1193-1234, 2004
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