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Andrzej Cichocki
Andrzej Cichocki
Systems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)
Verified email at riken.jp
Title
Cited by
Cited by
Year
Adaptive Blind Signal and Image Processing (new revised and improved edition)
A Cichocki, S Amari
3510*2003
A new learning algorithm for blind signal separation
S Amari, A Cichocki, H Yang
Advances in neural information processing systems 8, 1995
31041995
Nonnegative matrix and tensor factorization [lecture notes]
A Cichocki, R Zdunek, S Amari
IEEE signal processing magazine 25 (1), 142-145, 2007
29722007
Neural Networks for Optimization and Signal Processing. 1993
A Cichocki, R Unbehauen
Wiley, New York, 0
2677*
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
14792018
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
13622015
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
10682010
Adaptive blind signal processing-neural network approaches
S Amari, A Cichocki
Proceedings of the IEEE 86 (10), 2026-2048, 1998
7321998
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
6002005
Fast local algorithms for large scale nonnegative matrix and tensor factorizations
A Cichocki, AH Phan
IEICE transactions on fundamentals of electronics, communications and …, 2009
5962009
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
5282010
Families of alpha-beta-and gamma-divergences: Flexible and robust measures of similarities
A Cichocki, S Amari
Entropy 12 (6), 1532-1568, 2010
5282010
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
4881997
Stability analysis of learning algorithms for blind source separation
S Amari, TP Chen, A Cichocki
Neural Networks 10 (8), 1345-1351, 1997
4821997
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
4742015
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
473*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
4692006
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
4602018
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
4562005
Analysis of sparse representation and blind source separation
Y Li, A Cichocki, S Amari
Neural computation 16 (6), 1193-1234, 2004
4472004
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