Andrzej Cichocki

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Amari S*Verified email at brain.riken.jp
ANH-HUY PHANSKOLKOVO Institute of Science and TechnologyVerified email at skoltech.ru
François VialatteInstitut pour la Pratique et l'Innovation en PSYchologie appliquéeVerified email at pi-psy.org
Qibin ZhaoRIKEN AIPVerified email at postman.riken.jp
Rafal ZdunekPolitechnika WrocławskaVerified email at pwr.wroc.pl
Justin DauwelsDelft University of TechnologyVerified email at tudelft.nl
Guoxu ZhouGuangdong University of TechnologyVerified email at ieee.org
Liqing Zhang （张丽清）Professor, Department of Computer Science, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
Jing JinFull Professor of East china of University of Science and TechnologyVerified email at ecust.edu.cn
Danilo MandicDepartment of Electrical and Electronic Engineering, Imperial College London, United KingdomVerified email at imperial.ac.uk
Yu ZhangLehigh University, Stanford UniversityVerified email at lehigh.edu
Seungjin ChoiProfessor of Computer Science, Pohang University of Science and TechnologyVerified email at postech.ac.kr
Tomasz M. RutkowskiRIKEN AIP & The University of Tokyo & Griffith UniversityVerified email at bci-lab.info
Petr TichavskyInstitute of Information Theory and AutomationVerified email at utia.cas.cz
Hovagim BakardjianProject Leader, Institute of Memory and Alzheimer’s Disease, Pitié-Salpêtrière University HospitalVerified email at icm-institute.org
Toshihisa TanakaTokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Cesar F. CaiafaIndependent Researcher at CONICET - Adjunct Professor at University of Buenos AiresVerified email at iar.unlp.edu.ar
Pando GeorgievStevens Institute of TechnologyVerified email at stevens.edu
Sergio CrucesProfessor, Universidad de Sevilla (University of Seville)Verified email at us.es
Jordi Solé-CasalsFull Professor at the University of Vic - Central University of CataloniaVerified email at uvic.cat

Andrzej Cichocki

SKOLKOVO Institute of Science and Technology, Nicolaus Copernicus University UMK, Poland Systems

Verified email at skoltech.ru - Homepage

Biomedical Signal Processing Brain_Machine_Interface Tensor decomposition Tensors Tensor Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Adaptive Blind Signal and Image Processing (new revised and improved edition) A Cichocki, S Amari	3399*	2003
A new learning algorithm for blind signal separation S Amari, A Cichocki, HH Yang Advances in neural information processing systems, 757-763, 1996	2962	1996
Neural networks for optimization and signal processing A Cichocki, R Unbehauen, RW Swiniarski wiley, 1993	2457	1993
Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation A Cichocki, R Zdunek, AH Phan, S Amari John Wiley & Sons, 2009	2274	2009
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	968	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	868	2010
Adaptive blind signal processing-neural network approaches S Amari, A Cichocki Proceedings of the IEEE 86 (10), 2026-2048, 1998	704	1998
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	686	2018
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	543	2005
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	466	1997
Stability analysis of learning algorithms for blind source separation S Amari, TP Chen, A Cichocki Neural Networks 10 (8), 1345-1351, 1997	465	1997
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	448	2006
Fast local algorithms for large scale nonnegative matrix and tensor factorizations A Cichocki, AH Phan IEICE transactions on fundamentals of electronics, communications and …, 2009	429	2009
Families of alpha-beta-and gamma-divergences: Flexible and robust measures of similarities A Cichocki, S Amari Entropy 12 (6), 1532-1568, 2010	427	2010
Analysis of sparse representation and blind source separation Y Li, A Cichocki, S Amari Neural computation 16 (6), 1193-1234, 2004	420	2004
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	415	2005
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	414	2010
Robust neural networks with on-line learning for blind identification and blind separation of sources A Cichocki, R Unbehauen IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 1996	379	1996
A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG J Dauwels, F Vialatte, T Musha, A Cichocki NeuroImage 49 (1), 668-693, 2010	360	2010
Era of big data processing: A new approach via tensor networks and tensor decompositions A Cichocki arXiv preprint arXiv:1403.2048, 2014	338	2014

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