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
Qibin ZhaoRIKEN AIPVerified email at postman.riken.jp
François VialatteInstitut pour la Pratique et l'Innovation en PSYchologie appliquéeVerified email at pi-psy.org
Rafal ZdunekPolitechnika WrocławskaVerified email at pwr.wroc.pl
Jing JinFull Professor of East china of University of Science and TechnologyVerified email at ecust.edu.cn
Guoxu ZhouGuangdong University of TechnologyVerified email at ieee.org
Justin DauwelsDelft University of TechnologyVerified email at tudelft.nl
Liqing Zhang （张丽清）Professor, Department of Computer Science, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.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
Cesar F. CaiafaIndependent Researcher at CONICET - Adjunct Professor at University of Buenos AiresVerified email at iar.unlp.edu.ar
Toshihisa TanakaTokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Sergio CrucesProfessor, Universidad de Sevilla (University of Seville)Verified email at us.es
Jordi Solé-Casals (ORCID:0000-0002-...Full Professor at the University of Vic - Central University of CataloniaVerified email at uvic.cat
Ivan OseledetsSkolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Jianting CaoSaitama Institute of TechnologyVerified email at sit.ac.jp
Scott C. DouglasProfessor of Electrical Engineering, Southern Methodist UniversityVerified email at smu.edu
Stanisław OsowskiWarsaw University of TechnologyVerified email at iem.pw.edu.pl

Andrzej Cichocki

Skoltech , IBS PAN , UMK Torun, Riken AIP

Verified email at skoltech.ru

Biomedical Signal Processing neural engineering Tensor decomposition Tensors brain_machine_interfaces


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	3486*	2003
A new learning algorithm for blind signal separation S Amari, A Cichocki, H Yang Advances in neural information processing systems 8, 1995	3018	1995
Neural Networks for Optimization and Signal Processing. 1993 A Cichocki, R Unbehauen Wiley, New York, 0	2622*
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	2607	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	1213	2015
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	1178	2018
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	1007	2010
Adaptive blind signal processing-neural network approaches S Amari, A Cichocki Proceedings of the IEEE 86 (10), 2026-2048, 1998	725	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	573	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	543	2009
Families of alpha-beta-and gamma-divergences: Flexible and robust measures of similarities A Cichocki, S Amari Entropy 12 (6), 1532-1568, 2010	497	2010
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	487	2010
Stability analysis of learning algorithms for blind source separation S Amari, TP Chen, A Cichocki Neural Networks 10 (8), 1345-1351, 1997	475	1997
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	473	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	459	2006
Analysis of sparse representation and blind source separation Y Li, A Cichocki, S Amari Neural computation 16 (6), 1193-1234, 2004	440	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	437	2005
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	420	2010
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	403*	2016
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	393	1996

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