| 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 | 2040 | 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 | 752 | 2015 |
| Fast local algorithms for large scale nonnegative matrix and tensor factorizations A Cichocki, AH Phan IEICE transactions on fundamentals of electronics, communications and …, 2009 | 346 | 2009 |
| ICALAB toolboxes A Cichocki http://www. bsp. brain. riken. jp/ICALAB, 2004 | 201* | 2004 |
| 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 | 171* | 2016 |
| Tensor decompositions for feature extraction and classification of high dimensional datasets AH Phan, A Cichocki Nonlinear theory and its applications, IEICE 1 (1), 37-68, 2010 | 167 | 2010 |
| Noninvasive BCIs: Multiway signal-processing array decompositions A Cichocki, Y Washizawa, T Rutkowski, H Bakardjian, AH Phan, S Choi, ... Computer 41 (10), 34-42, 2008 | 139 | 2008 |
| Fast alternating LS algorithms for high order CANDECOMP/PARAFAC tensor factorizations AH Phan, P Tichavský, A Cichocki IEEE Transactions on Signal Processing 61 (19), 4834-4846, 2013 | 108* | 2013 |
| Low complexity damped Gauss--Newton algorithms for CANDECOMP/PARAFAC AH Phan, P Tichavsky, A Cichocki SIAM Journal on Matrix Analysis and Applications 34 (1), 126-147, 2013 | 103* | 2013 |
| PARAFAC algorithms for large-scale problems P Anh Huy, C Andrzej Neurocomputing 74 (11), 1970–1984, 2011 | 96* | 2011 |
| Tensor networks for dimensionality reduction and large-scale optimization: Part 2 applications and future perspectives A Cichocki, AH Phan, Q Zhao, N Lee, I Oseledets, M Sugiyama, ... Foundations and Trends® in Machine Learning 9 (6), 431-673, 2017 | 86 | 2017 |
| Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG F Cong, AH Phan, P Astikainen, Q Zhao, Q Wu, JK Hietanen, T Ristaniemi, ... International journal of neural systems 23 (02), 1350006, 2013 | 60 | 2013 |
| Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification AH Phan, A Cichocki Neurocomputing 74 (11), 1956-1969, 2011 | 60 | 2011 |
| Flexible HALS algorithms for sparse non-negative matrix/tensor factorization A Cichocki, AH Phan, C Caiafa 2008 Ieee Workshop on Machine Learning for Signal Processing, 73-78, 2008 | 48 | 2008 |
| Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array F Cong, AH Phan, Q Zhao, T Huttunen-Scott, J Kaartinen, T Ristaniemi, ... International journal of neural systems 22 (06), 1250025, 2012 | 47 | 2012 |
| Cramer-Rao-Induced Bounds for CANDECOMP/PARAFAC tensor decomposition P Tichavsky, AH Phan, Z Koldovsky Transactions on Signal Processsing 61 (8), 1986-1997, 2013 | 43 | 2013 |
| CANDECOMP/PARAFAC decomposition of high-order tensors through tensor reshaping AH Phan, P Tichavský, A Cichocki IEEE Transactions on Signal Processing 61 (19), 4847-4860, 2013 | 37 | 2013 |
| Tensor Deflation for CANDECOMP/PARAFAC. Part 1: Alternating Subspace Update Algorithm AH Phan, P Tichavsky, A Cichocki Transaction on Signal Processing, 2015 | 27 | 2015 |
| Fast and efficient algorithms for nonnegative Tucker decomposition AH Phan, A Cichocki International Symposium on Neural Networks, 772-782, 2008 | 25 | 2008 |
| Flexible component analysis for sparse, smooth, nonnegative coding or representation A Cichocki, AH Phan, R Zdunek, LQ Zhang International Conference on Neural Information Processing, 811-820, 2007 | 24 | 2007 |
Andrzej CichockiSKOLKOVO Institute of Science and Technology, Nicolaus Copernicus University UMK, Systems ResearchEmail verificata su skoltech.ru
