Cesar F. Caiafa

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Andrzej CichockiSystems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)Verified email at riken.jp
Qibin ZhaoRIKEN AIPVerified email at postman.riken.jp
Jordi Solé-Casals (ORCID:0000-0002-...Full Professor at the University of Vic - Central University of CataloniaVerified email at uvic.cat
ANH-HUY PHANSKOLKOVO Institute of Science and TechnologyVerified email at skoltech.ru
Franco PestilliThe University of Texas, AustinVerified email at utexas.edu
Danilo MandicDepartment of Electrical and Electronic Engineering, Imperial College London, United KingdomVerified email at imperial.ac.uk
Sun ZheJuntendo University/RIKENVerified email at riken.jp
Guoxu ZhouGuangdong University of TechnologyVerified email at ieee.org
Lieven De LathauwerKULeuvenVerified email at kuleuven.be
Pere Marti-PuigAssociate Professor, University of VicVerified email at uvic.cat
Liqing Zhang （张丽清）Professor, Department of Computer Science, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
Leonidas Facundo CaramProfessor at Engineering Faculty, Buenos Aires UniversityVerified email at fi.uba.ar
Lindsey KitchellJohns Hopkins University Applied Physics LabVerified email at jhuapl.edu
Bradley CaronPrograms of Neuroscience & Vision Sciences, Indiana UniversityVerified email at iu.edu
Emanuele SalernoNational Research Council of ItalyVerified email at ieee.org
Hiromasa TakemuraNational Institute for Physiological SciencesVerified email at nips.ac.jp
Andrew SaykinIndiana University School of MedicineVerified email at iu.edu
Olaf SpornsDistinguished Professor, Psychological and Brain Sciences, Indiana UniversityVerified email at indiana.edu
Sergio E. LewUniversidad de Buenos AiresVerified email at fi.uba.ar
Laura A. SuadInstituto Argentino de RadioastronomíaVerified email at iar.unlp.edu.ar

Cesar F. Caiafa

Independent Researcher at CONICET - Adjunct Professor at University of Buenos Aires

Verified email at iar.unlp.edu.ar - Homepage

Machine learning compressed sensing sparse representations tensors brain diffusion MRI


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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	1413	2015
Computing sparse representations of multidimensional signals using Kronecker bases CF Caiafa, A Cichocki Neural computation 25 (1), 186-220, 2013	204	2013
Higher order partial least squares (HOPLS): A generalized multilinear regression method Q Zhao, CF Caiafa, DP Mandic, ZC Chao, Y Nagasaka, N Fujii, L Zhang, ... IEEE transactions on pattern analysis and machine intelligence 35 (7), 1660-1673, 2012	151	2012
Ensemble tractography H Takemura, CF Caiafa, BA Wandell, F Pestilli PLoS computational biology 12 (2), e1004692, 2016	109	2016
Generalizing the column–row matrix decomposition to multi-way arrays CF Caiafa, A Cichocki Linear Algebra and its Applications 433 (3), 557-573, 2010	108	2010
Multidimensional compressed sensing and their applications CF Caiafa, A Cichocki Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3 (6 …, 2013	107	2013
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services P Avesani, B McPherson, S Hayashi, CF Caiafa, R Henschel, ... Scientific data 6 (1), 69, 2019	82	2019
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	65	2008
Associative white matter connecting the dorsal and ventral posterior human cortex D Bullock, H Takemura, CF Caiafa, L Kitchell, B McPherson, B Caron, ... Brain structure and Function 224, 2631-2660, 2019	62	2019
Stable, robust, and super fast reconstruction of tensors using multi-way projections CF Caiafa, A Cichocki IEEE Transactions on Signal Processing 63 (3), 780-793, 2014	59	2014
Block sparse representations of tensors using Kronecker bases CF Caiafa, A Cichocki 2012 IEEE international conference on acoustics, speech and signal …, 2012	53	2012
Blind spectral unmixing by local maximization of non-Gaussianity CF Caiafa, E Salerno, AN Proto, L Fiumi Signal Processing 88 (1), 50-68, 2008	49	2008
Multidimensional encoding of brain connectomes CF Caiafa, F Pestilli Scientific reports 7 (1), 11491, 2017	47	2017
Separation of statistically dependent sources using an L2-distance non-Gaussianity measure CF Caiafa, AN Proto Signal Processing 86 (11), 3404-3420, 2006	43	2006
Multilinear subspace regression: An orthogonal tensor decomposition approach Q Zhao, CF Caiafa, D Mandic, L Zhang, T Ball, A Schulze-Bonhage, ... Advances in Neural Information Processing Systems 24, 2011	39	2011
Brain-computer interface with corrupted EEG data: a tensor completion approach J Sole-Casals, CF Caiafa, Q Zhao, A Cichocki Cognitive Computation 10, 1062-1074, 2018	38	2018
A multimodal emotion recognition method based on facial expressions and electroencephalography Y Tan, Z Sun, F Duan, J Solé-Casals, CF Caiafa Biomedical Signal Processing and Control 70, 103029, 2021	36	2021
Dynamic peer-to-peer competition LF Caram, CF Caiafa, AN Proto, M Ausloos Physica A: Statistical Mechanics and its Applications 389 (13), 2628-2636, 2010	33	2010
Cooperative peer-to-peer multiagent-based systems LF Caram, CF Caiafa, M Ausloos, AN Proto Physical Review E 92 (2), 022805, 2015	24	2015
A new catalogue of HI supershell candidates in the outer part of the Galaxy LA Suad, CF Caiafa, EM Arnal, S Cichowolski Astronomy & Astrophysics 564 (A116), 1-14, 2014	23	2014

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