Konstantinos Slavakis

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Yannis KopsinisCEO, LIBRA AI TechnologiesZweryfikowany adres z libramli.ai
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaZweryfikowany adres z umn.edu
Symeon ChouvardasFrance Research Center, Huawei TechnologiesZweryfikowany adres z di.uoa.gr
Masahiro YukawaKeio UniversityZweryfikowany adres z elec.keio.ac.jp
Pantelis BouboulisDepartment of Informatics and Telecommunications. University of AthensZweryfikowany adres z sch.gr
Leslie YingProfessor of Biomedical Engineering & Electrical Engineering, University at BuffaloZweryfikowany adres z buffalo.edu
Sarah Feldt MuldoonAssociate Professor, University at Buffalo, SUNYZweryfikowany adres z buffalo.edu
Gonzalo MateosUniversity of RochesterZweryfikowany adres z ece.rochester.edu
Stephen McLaughlinHeriot-Watt UniversityZweryfikowany adres z hw.ac.uk
David S. WackAssociate Professor, Depts. Nuclear Medicine and Biomedical Engineering, University at BuffaloZweryfikowany adres z buffalo.edu
Gilad LermanUniversity of MinnesotaZweryfikowany adres z umn.edu
Henry E. Baidoo-WilliamsMicrosoftZweryfikowany adres z microsoft.com
Scott Grafton MDUniversity of California at Santa BarbaraZweryfikowany adres z psych.ucsb.edu
Jean M. Vettel, PhDChief Scientist for Experimentation, Army Futures CommandZweryfikowany adres z mail.mil
Richard M. LeahyLeonard Silverman Chair in Electrical and Computer Engineering University of Southern CaliforniaZweryfikowany adres z sipi.usc.edu
Seung-Jun KimUniversity of Maryland, Baltimore CountyZweryfikowany adres z umbc.edu
Geert LeusFull Professor at Delft University of Technology (TU Delft)Zweryfikowany adres z tudelft.nl
Zhengdao WangProfessor of Cybersecurity Engineering, George Mason UniversityZweryfikowany adres z gmu.edu
Shunsuke OnoAssociate Professor, Department of Computer Science, Institute of Science TokyoZweryfikowany adres z c.titech.ac.jp

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Konstantinos Slavakis

Institute of Science Tokyo (ex TokyoTech), Department of Information and Communications Engineering

Zweryfikowany adres z ict.eng.isct.ac.jp - Strona główna

Signal processing Machine learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Modeling and optimization for big data analytics:(statistical) learning tools for our era of data deluge K Slavakis, GB Giannakis, G Mateos IEEE Signal Processing Magazine 31 (5), 18-31, 2014	307	2014
Adaptive learning in a world of projections S Theodoridis, K Slavakis, I Yamada IEEE Signal Processing Magazine 28 (1), 97-123, 2010	267	2010
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted Balls Y Kopsinis, K Slavakis, S Theodoridis IEEE Transactions on Signal Processing 59 (3), 936-952, 2010	189	2010
Adaptive robust distributed learning in diffusion sensor networks S Chouvardas, K Slavakis, S Theodoridis IEEE Transactions on Signal Processing 59 (10), 4692-4707, 2011	186	2011
An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques I Yamada, K Slavakis, K Yamada IEEE Transactions on Signal Processing 50 (5), 1091-1101, 2002	171	2002
Online kernel-based classification using adaptive projection algorithms K Slavakis, S Theodoridis, I Yamada IEEE Transactions on Signal Processing 56 (7), 2781-2796, 2008	134	2008
Robust wideband beamforming by the hybrid steepest descent method K Slavakis, I Yamada IEEE Transactions on Signal Processing 55 (9), 4511-4522, 2007	112	2007
A sparsity promoting adaptive algorithm for distributed learning S Chouvardas, K Slavakis, Y Kopsinis, S Theodoridis IEEE Transactions on Signal Processing 60 (10), 5412-5425, 2012	109	2012
The adaptive projected subgradient method over the fixed point set of strongly attracting nonexpansive mappings K Slavakis, I Yamada, N Ogura Numerical functional analysis and optimization 27 (7-8), 905-930, 2006	100	2006
Adaptive constrained learning in reproducing kernel Hilbert spaces: The robust beamforming case K Slavakis, S Theodoridis, I Yamada IEEE Transactions on Signal Processing 57 (12), 4744-4764, 2009	85	2009
Adaptive kernel-based image denoising employing semi-parametric regularization P Bouboulis, K Slavakis, S Theodoridis IEEE Transactions on Image Processing 19 (6), 1465-1479, 2010	83	2010
Sliding window generalized kernel affine projection algorithm using projection mappings K Slavakis, S Theodoridis EURASIP Journal on Advances in Signal Processing 2008, 1-16, 2008	73	2008
Online learning in reproducing kernel Hilbert spaces K Slavakis, P Bouboulis, S Theodoridis Academic Press Library in Signal Processing 1, 883-987, 2014	72	2014
Adaptive learning in complex reproducing kernel Hilbert spaces employing Wirtinger's subgradients P Bouboulis, K Slavakis, S Theodoridis IEEE transactions on neural networks and learning systems 23 (3), 425-438, 2012	71	2012
Adaptive parallel quadratic-metric projection algorithms M Yukawa, K Slavakis, I Yamada IEEE transactions on audio, speech, and language processing 15 (5), 1665-1680, 2007	69	2007
Trading off complexity with communication costs in distributed adaptive learning via Krylov subspaces for dimensionality reduction S Chouvardas, K Slavakis, S Theodoridis IEEE Journal of Selected Topics in Signal Processing 7 (2), 257-273, 2013	59	2013
Multi-kernel based nonlinear models for connectivity identification of brain networks GV Karanikolas, GB Giannakis, K Slavakis, RM Leahy 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	58	2016
Stochastic approximation vis-a-vis online learning for big data analytics [lecture notes] K Slavakis, SJ Kim, G Mateos, GB Giannakis IEEE Signal Processing Magazine 31 (6), 124-129, 2014	57	2014
Sparsity-aware learning and compressed sensing: An overview S Theodoridis, Y Kopsinis, K Slavakis Academic Press Library in Signal Processing 1, 1271-1377, 2014	55	2014
Adaptive algorithm for sparse system identification using projections onto weighted ℓ₁balls K Slavakis, Y Kopsinis, S Theodoridis 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010	48	2010

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