Deniz Erdogmus
Deniz Erdogmus
Professor of ECE, Northeastern University
Dirección de correo verificada de ece.neu.edu - Página principal
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Information theoretic learning: Renyi's entropy and kernel perspectives
JC Principe
Springer Science & Business Media, 2010
7722010
An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems
D Erdogmus, JC Principe
IEEE Transactions on Signal Processing 50 (7), 1780-1786, 2002
3322002
Generalized information potential criterion for adaptive system training
D Erdogmus, JC Principe
IEEE Transactions on Neural Networks 13 (5), 1035-1044, 2002
2562002
The future of human-in-the-loop cyber-physical systems
G Schirner, D Erdogmus, K Chowdhury, T Padir
Computer 46 (1), 36-45, 2013
2492013
Optimizing the P300-based brain–computer interface: current status, limitations and future directions
JN Mak, Y Arbel, JW Minett, LM McCane, B Yuksel, D Ryan, D Thompson, ...
Journal of neural engineering 8 (2), 025003, 2011
2112011
Blind source separation using Renyi's mutual information
KE Hild, D Erdogmus, J Príncipe
IEEE Signal Processing Letters 8 (6), 174-176, 2001
1932001
Locally defined principal curves and surfaces
U Ozertem, D Erdogmus
Journal of Machine learning research 12 (Apr), 1249-1286, 2011
1872011
Feature extraction using information-theoretic learning
KE Hild, D Erdogmus, K Torkkola, JC Principe
IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (9), 1385-1392, 2006
1722006
A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces
SP Kim, JC Sanchez, YN Rao, D Erdogmus, JM Carmena, MA Lebedev, ...
Journal of neural engineering 3 (2), 145, 2006
1282006
Clustering using Renyi's entropy
R Jenssen, KE Hild, D Erdogmus, JC Principe, T Eltoft
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
1262003
A novel LMS algorithm applied to adaptive noise cancellation
JM Gorriz, J Ramírez, S Cruces-Alvarez, CG Puntonet, EW Lang, ...
IEEE Signal Processing Letters 16 (1), 34-37, 2008
1172008
Feature selection in MLPs and SVMs based on maximum output information
V Sindhwani, S Rakshit, D Deodhare, D Erdogmus, JC Principe, P Niyogi
IEEE transactions on neural networks 15 (4), 937-948, 2004
1122004
From linear adaptive filtering to nonlinear information processing-the design and analysis of information processing systems
D Erdogmus, JC Principe
IEEE Signal Processing Magazine 23 (6), 14-33, 2006
1062006
Information theoretic learning: Renyi's entropy and its applications to adaptive system training
D Erdogmus
University of Florida, 2002
1062002
Auto-context convolutional neural network (auto-net) for brain extraction in magnetic resonance imaging
SSM Salehi, D Erdogmus, A Gholipour
IEEE transactions on medical imaging 36 (11), 2319-2330, 2017
1042017
SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging
EG Larsson, D Erdogmus, R Yan, JC Principe, JR Fitzsimmons
Journal of Magnetic Resonance 163 (1), 121-123, 2003
1032003
Development and evaluation of a web-based signal and speech processing laboratory for distance learning
A Spanias, S Urban, A Constantinou, M Tampi, A Clausen, X Zhang, ...
2000 IEEE International Conference on Acoustics, Speech, and Signal …, 2000
99*2000
Entropy minimization for supervised digital communications channel equalization
I Santamaría, D Erdogmus, JC Principe
IEEE Transactions on Signal Processing 50 (5), 1184-1192, 2002
972002
RSVP keyboard: An EEG based typing interface
U Orhan, KE Hild, D Erdogmus, B Roark, B Oken, M Fried-Oken
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
962012
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks
JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ...
JAMA ophthalmology 136 (7), 803-810, 2018
932018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20