Deniz Erdogmus
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Information theoretic learning: Renyi's entropy and kernel perspectives
JC Principe
Springer Science & Business Media, 2010
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
The future of human-in-the-loop cyber-physical systems
G Schirner, D Erdogmus, K Chowdhury, T Padir
Computer 46 (1), 36-45, 2013
Generalized information potential criterion for adaptive system training
D Erdogmus, JC Principe
IEEE Transactions on Neural Networks 13 (5), 1035-1044, 2002
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
Locally defined principal curves and surfaces
U Ozertem, D Erdogmus
The Journal of Machine Learning Research 12, 1249-1286, 2011
Blind source separation using Renyi's mutual information
KE Hild, D Erdogmus, J Príncipe
IEEE Signal Processing Letters 8 (6), 174-176, 2001
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
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
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
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
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
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
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
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
Information theoretic learning: Renyi's entropy and its applications to adaptive system training
D Erdogmus
University of Florida, 2002
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
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
Entropy minimization for supervised digital communications channel equalization
I Santamaría, D Erdogmus, JC Principe
IEEE Transactions on Signal Processing 50 (5), 1184-1192, 2002
The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels
R Jenssen, JC Principe, D Erdogmus, T Eltoft
Journal of the Franklin Institute 343 (6), 614-629, 2006
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