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D Erdogmus

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Neural Networks|February 5, 2008
Generalized information potential criterion for adaptive system trainingD Erdogmus, J C Principe
Signal Processing|October 8, 2016
Spatio-Temporal EEG Models for Brain InterfacesP Gonzalez-Navarro, M Moghadamfalahi, M Akcakaya, et al.
Methods of Information in Medicine|December 2, 2014
Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principlesE Ataer-Cansizoglu, J Kalpathy-Cramer, S You, et al.
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|July 9, 2014
OBSERVER AND FEATURE ANALYSIS ON DIAGNOSIS OF RETINOPATHY OF PREMATURITYE Ataer-Cansizoglu, S You, J Kalpathy-Cramer, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Assessing subsets of analytes in context of detecting laboratory errorsJ Sourati, S C Kazmierczak, M Akcakaya, et al.
The Journal of the Acoustical Society of America|February 12, 2009
Speech enhancement in discontinuous transmission systems using the constrained-stability least-mean-squares algorithmJ M Górriz, J Ramírez, S Cruces-Alvarez, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|September 7, 2013
On Visually Evoked Potentials in EEG Induced by Multiple Pseudorandom Binary Sequences for Brain Computer Interface DesignH Nezamfar, U Orhan, D Erdogmus, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Improved accuracy using recursive bayesian estimation based language model fusion in ERP-based BCI typing systemsU Orhan, D Erdogmus, B Roark, et al.
Computer Methods and Programs in Biomedicine|June 30, 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approachV Bolón-Canedo, E Ataer-Cansizoglu, D Erdogmus, et al.
Journal of Neural Engineering|March 26, 2011
Optimizing the P300-based brain-computer interface: current status, limitations and future directionsJ N Mak, Y Arbel, J W Minett, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks|February 5, 2008
Generalized information potential criterion for adaptive system trainingD Erdogmus, J C Principe
Signal Processing|October 8, 2016
Spatio-Temporal EEG Models for Brain InterfacesP Gonzalez-Navarro, M Moghadamfalahi, M Akcakaya, et al.
Methods of Information in Medicine|December 2, 2014
Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principlesE Ataer-Cansizoglu, J Kalpathy-Cramer, S You, et al.
IEEE International Workshop on Machine Learning for Signal Processing : [Proceedings]. IEEE International Workshop on Machine Learning for Signal Processing|July 9, 2014
OBSERVER AND FEATURE ANALYSIS ON DIAGNOSIS OF RETINOPATHY OF PREMATURITYE Ataer-Cansizoglu, S You, J Kalpathy-Cramer, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Assessing subsets of analytes in context of detecting laboratory errorsJ Sourati, S C Kazmierczak, M Akcakaya, et al.
The Journal of the Acoustical Society of America|February 12, 2009
Speech enhancement in discontinuous transmission systems using the constrained-stability least-mean-squares algorithmJ M Górriz, J Ramírez, S Cruces-Alvarez, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|September 7, 2013
On Visually Evoked Potentials in EEG Induced by Multiple Pseudorandom Binary Sequences for Brain Computer Interface DesignH Nezamfar, U Orhan, D Erdogmus, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Improved accuracy using recursive bayesian estimation based language model fusion in ERP-based BCI typing systemsU Orhan, D Erdogmus, B Roark, et al.
Computer Methods and Programs in Biomedicine|June 30, 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approachV Bolón-Canedo, E Ataer-Cansizoglu, D Erdogmus, et al.
Journal of Neural Engineering|March 26, 2011
Optimizing the P300-based brain-computer interface: current status, limitations and future directionsJ N Mak, Y Arbel, J W Minett, et al.
Pageof 2