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Vangelis P Oikonomou

Showing results (1-10 of 25) with videos related to

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Sensors (Basel, Switzerland)|March 11, 2023
Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP SignalsVangelis P Oikonomou
Sensors (Basel, Switzerland)|October 27, 2022
An Adaptive Task-Related Component Analysis Method for SSVEP RecognitionVangelis P Oikonomou
Computational Intelligence and Neuroscience|November 12, 2020
A Novel Bayesian Approach for EEG Source LocalizationVangelis P Oikonomou, Ioannis Kompatsiaris
IEEE Transactions on Medical Imaging|October 11, 2012
An adaptive regression mixture model for fMRI cluster analysisVangelis P Oikonomou, Konstantinos Blekas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
A Bayesian approach for the estimation of AR coefficients from noisy biomedical dataVangelis P Oikonomou, Dimitrios I Fotiadis
IEEE Transactions on Bio-Medical Engineering|January 11, 2011
A sparse and spatially constrained generative regression model for fMRI data analysisVangelis P Oikonomou, Konstantinos Blekas, Loukas Astrakas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Discrimination of SSVEP responses using a kernel based approachVangelis P Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
IEEE Journal of Biomedical and Health Informatics|October 30, 2018
A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI DetectionVangelis P Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Sparse Kernel Machines for motor imagery EEG classificationVangelis P Oikonomou, Spiros Nikolopoulos, Panagiotis Petrantonakis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
A bayesian spatio - temporal approach for the analysis of FMRI data with non - stationary noiseVangelis P Oikonomou, Evanthia E Tripoliti, Dimitrios I Fotiadis
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Sensors (Basel, Switzerland)|March 11, 2023
Human Recognition Using Deep Neural Networks and Spatial Patterns of SSVEP SignalsVangelis P Oikonomou
Sensors (Basel, Switzerland)|October 27, 2022
An Adaptive Task-Related Component Analysis Method for SSVEP RecognitionVangelis P Oikonomou
Computational Intelligence and Neuroscience|November 12, 2020
A Novel Bayesian Approach for EEG Source LocalizationVangelis P Oikonomou, Ioannis Kompatsiaris
IEEE Transactions on Medical Imaging|October 11, 2012
An adaptive regression mixture model for fMRI cluster analysisVangelis P Oikonomou, Konstantinos Blekas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
A Bayesian approach for the estimation of AR coefficients from noisy biomedical dataVangelis P Oikonomou, Dimitrios I Fotiadis
IEEE Transactions on Bio-Medical Engineering|January 11, 2011
A sparse and spatially constrained generative regression model for fMRI data analysisVangelis P Oikonomou, Konstantinos Blekas, Loukas Astrakas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Discrimination of SSVEP responses using a kernel based approachVangelis P Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
IEEE Journal of Biomedical and Health Informatics|October 30, 2018
A Bayesian Multiple Kernel Learning Algorithm for SSVEP BCI DetectionVangelis P Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Sparse Kernel Machines for motor imagery EEG classificationVangelis P Oikonomou, Spiros Nikolopoulos, Panagiotis Petrantonakis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
A bayesian spatio - temporal approach for the analysis of FMRI data with non - stationary noiseVangelis P Oikonomou, Evanthia E Tripoliti, Dimitrios I Fotiadis
Pageof 3