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Improving brain–computer interface classification using adaptive common spatial patterns

Computers in biology and medicine, 2015-06, Vol.61, p.150-160

2015

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Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation

IEEE transactions on image processing, 2007-12, Vol.16 (12), p.3035-3046

2007

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SVM-Based Data Editing for Enhanced One-Class Classification of Remotely Sensed Imagery

IEEE geoscience and remote sensing letters, 2008-04, Vol.5 (2), p.189-193

2008

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Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility

Brain connectivity, 2016-03, Vol.6 (2), p.136-151

2016

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Automatic CRP mapping using nonparametric machine learning approaches

IEEE transactions on geoscience and remote sensing, 2005-04, Vol.43 (4), p.888-897

2005

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Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis

IEEE transactions on circuits and systems for video technology, 2006-07, Vol.16 (7), p.904-914

2006

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A study of long-term fMRI reproducibility using data-driven analysis methods

International journal of imaging systems and technology, 2014-12, Vol.24 (4), p.339-349

2014

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A SVM-based quantitative fMRI method for resting-state functional network detection

Magnetic resonance imaging, 2014-09, Vol.32 (7), p.819-831

2014

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Unsupervised spatiotemporal fMRI data analysis using support vector machines

NeuroImage (Orlando, Fla.), 2009-08, Vol.47 (1), p.204-212

2009

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Spatially regularized machine learning for task and resting-state fMRI

Journal of neuroscience methods, 2016-01, Vol.257, p.214-228

2016

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A /spl nu/-insensitive SVM approach for compliance monitoring of the conservation reserve program

IEEE geoscience and remote sensing letters, 2005-04, Vol.2 (2), p.99-103

2005

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Baseline drift and physiological noise removal in high field FMRI data using kernel PCA

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.441-444

2008

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A kernel machine-based fMRI physiological noise removal method

Magnetic resonance imaging, 2014-02, Vol.32 (2), p.150-162

2014

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Key-frame extraction for object-based video segmentation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, 2005, Vol.2, p.ii/689-ii/692 Vol. 2

2005

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Driver drowsiness detection using single-channel dry EEG

2017 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2017, p.1-3

2017

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One-class Machine Learning for Brain Activation Detection

2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, p.1-6

2007

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Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility

Brain connectivity, 2016-03, Vol.6 (2), p.136

2016

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A unified machine learning method for task-related and resting state fMRI data analysis

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6426-6429

2014

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Adaptive Common Spatial Pattern for single-trial EEG classification in multisubject BCI

2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013, p.411-414

2013

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A quadcopter controlled by brain concentration and eye blink

2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2016, p.1-4

2016

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A study of kernel CSP-based motor imagery brain computer interface classification

2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2012, p.1-4

2012

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Incremental versus non-incremental learning in adaptive common spatial patterns

2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2015, p.1-4

2015

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A study of long‐term f MRI reproducibility using data‐driven analysis methods

International journal of imaging systems and technology, 2014-12, Vol.24 (4), p.339-349

2014

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Brain functional mapping using spatially regularized support vector machines

2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2015, p.1-6

2015

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A study of EEG features for multisubject brain-computer interface classification

2014 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2014, p.1-1

2014

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Improving brain–computer interface classification using adaptive common spatial patterns

Selecting Salient Frames for Spatiotemporal Video Modeling and Segmentation

SVM-Based Data Editing for Enhanced One-Class Classification of Remotely Sensed Imagery

Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility

Automatic CRP mapping using nonparametric machine learning approaches

Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis

A study of long-term fMRI reproducibility using data-driven analysis methods

A SVM-based quantitative fMRI method for resting-state functional network detection

Unsupervised spatiotemporal fMRI data analysis using support vector machines

Spatially regularized machine learning for task and resting-state fMRI

A /spl nu/-insensitive SVM approach for compliance monitoring of the conservation reserve program

Baseline drift and physiological noise removal in high field FMRI data using kernel PCA

A kernel machine-based fMRI physiological noise removal method

Key-frame extraction for object-based video segmentation

Driver drowsiness detection using single-channel dry EEG

One-class Machine Learning for Brain Activation Detection

Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility

A unified machine learning method for task-related and resting state fMRI data analysis

Adaptive Common Spatial Pattern for single-trial EEG classification in multisubject BCI

A quadcopter controlled by brain concentration and eye blink

A study of kernel CSP-based motor imagery brain computer interface classification

Incremental versus non-incremental learning in adaptive common spatial patterns

A study of long‐term f MRI reproducibility using data‐driven analysis methods

Brain functional mapping using spatially regularized support vector machines

A study of EEG features for multisubject brain-computer interface classification

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