<p>Note that “std” refers to standard deviation and [<i>f</i><sub>L</sub> <i>f</i><sub>H</sub>] indicates the most frequently selected participant-specific passbands for CSP filters estimated by the heuristic method. The p-values were corrected by the false discovery rate.</p
Comparison of classification accuracy of AD/MCI subjects with state-of-the-art methods using rs-fMRI...
Biometric identification (BI) of individuals is a fast-growing field of research that is producing inc...
<p>(a) The relationship between classification accuracy and stimulus colors for each subject.; (b) A...
<p>Each circle indicates the individual result. Blue and red circles refer to the performance of EEG...
<p>(<b>a</b>) Prediction performance of the classifier at individual level (PAM; P<i>i</i> indicates...
<p>Results for different classification conditions (from left to right: only EEG, only EMG, combinat...
<p>Linear SVM CA across “training sessions—offline CA” (histogram in grey), “feedback sessions—onlin...
To access publisher's full text version of this article. Please click on the hyperlink in Additional...
<p>The mean balanced accuracy for all subjects is shown; the bars indicate the standard deviation.</...
Finke A, Steppacher I, Kißler J, Ritter H. Frequency Band Variations Predict EEG Single-Trial Classi...
Classification-based approaches for data analysis are provoking wide interest and increasing adopti...
<p>The accuracy achieved by the TFFO methodology is significantly better than other reaction latency...
<p>A) Shows the measures of model quality, goodness-of-fit (left) and percent consistency (right). E...
International audienceWhile promising for many applications, Electroencephalography (EEG)-based Brai...
The estimated accuracy of a classifier is a random quantity with variability. A common practice in s...
Comparison of classification accuracy of AD/MCI subjects with state-of-the-art methods using rs-fMRI...
Biometric identification (BI) of individuals is a fast-growing field of research that is producing inc...
<p>(a) The relationship between classification accuracy and stimulus colors for each subject.; (b) A...
<p>Each circle indicates the individual result. Blue and red circles refer to the performance of EEG...
<p>(<b>a</b>) Prediction performance of the classifier at individual level (PAM; P<i>i</i> indicates...
<p>Results for different classification conditions (from left to right: only EEG, only EMG, combinat...
<p>Linear SVM CA across “training sessions—offline CA” (histogram in grey), “feedback sessions—onlin...
To access publisher's full text version of this article. Please click on the hyperlink in Additional...
<p>The mean balanced accuracy for all subjects is shown; the bars indicate the standard deviation.</...
Finke A, Steppacher I, Kißler J, Ritter H. Frequency Band Variations Predict EEG Single-Trial Classi...
Classification-based approaches for data analysis are provoking wide interest and increasing adopti...
<p>The accuracy achieved by the TFFO methodology is significantly better than other reaction latency...
<p>A) Shows the measures of model quality, goodness-of-fit (left) and percent consistency (right). E...
International audienceWhile promising for many applications, Electroencephalography (EEG)-based Brai...
The estimated accuracy of a classifier is a random quantity with variability. A common practice in s...
Comparison of classification accuracy of AD/MCI subjects with state-of-the-art methods using rs-fMRI...
Biometric identification (BI) of individuals is a fast-growing field of research that is producing inc...
<p>(a) The relationship between classification accuracy and stimulus colors for each subject.; (b) A...
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