<p>Classification performances of the proposed method according to the number applied base classifiers, for all subjects.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Performance of the subject-dependent classifiers for single-trial ERP data.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Classification performances of all methods as a function of feature subset size, for a) first b) ...
<p>Classification performance of all methods as a function of feature subset size, for a) first b) s...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Recognition rates and other parameters of the base classifiers for combining methods using three ...
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Classification performance of the single metrics and multi-modal combinations.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Performance of the subject-dependent classifiers for single-trial ERP data.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Classification performance of all methods as a function of training set size, for a) first b) sec...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Classification performances of all methods as a function of feature subset size, for a) first b) ...
<p>Classification performance of all methods as a function of feature subset size, for a) first b) s...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Recognition rates and other parameters of the base classifiers for combining methods using three ...
Comparison of the classification performance by the proposed network and other methods.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Classification performance of the single metrics and multi-modal combinations.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>Performance of the subject-dependent classifiers for single-trial ERP data.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
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