<p>Performance of the “Training Data Set” using the classification algorithm J48.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Performance of automatic classification using expert-defined and discretized features.</p
<p>The mean classification performance is shown for each time window and each subject.</p
<p>Classification performance achieved with different feature reduction techniques.</p
<p>Classification performance of the single metrics and multi-modal combinations.</p
<p>Performance for all classification algorithms over all peak picking and peak clustering algorithm...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance of different classification algorithms for stroke case identification.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>The performance of our method and other existing methods on PDB186 dataset.</p
<p>Performance of different classification algorithms for stroke type identification.</p
<p>Performance of the algorithm for cough classification together with cough sound detection using t...
<p>Performance on “Worms”, “Doves” and “Chameleons”, with the local classifier.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Performance of automatic classification using expert-defined and discretized features.</p
<p>The mean classification performance is shown for each time window and each subject.</p
<p>Classification performance achieved with different feature reduction techniques.</p
<p>Classification performance of the single metrics and multi-modal combinations.</p
<p>Performance for all classification algorithms over all peak picking and peak clustering algorithm...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>Performance of different classification algorithms for stroke case identification.</p
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>The performance of our method and other existing methods on PDB186 dataset.</p
<p>Performance of different classification algorithms for stroke type identification.</p
<p>Performance of the algorithm for cough classification together with cough sound detection using t...
<p>Performance on “Worms”, “Doves” and “Chameleons”, with the local classifier.</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Performance of automatic classification using expert-defined and discretized features.</p
<p>The mean classification performance is shown for each time window and each subject.</p
DOI
Add to ORKG