Acurracy comparison of CCA and FBCCA algorithms. حسب Hossein Hamidi Shishavan (19688384)

Rank correlation plot for TF-binding algorithms and the peaBrain impact score. حسب Moustafa Abdalla (12419257)

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. حسب Cihun-Siyong Alex Gong (11874066)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. حسب Borjan Milinkovic (21349908)

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. حسب Gabriel Matías Lorenz (21094672)

PCA calculation FRHGs score. حسب Lixia Chen (614030)

الموضوعات:

Average accuracy (across all 12 subject) as a function of the number of eigenvectors obtained with different dimensionality reduction techniques for the best classifier—k-NN (see a... حسب Elnaz Lashgari (11278808)

Fractal dimension of cortical functional connectivity networks & severity of disorders of consciousness حسب Thomas F. Varley (8446899)

"…<div><p>Recent evidence suggests that the quantity and quality of conscious experience may be a function of the complexity of activity in the brain and that consciousness emerges in a critical zone between low and high-entropy states. …"

Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. حسب Konstantina Charmpi (9901053)

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

"…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …"

Penalty functions used in different methods. حسب Souvik Seal (12437166)

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. حسب Arian Ashourvan (6685232)

PCA visualization of LSTM hidden layer activity of an example 7-hidden-unit network (#7). حسب Quan Wan (1329666)

الموضوعات:

Comparison of the SVM_AV, SVM_PCA, SVM_SKPCA and SVM_WKPCA method AUC values. حسب Wen Bo Liu (11559222)

الموضوعات:

Comparison of the RF_AV, RF_PCA, RF_SKPCA and RF_WKPCA method AUC values. حسب Wen Bo Liu (11559222)

الموضوعات:

Comparison of the KNN_AV, KNN_PCA, KNN_SKPCA and KNN_WKPCA method AUC values. حسب Wen Bo Liu (11559222)

الموضوعات:

Data_Sheet_1_Combined brain network topological metrics with machine learning algorithms to identify essential tremor.docx حسب Qin Li (36669)

"…</p>Conclusion<p>These results demonstrated that combining topological metrics with ML algorithms could not only achieve high classification accuracy for discrimination ET from HCs but also help us to reveal the potential topological pathogenesis of ET.…"

Loss functions between PCA-DNN model and PCA-LSTM model. حسب Cihun-Siyong Alex Gong (11874066)

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

Performance of SVM model for various kernel functions. حسب Xueliang Guo (4797057)