Consistency of model-derived predictive patterns as a function of sample diversity. حسب Oualid Benkarim (9707986)

Classification accuracy and information transfer rate (ITR) as a function of the measurement set-up and the number of combined trials. حسب Dovilė Kurmanavičiūtė (21072549)

Confusion matrices of machine learning models trained on data oversampled by SMOTE and data trained with class weights given to the loss function. حسب Lucas Teoh (12878206)

Spatial characterization and cell-type-specific genes in mouse brain tissue. حسب Huamei Li (8815955)

Data_Sheet_1_A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks.docx حسب Maria Grazia Puxeddu (10211162)

"…Finally, as a proof of concept, we show an application of the algorithms to real functional brain networks derived from EEG signals collected at rest with closed and open eyes. …"

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

الموضوعات:

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Out-of-distribution prediction and performance of predictive models as a function of sample diversity. حسب Oualid Benkarim (9707986)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

الموضوعات:

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

Application of Cell2Spatial to 10× Genomics Xenium mouse brain data. حسب Huamei Li (8815955)

Estimation accuracy across different structural and functional components of the BVEP model. حسب Meysam Hashemi (4114738)

"…<p>(<b>A</b>) Excitability values used for simulation () versus the estimated values () for a selected brain region (node number 6). As the node dynamics are varied by changing the excitability parameter (functional component), the model inversion by NUTS algorithm demonstrates an accurate and robust estimation by recovering the ground truth. …"

Image_1_Test-retest reliability of modular-relevant analysis in brain functional network.PDF حسب Xuyun Wen (414454)

"…Considering the repeatability of network partition depends heavily on network size and module detection algorithm, we constructed three types of brain functional networks for each subject by using a set of coarse-to-fine brain atlases and adopted four methods for single-subject module detection and twelve methods for group-level module detection.…"

Hierarchical decomposition of covariance in gene expression space brain is mirrored by a matching decomposition in brain space. حسب Stan Kerstjens (13410092)

Data_Sheet_5_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... حسب Zhaoshun Jiang (7478243)

"…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…"

Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... حسب Zhaoshun Jiang (7478243)

"…Our study was aimed at exploring the whole-brain FC patterns of all regions in DMN and the potential features as biomarkers for the prediction of DNR using machine-learning algorithms.…"