Data_Sheet_1_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX حسب Raymond Salvador (813880)

"…On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …"

Data_Sheet_2_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX حسب Raymond Salvador (813880)

"…On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …"

Data_Sheet_3_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX حسب Raymond Salvador (813880)

"…On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …"

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)

List of Abbreviations حسب Gursimran Singh (575288)

الموضوعات:

The results of ICA performed using PyNoetic. حسب Gursimran Singh (575288)

الموضوعات:

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)