Archetype connectivity. by Giulio Ruffini (383994)

Subjects:

Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

Algorithmic flow of the verifiable delay function. by Xinhao Zheng (16637664)

Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

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

Subjects:

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

“…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. …”

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

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

DataSheet_1_Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI.pdf by Tingting Zhang (264633)

“…<p>Using the Pearson correlation coefficient to constructing functional brain network has been evidenced to be an effective means to diagnose different stages of mild cognitive impairment (MCI) disease. …”

DataSheet_1_Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI.pdf by Tingting Zhang (264633)

“…<p>Using the Pearson correlation coefficient to constructing functional brain network has been evidenced to be an effective means to diagnose different stages of mild cognitive impairment (MCI) disease. …”

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

Subjects:

Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

“…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…”

Table_1_Quantification and Selection of Ictogenic Zones in Epilepsy Surgery.DOCX by Petroula Laiou (7446842)

“…<p>Network models of brain dynamics provide valuable insight into the healthy functioning of the brain and how this breaks down in disease. …”

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. by Yang Cao (53545)

“…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.…”

Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100. by Yang Cao (53545)

“…<p>Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.…”

GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…Researchers have developed statistical techniques and theoretical guarantees for analysis of graph data that overcome these challenges. However, these algorithms were not available in a unified, accessible implementation that could be used by the broader scientific and connectomics community. …”

Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

The parameters of algorithms. by Le Huu Binh (18340233)

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