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algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm design (Expand Search)
within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
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from function » from functional (Expand Search), fc function (Expand Search)
algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm design (Expand Search)
within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
algorithm from » algorithm flow (Expand Search)
brain function » barrier function (Expand Search), protein function (Expand Search)
from function » from functional (Expand Search), fc function (Expand Search)
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Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Published 2019“…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …”
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P-values from analysis of ABIDE dataset for binary outcome of diagnostic group.
Published 2024Subjects: -
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Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.
Published 2024Subjects: -
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Distribution of cross correlations in functional connectivity in ABIDE sample.
Published 2024Subjects: -
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Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition
Published 2024“…In this work, we study the complex impact of multi-state functional connectivity on behaviors by analyzing the data from a recent landmark brain development and child health study. …”
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Route for bays29 output by ABSQL algorithm.
Published 2023“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”
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Detailed information of benchmark functions.
Published 2024“…The primary objective of this method is to create an effective data dimensionality reduction technique for eliminating redundant, irrelevant, and noisy features within high-dimensional datasets. Drawing inspiration from the Chinese idiom “Chai Lang Hu Bao,” hybrid algorithm mechanisms, and cooperative behaviors observed in natural animal populations, we amalgamate the GWO algorithm, the Lagrange interpolation method, and the GJO algorithm to propose the multi-strategy fusion GJO-GWO algorithm. …”
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