Optimizing functional network representation of multivariate time series.
about
Feature selection in the reconstruction of complex network representations of spectral data.Knowledge discovery in spectral data by means of complex networks.Frequent and discriminative subnetwork mining for mild cognitive impairment classification.Integration of network topological and connectivity properties for neuroimaging classification.Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classificationAdditional brain functional network in adults with attention-deficit/hyperactivity disorder: a phase synchrony analysis.Wearable-Sensor-Based Classification Models of Faller Status in Older AdultsComplex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes.Hyper-connectivity of functional networks for brain disease diagnosis.Graph analysis of functional brain networks: practical issues in translational neuroscience.Functional brain networks: great expectations, hard times and the big leap forward.Reconstructing functional brain networks: have we got the basics right?From phenotype to genotype in complex brain networks.Efficient Computation of Functional Brain Networks: toward Real-Time Functional ConnectivityComplex network theory and the brain.Direct-coupling information measure from nonuniform embedding.Generative model selection using a scalable and size-independent complex network classifier.Discrimination of coupling structures using causality networks from multivariate time series.Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component Analysis Based on Minimum Spanning Tree Brain Functional Network.Dynamical networks: Finding, measuring, and tracking neural population activity using network scienceLearning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease ClassificationThe blessing of Dimensionality: Feature Selection outperforms functional connectivity-based feature transformation to classify ADHD subjects from EEG patterns of phase synchronisationTopological structures are consistently overestimated in functional complex networksThe Multiscale Conformation Evolution of the Financial Time SeriesMultiscale Fluctuation Features of the Dynamic Correlation between Bivariate Time Series
P2860
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P2860
Optimizing functional network representation of multivariate time series.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Optimizing functional network representation of multivariate time series.
@ast
Optimizing functional network representation of multivariate time series.
@en
type
label
Optimizing functional network representation of multivariate time series.
@ast
Optimizing functional network representation of multivariate time series.
@en
prefLabel
Optimizing functional network representation of multivariate time series.
@ast
Optimizing functional network representation of multivariate time series.
@en
P2093
P2860
P356
P1433
P1476
Optimizing functional network representation of multivariate time series.
@en
P2093
David Papo
Ernestina Menasalvas
Francisco del Pozo
Juan García-Prieto
Massimiliano Zanin
Pedro Sousa
Ricardo Bajo
Stefano Boccaletti
P2860
P2888
P356
10.1038/SREP00630
P407
P577
2012-09-05T00:00:00Z
P5875
P6179
1011091159