about
The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRIQuantifying functional connectivity in multi-subject fMRI data using component modelsNonparametric Bayesian modeling of complex networks: an introductionInfinite-degree-corrected stochastic block modelNon-parametric Bayesian graph models reveal community structure in resting state fMRIBayesian community detectionERPWAVELAB a toolbox for multi-channel analysis of time-frequency transformed event related potentialsProprioceptive evoked gamma oscillationsAlgorithms for sparse nonnegative Tucker decompositionsThe Danish 22q11 research initiativeClassification of independent components of EEG into multiple artifact classesCross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential linksComparing Structural Brain Connectivity by the Infinite Relational ModelUnsupervised segmentation of task activated regions in fMRIDetecting hierarchical structure in networksNon-parametric co-clustering of large scale sparse bipartite networks on the GPUSimultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian ApproachThe influence of hyper-parameters in the infinite relational modelNonparametric Bayesian clustering of structural whole brain connectivity in full image resolutionNon-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human BrainVariational group-PCA for intrinsic dimensionality determination in fMRI dataLink prediction in weighted networksArchetypal Analysis for Modeling Multisubject fMRI DataScalable Group Level Probabilistic Sparse Factor AnalysisLarge scale inference in the Infinite Relational Model: Gibbs sampling is not enoughArchetypal analysis for machine learning and data miningArchetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airwaysThe missing link: Predicting connectomes from noisy and partially observed tract tracing data.Shift-invariant multilinear decomposition of neuroimaging data.Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI DataWhole brain functional connectivity predicted by indirect structural connectionsAttenuation of beta and gamma oscillations in schizophrenia spectrum patients following hand posture perturbation.Regularity increases middle latency evoked and late induced beta brain response following proprioceptive stimulation.Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEGSparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI DataCorrection: The missing link: Predicting connectomes from noisy and partially observed tract tracing data.Semi-Supervised Kernel PCATwo discrete components of the 20 Hz steady-state response are distinguished through the modulation of activation level.Completely random measures for modelling block-structured sparse networksPredictive assessment of models for dynamic functional connectivity
P50
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P50
description
dansk forsker, maskinlæring, Danmarks Tekniske Universitet
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researcher, machine learning, Technical University of Denmark
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հետազոտող
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Morten Mørup
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2000-01-01T00:00:00Z