Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging (Q62690124)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

title

Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging (English)

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

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3

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

Alzheimer's Disease Neuroimaging Initiative

1 May 2020

series ordinal

4

object named as

Alzheimer’s Disease Neuroimaging Initiative

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

author name string

Vanessa Gómez-Verdejo

series ordinal

1

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

Emilio Parrado-Hernández

series ordinal

2

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

publication date

1 October 2019

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

language of work or name

English

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number of pages

17

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published in

Neuroinformatics

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

volume

17

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

issue

4

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

page(s)

593-609

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

Creative Commons Attribution 4.0 International

1 May 2020

copyright license

start time

27 March 2019

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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describes a project that uses

Jupyter notebook file

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Sources of heterogeneity in schizophrenia: the role of neuropsychological functioning

PubMed Central

cites work

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12 December 2020

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

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Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data

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Gene selection and classification of microarray data using random forest

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Conditional variable importance for random forests

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Images-based suppression of unwanted global signals in resting-state functional connectivity studies

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Permutation importance: a corrected feature importance measure

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Decoding developmental differences and individual variability in response inhibition through predictive analyses across individuals

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Detecting stable distributed patterns of brain activation using Gini contrast

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Total variation regularization for fMRI-based prediction of behavior

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Age correction in dementia--matching to a healthy brain

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Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion

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Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images

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The Illusion of Distribution-Free Small-Sample Classification in Genomics

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Using Multivariate Machine Learning Methods and Structural MRI to Classify Childhood Onset Schizophrenia and Healthy Controls

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Interpretable whole-brain prediction analysis with GraphNet

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Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification

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BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer's Disease

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12 December 2020

The utility of data-driven feature selection: re: Chu et al. 2012.

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A review of feature reduction techniques in neuroimaging

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On the interpretation of weight vectors of linear models in multivariate neuroimaging

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Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction

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Disrupted resting-state functional connectivity in minimally treated chronic schizophrenia

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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

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Prediction of brain maturity based on cortical thickness at different spatial resolutions

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NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

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Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM.

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Increased short-range and long-range functional connectivity in first-episode, medication-naive schizophrenia at rest

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Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia

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Interpreting support vector machine models for multivariate group wise analysis in neuroimaging

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Impact of the resolution of brain parcels on connectome-wide association studies in fMRI.

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Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia

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12 December 2020

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

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12 December 2020

10.1007/S12021-019-9415-3

Identifiers

DOI

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

journals/ni/Gomez-VerdejoPT19

1 May 2020

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

Dimensions publication ID

28 January 2021

0 references

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30919255%20AND%20SRC:MED&resulttype=core&format=json

1 May 2020

PubMed publication ID

30919255

1 reference