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Elsevier电子期刊(58)
在“
Elsevier电子期刊
”中,
命中:
58
条,耗时:小于0.01 秒
在所有数据库中总计命中:
58
条
1.
Comparison of L-curve and
LOOCV
depth profiles from TAARXPS data
作者:
R.W. Paynter
;
royston_paynter@emt.inrs.ca
关键词:
Tikhonov regularization
;
Time and angle resolved photoelectron spectroscopy
刊名:Journal of Electron Spectroscopy and Related Phenomena
出版年:2017
2.
BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis
作者:
Duolin Wang
1
;
2
;
Juexin Wang
2
;
Yuexu Jiang
1
;
2
;
Yanchun Liang
1
;
2
;
Dong Xu
1
;
2
;
xudong@missouri.edu
关键词:
DC
;
differential co-expression
;
DE
;
differential expression
;
BFDCA
;
Bayes Factor approach for Differential Co-expression Analysis
;
WGCNA
;
Weighted Gene Coexpression Network Analysis
;
ALL
;
acute lymphoblastic leukemia
;
LOOCV
;
leave-one-out cross-validation
;
GO
;
gene ontology
;
ER
;
estrogen receptors
;
GEO
;
gene expression omnibus
刊名:Journal of Molecular Biology
出版年:2017
3.
Mapping the convergent temporal epileptic network in left and right temporal lobe epilepsy
作者:
Peng Fang
a
;
1
;
Jie An
b
;
1
;
Ling-Li Zeng
a
;
Hui Shen
a
;
Shijun Qiu
b
;
qiu-sj@163.com
;
Dewen Hu
a
;
dwhu@nudt.edu.cn
关键词:
MRI
;
magnetic resonance imaging
;
TLE
;
temporal lobe epilepsy
;
HS
;
hippocampal sclerosis
;
DTI
;
diffusion tensor imaging
;
LOOCV
;
leave-one-out cross-validation
;
ROI
;
region of interest
;
SVM
;
support vector machine
;
GR
;
generalization rate
;
SC
;
specificity
;
SS
;
sensitivity
;
ROC
;
receiver operating characteristic
;
FA
;
fractional anisotropy
;
dlPFC
;
prefrontal cortex
;
OFC
;
orbitofrontal cortex
刊名:Neuroscience Letters
出版年:2017
4.
Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer
作者:
Ranjay Shrestha
a
;
b
;
Liping Di
a
;
b
;
ldi@gmu.edu
;
Eugene G. Yu
a
;
Lingjun Kang
a
;
b
;
Yuan-zheng SHAO
c
;
Yu-qi BAI
d
关键词:
NDVI
;
MODIS
;
agriculture
;
corn yield
;
remote sensing
;
regression
刊名:Journal of Integrative Agriculture
出版年:2017
5.
Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity鈥擜 multi-center study
作者:
Heng Chen
a
;
1
;
Xujun Duan
a
;
1
;
Feng Liu
a
;
Fengmei Lu
a
;
Xujing Ma
a
;
Youxue Zhang
a
;
Lucina Q. Uddin
b
;
Huafu Chen
a
;
chenhf@uestc.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
ABIDE
;
Autism Brain Imaging Data Exchange
;
ACC
;
anterior cingulate cortex
;
AUC
;
area under the ROC curve
;
CN
;
cerebellum network
;
CON
;
cingulo-opercular network
;
DMN
;
default mode network
;
FC
;
functional connectivity
;
FD
;
framewise displacement
;
fMRI
;
functional magnetic resonance imaging
;
FPN
;
fronto-parietal network
;
HC
;
healthy control
;
LOOCV
;
leave one out cross validation
;
MVPA
;
multivariate pattern analysis
;
ON
;
occipital network
;
PCC
;
post cingulate cortex
;
ROC
;
receiver operating charact
刊名:Progress in Neuropsychopharmacology & Biological Psychiatry
出版年:2016
6.
Aug-MIA-SPR/PLS-DA classification of carbonyl herbicides according to levels of soil sorption
作者:
Mirlaine R. Freitas
;
Stephen J. Barigye
;
Joyce K. Daré
;
Matheus P. Freitas
matheus@dqi.ufla.br" class="auth_mail" title="E-mail the corresponding author
关键词:
Aug-MIA-SPR
;
augmented multivariate image analysis applied to structure&ndash
;
property relationships
;
PLS-DA
;
partial least squares-discriminant analysis
;
logKOC
;
logarithm of the soil/water partition coefficient normalized to organic carbon
;
LOOCV
;
leave-one-out cross-validation
刊名:Geoderma
出版年:2016
7.
Tree species classification based on explicit tree structure feature parameters derived from static terrestrial laser scanning data
作者:
Yi Lin
a
;
yi.lin@pku.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Martin Herold
b
关键词:
Tree species classification
;
Static terrestrial laser scanning (TLS)
;
Explicit tree structure feature parameters
;
Support vector machine (SVM) classifier
;
Leave-one-out-for-cross-validation (
LOOCV
)
刊名:Agricultural and Forest Meteorology
出版年:2016
8.
A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging
作者:
Zhuqing Long
a
;
&dagger
;
;
Bin Jing
a
;
&dagger
;
;
Huagang Yan
a
;
Jianxin Dong
a
;
Han Liu
a
;
Xiao Mo
a
;
Ying Han
b
;
c
;
13621011941@163.com" class="auth_mail" title="E-mail the corresponding author
;
Haiyun Li
a
;
haiyunli@ccmu.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
ALFF
;
amplitude of low-frequency fluctuation
;
AMYG
;
amygdala
;
AUC
;
area under the curve
;
BOLD
;
blood oxygen level dependence
;
CAU
;
caudate
;
CDR
;
Clinical Dementia Rating scale
;
DTI
;
diffusion tensor imaging
;
GMD
;
gray matter density
;
HE
;
Hurst exponent
;
HIP
;
hippocampus
;
IFG
;
inferior frontal gyrus
;
IPL
;
inferior parietal lobule
;
LING
;
lingual gyrus
;
LN
;
lentiform nucleus
;
LOOCV
;
leave-one-out cross-validation
;
MCI
;
mild cognitive impairment
;
MFG
;
middle frontal gyrus
;
MRI
;
magnetic resonance im
刊名:Neuroscience
出版年:2016
9.
Geostatistical interpolation and aggregation of crop growth model outputs
作者:
Luc Steinbuch
a
;
b
;
luc.steinbuch@wur.nl" class="auth_mail" title="E-mail the corresponding author
;
lst@dds.nl" class="auth_mail" title="E-mail the corresponding author
;
Dick J. Brus
c
;
Lenny G.J. van Bussel
d
;
Gerard B.M. Heuvelink
a
;
b
关键词:
CZ
;
agro-ecological climate zones
;
GYGA
;
global yield gap atlas
;
KED
;
kriging with external drift
;
LOOCV
;
leave one out cross validation
;
REML
;
restricted maximum likelihood estimation
;
RVH
;
regressor variable hull
;
RWS
;
reference weather station
;
reference weather station location
;
SCDF
;
spatial cumulative distribution function
;
sd
;
standard deviation
;
se
;
standard error
;
SPAM
;
spatial plant allocation model
;
WOFOST
;
world food studies
;
Yp
;
yield potential
;
Yw
;
water-limited yield potential
刊名:European Journal of Agronomy
出版年:2016
10.
Prediction of brain maturity in infants using machine-learning algorithms
作者:
Christopher D. Smyser
a
;
b
;
c
;
smyserc@neuro.wustl.edu" class="auth_mail" title="E-mail the corresponding author
;
Nico U.F. Dosenbach
a
;
dosenbachn@neuro.wustl.edu" class="auth_mail" title="E-mail the corresponding author
;
Tara A. Smyser
d
;
smysert@psychiatry.wustl.edu" class="auth_mail" title="E-mail the corresponding author
;
Abraham Z. Snyder
a
;
c
;
avi@npg.wustl.edu" class="auth_mail" title="E-mail the corresponding author
;
Cynthia E. Rogers
d
;
rogersc@psychiatry.wustl.edu" class="auth_mail" title="E-mail the corresponding author
;
Terrie E. Inder
e
;
tinder@partners.org" class="auth_mail" title="E-mail the corresponding author
;
Bradley L. Schlaggar
a
;
b
;
c
;
d
;
f
;
schlaggarb@neuro.wustl.edu" class="auth_mail" title="E-mail the corresponding author
;
Jeffrey J. Neil
g
;
jeffrey.neil@childrens.harvard.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
rs-fMRI
;
resting state-functional magnetic resonance imaging
;
RSN
;
resting state network
;
PMA
;
postmenstrual age
;
SVM
;
support vector machine
;
MVPA
;
multivariate pattern analysis
;
SVR
;
support vector regression
;
GA
;
gestational age
;
NICU
;
neonatal intensive care unit
;
EPI
;
echo-planar-image
;
BOLD
;
blood oxygen level dependent
;
ROI
;
region of interest
;
LOOCV
;
leave-one-out-cross-validation
;
MNI
;
Montreal Neurological Institute
刊名:NeuroImage
出版年:2016
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