Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
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Prediction of Ventricular Tachycardia One Hour before Occurrence Using Artificial Neural Networks.Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment.Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective
P2860
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
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2016 nî lūn-bûn
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2016 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մարտին հրատարակված գիտական հոդված
@hy
2016年の論文
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2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
@nl
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@ast
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@en
type
label
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
@nl
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@ast
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@en
prefLabel
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
@nl
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@ast
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@en
P2093
P2860
P3181
P356
P1433
P1476
Higher-order Multivariable Polynomial Regression to Estimate Human Affective States.
@en
P2093
Guangyuan Liu
Jiemin Yang
P2860
P2888
P3181
P356
10.1038/SREP23384
P407
P577
2016-03-21T00:00:00Z
P6179
1027135782