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DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain

DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain

Dianbo Liu
Fengjiao Peng
Andrew Shea
Ognjen
Ognjen Rudovic
Rosalind W. Picard
    CVBM
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Papers citing "DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain"

7 / 7 papers shown
Title
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
D. Martinez
Ognjen Rudovic
Rosalind W. Picard
39
83
0
22 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
161
2,833
0
15 Jun 2017
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation
Joy O. Egede
Michel Valstar
Brais Martínez
MedIm
41
66
0
17 Jan 2017
Gradients of Counterfactuals
Gradients of Counterfactuals
Mukund Sundararajan
Ankur Taly
Qiqi Yan
FAtt
96
104
0
08 Nov 2016
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
Adria Ruiz
Ognjen Rudovic
Xavier Binefa
Maja Pantic
53
12
0
06 Sep 2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Shcherbina
A. Kundaje
FAtt
94
791
0
05 May 2016
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
605
15,907
0
12 Nov 2013