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1709.00845
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Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction
4 September 2017
A. Yoon
Taehoon Lee
Yongsub Lim
Deokwoo Jung
Philgyun Kang
Dongwon Kim
Keuntae Park
Yongjin Choi
MedIm
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Papers citing
"Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction"
8 / 8 papers shown
Title
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
71
91
0
13 Apr 2022
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
Tilman Krokotsch
M. Knaak
C. Gühmann
46
22
0
19 Aug 2021
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
Zhaoyi Xu
J. Saleh
81
352
0
19 Aug 2020
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders
M. A. Chao
B. Adey
Olga Fink
DRL
14
3
0
28 Dec 2019
A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
Luca Della Libera
BDL
UQCV
41
1
0
14 Nov 2019
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information
Gabriel Michau
Olga Fink
56
31
0
22 Jul 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
T. Vishnu
Diksha Garg
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
UQCV
69
16
0
23 Mar 2019
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals
Gabriel Michau
Yang Hu
Thomas Palmé
Olga Fink
49
49
0
12 Oct 2018
1