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Detecting and Diagnosing Incipient Building Faults Using Uncertainty
  Information from Deep Neural Networks

Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks

18 February 2019
Baihong Jin
Dan Li
S. Srinivasan
See-Kiong Ng
K. Poolla
Alberto L. Sangiovanni-Vincentelli
    UQCVAI4CE
ArXiv (abs)PDFHTML

Papers citing "Detecting and Diagnosing Incipient Building Faults Using Uncertainty Information from Deep Neural Networks"

10 / 10 papers shown
Title
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Xiao Xu
Yang Wang
Xinru Wei
Fei Wang
Xizhe Zhang
60
7
0
24 Aug 2023
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in
  Safety-Critical Applications
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Taotao Zhou
E. Droguett
A. Mosleh
F. Chan
EDL
64
40
0
08 Oct 2021
Explainable Incipient Fault Detection Systems for Photovoltaic Panels
Explainable Incipient Fault Detection Systems for Photovoltaic Panels
Seshapalli Sairam
S. Srinivasan
Giancarlo Marafioti
Subathra Geir Mathisen
G. Mathisen
K. Bekiroglu
12
3
0
19 Nov 2020
Generalizing Fault Detection Against Domain Shifts Using
  Stratification-Aware Cross-Validation
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation
Yingshui Tan
Baihong Jin
Qiushi Cui
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
17
0
0
20 Aug 2020
Using Ensemble Classifiers to Detect Incipient Anomalies
Using Ensemble Classifiers to Detect Incipient Anomalies
Baihong Jin
Yingshui Tan
Albert Liu
Xiangyu Yue
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
27
3
0
20 Aug 2020
Exploiting Uncertainties from Ensemble Learners to Improve
  Decision-Making in Healthcare AI
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
Yingshui Tan
Baihong Jin
Xiangyu Yue
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
59
7
0
12 Jul 2020
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis
  of Intermediate-Severity Faults?
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
Baihong Jin
Yingshui Tan
Yuxin Chen
K. Poolla
Alberto L. Sangiovanni-Vincentelli
AI4CE
35
2
0
07 Jul 2020
Augmenting Monte Carlo Dropout Classification Models with Unsupervised
  Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
Baihong Jin
Yingshui Tan
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
37
6
0
10 Sep 2019
An Encoder-Decoder Based Approach for Anomaly Detection with Application
  in Additive Manufacturing
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing
Baihong Jin
Yingshui Tan
A. Nettekoven
Yuxin Chen
Ufuk Topcu
Yisong Yue
Alberto L. Sangiovanni-Vincentelli
UQCV
56
39
0
26 Jul 2019
A One-Class Support Vector Machine Calibration Method for Time Series
  Change Point Detection
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection
Baihong Jin
Yuxin Chen
Dan Li
K. Poolla
Alberto L. Sangiovanni-Vincentelli
43
31
0
18 Feb 2019
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