Yingshui Tan
Yingshui Tan
Email verificata su eecs.berkeley.edu - Home page
Citata da
Citata da
An encoder-decoder based approach for anomaly detection with application in additive manufacturing
Y Tan, B Jin, A Nettekoven, Y Chen, Y Yue, U Topcu, ...
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
Y Tan, B Jin, X Yue, Y Chen, AS Vincentelli
arXiv preprint arXiv:2007.06063, 2020
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?
B Jin, Y Tan, Y Chen, K Poolla
arXiv preprint arXiv:2007.03167, 2020
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults
B Jin, Y Tan, Y Chen, A Sangiovanni-Vincentelli
arXiv preprint arXiv:1909.04202, 2019
Using Ensemble Classifiers to Detect Incipient Anomalies
B Jin, Y Tan, A Liu, X Yue, Y Chen, AS Vincentelli
arXiv preprint arXiv:2008.08710, 2020
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation
Y Tan, B Jin, Q Cui, X Yue, AS Vincentelli
arXiv preprint arXiv:2008.08713, 2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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