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Baihong Jin

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Predicting Electricity Infrastructure Induced Wildfire Risk in California

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Jun 06, 2022
Mengqi Yao, Meghana Bharadwaj, Zheng Zhang, Baihong Jin, Duncan S. Callaway

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Class-wise Thresholding for Detecting Out-of-Distribution Data

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Nov 24, 2021
Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria Zuluaga, Yuxin Chen, Alberto Sangiovanni-Vincentelli

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Super-Resolution Reconstruction of Interval Energy Data

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Oct 23, 2020
Jieyi Lu, Baihong Jin

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Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation

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Aug 20, 2020
Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto Sangiovanni Vincentelli

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Using Ensemble Classifiers to Detect Incipient Anomalies

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Aug 20, 2020
Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli

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Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI

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Jul 12, 2020
Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli

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Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

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Jul 08, 2020
Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto Sangiovanni Vincentelli

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Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults

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Sep 10, 2019
Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto Sangiovanni-Vincentelli

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An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing

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Jul 26, 2019
Baihong Jin, Yingshui Tan, Alexander Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto Sangiovanni Vincentelli

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