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Yi Shan Lee

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2020 – today

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2024
[j3]
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  - journals/eaai/LeeC24
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Yi Shan Lee, Junghui Chen:
A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors. Eng. Appl. Artif. Intell. 133: 107920 (2024)
2022
[j2]
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Yi Shan Lee, Junghui Chen:
Using source data to aid and build variational state-space autoencoders with sparse target data for process monitoring. Neural Networks 154: 455-468 (2022)
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Yongci Zhang, Yi Shan Lee, Huanting Lin, Junghui Chen:
Establishing Convolutional Neural Network Kalman Recurrent Variational Autoencoder Using Infrared Imaging for Process Monitoring: An Application in Spinning Disk Processes. IEEE Trans. Instrum. Meas. 71: 1-12 (2022)
[c1]
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Yi Shan Lee, Junghui Chen:
Enhancing Monitoring Performance of Pharmaceutical Processes Using Dual-Attention Latent Dynamic Conditional State-Space Model. ASCC 2022: 227-232

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