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Applied Artificial Intelligence

An International Journal

Volume 36, 2022 - Issue 1

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Research Article

Variational Autoencoder for Classification and Regression for Out-of-Distribution Detection in Learning-Enabled Cyber-Physical Systems

Feiyang CaiInstitute for Software Integrated Systems, Vanderbilt University, Nashville, TN, USACorrespondence[email protected]
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Ali I. OzdagliInstitute for Software Integrated Systems, Vanderbilt University, Nashville, TN, USAView further author information

Xenofon KoutsoukosInstitute for Software Integrated Systems, Vanderbilt University, Nashville, TN, USAView further author information

Article: 2131056 | Received 30 Jun 2022, Accepted 19 Sep 2022, Published online: 13 Oct 2022

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https://doi.org/10.1080/08839514.2022.2131056
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Citations (2)

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Articles from other publishers (2)

Hugo Wai Leung Mak, Runze Han & Hoover H. F. Yin. (2023) Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design. Sensors 23:7, pages 3457.
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Siyu Luan, Zonghua Gu, Amin Saremi, Leonid Freidovich, Lili Jiang & Shaohua Wan. (2023) Timing Performance Benchmarking of Out-of-Distribution Detection Algorithms. Journal of Signal Processing Systems.
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