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Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.

J. Yun, J. Kim, W. Hwang, Y. Kim, S. Woo, and B. Min. SAC, page 87-96. ACM, (2022)

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Young Geun Cho

Boo Geun Kim

Young Kim

Other publications of authors with the same name

Lipschitz Continuous Autoencoders in Application to Anomaly Detection.Y. geun Kim, Y. Kwon, H. Chang, and M. Paik. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2507-2517. PMLR, (2020)Stateful In-Memory Logic System and Its Practical Implementation in a TaO x -Based Bipolar-Type Memristive Crossbar Array.Y. Kim, M. Son, H. Song, J. Park, J. An, J. Jeon, G. Kim, S. Son, and K. Kim. Adv. Intell. Syst., 2 (3): 1900156 (2020)Revitalizing Self-Organizing Map: Anomaly Detection Using Forecasting Error Patterns.Y. Kim, J. Yun, S. Han, H. Kim, and S. Woo. SEC, volume 625 of IFIP Advances in Information and Communication Technology, page 382-397. Springer, (2021)Kernel-convoluted Deep Neural Networks with Data Augmentation.M. Kim, Y. geun Kim, D. Kim, Y. Kim, and M. Paik. AAAI, page 8155-8162. AAAI Press, (2021)FedGPO: Heterogeneity-Aware Global Parameter optimization for Efficient Federated Learning.Y. Kim, and C. Wu. IISWC, page 117-129. IEEE, (2022)AMBITION: Ambient Temperature Aware VM Allocation for Edge Data Centers.S. Choi, S. Kim, Y. Kim, J. Kong, and S. Chung. IEEE Access, (2023)Chasing Carbon: The Elusive Environmental Footprint of Computing.U. Gupta, Y. Kim, S. Lee, J. Tse, H. Lee, G. Wei, D. Brooks, and C. Wu. IEEE Micro, 42 (4): 37-47 (2022)Kernel-convoluted Deep Neural Networks with Data Augmentation.M. Kim, Y. geun Kim, D. Kim, Y. Kim, and M. Paik. CoRR, (2020)Chasing Carbon: The Elusive Environmental Footprint of Computing.U. Gupta, Y. Kim, S. Lee, J. Tse, H. Lee, G. Wei, D. Brooks, and C. Wu. HPCA, page 854-867. IEEE, (2021)FTTH Deployment Status & Strategy in Korea: GW-PON Based FTTH Field Trial and Reach Extension Strategy of FTTH in Korea.J. Park, G. Kim, H. Park, and J. Kim. GLOBECOM, page 5615-5617. IEEE, (2008)

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Disambiguation of "Kim, Young Geun"

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Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.

Please choose a person to relate this publication to

Young Geun Cho

Boo Geun Kim

Young Kim

Young Kim

Young Kim

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kim, Young Geun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.

Please choose a person to relate this publication to

Young Geun Cho

Boo Geun Kim

Young Kim

Young Kim

Young Kim

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Residual size is not enough for anomaly detection: improving detection performance using residual similarity in multivariate time series.