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Year | Number of Results |
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2018 | 2 |
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Page 1
Recurrent Reconstructive Network for Sequential Anomaly Detection.
IEEE Trans Cybern. 2021 Mar;51(3):1704-1715. doi: 10.1109/TCYB.2019.2933548. Epub 2021 Feb 17.
IEEE Trans Cybern. 2021.
PMID: 31478884
User Preference-Based Dual-Memory Neural Model With Memory Consolidation Approach.
Nasir J, Yoo YH, Kim DH, Kim JH, Nasir J, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim, Nasir J, Yoo YH, Kim DH, Kim JH.
Nasir J, et al. Among authors: yong ho yoo, yoo yh.
IEEE Trans Neural Netw Learn Syst. 2018 Jun;29(6):2294-2308. doi: 10.1109/TNNLS.2017.2691260. Epub 2017 Apr 20.
IEEE Trans Neural Netw Learn Syst. 2018.
PMID: 28436904
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Convolutional Recurrent Reconstructive Network for Spatiotemporal Anomaly Detection in Solder Paste Inspection.
Yoo YH, Kim UH, Kim JH.
Yoo YH, et al.
IEEE Trans Cybern. 2022 Jun;52(6):4688-4700. doi: 10.1109/TCYB.2020.3033798. Epub 2022 Jun 16.
IEEE Trans Cybern. 2022.
PMID: 33232258
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Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots.
Park GM, Yoo YH, Kim DH, Kim JH, Gyeong-Moon Park, Yong-Ho Yoo, Deok-Hwa Kim, Jong-Hwan Kim, Yoo YH, Park GM, Kim JH, Kim DH.
Park GM, et al. Among authors: yong ho yoo, yoo yh.
IEEE Trans Cybern. 2018 Jun;48(6):1786-1799. doi: 10.1109/TCYB.2017.2715338. Epub 2017 Jun 26.
IEEE Trans Cybern. 2018.
PMID: 28650836
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