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Unsupervised Anomaly Detection by Autoencoder with Feature Decomposition.

, , , and . ICMLC, page 258-265. ACM, (2022)

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Improving Convolutional Neural Network Using Pseudo Derivative ReLU., , and . ICSAI, page 283-287. IEEE, (2018)DA-MTAD: Capturing Intra- and Inter-Metric Dependencies for Multivariate Time Series Anomaly Detection., , , and . SMC, page 2660-2666. IEEE, (2023)MindFI: A Fault Injection Tool for Reliability Assessment of MindSpore Applicacions., , , and . ISSRE Workshops, page 235-238. IEEE, (2021)Parametric Modeling and Simulation of the Gear Shaping Process of Floating Support Friction Disk., , , , , and . ICCMS, page 203-208. ACM, (2020)A novel model for tourism demand forecasting with spatial-temporal feature enhancement and image-driven method., , , , , and . Neurocomputing, (November 2023)Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan., , , , and . ISPRS Int. J. Geo Inf., 8 (2): 74 (2019)A graph-attention based spatial-temporal learning framework for tourism demand forecasting., , , , , , and . Knowl. Based Syst., (March 2023)An Effective 3D Indoor Localization Approach Based on Fingerprint Fusion Positioning., , , and . ICCAIS, page 892-897. IEEE, (2021)Adaptive Retraining for Neural Network Robustness in Classification., , , and . IJCNN, page 1-8. IEEE, (2021)Discovering Transportation Mode of Tourists Using Low-Sampling-Rate Trajectory of Cellular Data., , , , and . ICSAI, page 1120-1125. IEEE, (2018)