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Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN., , и . PAKDD (3), том 11441 из Lecture Notes in Computer Science, стр. 387-399. Springer, (2019)Improving load forecasting based on deep learning and K-shape clustering., , , , и . IJCNN, стр. 4134-4141. IEEE, (2017)CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection., , и . ICC, стр. 1610-1614. IEEE, (2008)Pattern based anomalous user detection in cognitive radio networks., , и . ICASSP, стр. 5605-5609. IEEE, (2015)Parking availability prediction for sensor-enabled car parks in smart cities., , и . ISSNIP, стр. 1-6. IEEE, (2015)Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection., , , , и . NSS, том 13787 из Lecture Notes in Computer Science, стр. 105-119. Springer, (2022)Quantum Autoencoder Frameworks for Network Anomaly Detection., , и . ICONIP (5), том 14451 из Lecture Notes in Computer Science, стр. 69-82. Springer, (2023)Double Attention-Based Lightweight Network for Plant Pest Recognition., , , и . ICONIP (6), том 1793 из Communications in Computer and Information Science, стр. 598-611. Springer, (2022)Breast Cancer Recurrence Prediction Using Random Forest Model., , , , и . SCDM, том 700 из Advances in Intelligent Systems and Computing, стр. 318-329. Springer, (2018)Combined multiclass classification and anomaly detection for large-scale Wireless Sensor Networks., , и . ISSNIP, стр. 491-496. IEEE, (2013)