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Probabilistic Knowledge Transfer for Deep Representation Learning., and . CoRR, (2018)Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data., , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 4 (6): 774-785 (2020)Heterogeneous Knowledge Distillation Using Information Flow Modeling., , and . CVPR, page 2336-2345. Computer Vision Foundation / IEEE, (2020)Multilayer Probabilistic Knowledge Transfer for Learning Image Representations., , and . ISCAS, page 1-5. IEEE, (2020)Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning., , and . EUSIPCO, page 1087-1091. IEEE, (2022)Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks., , , , , and . CBI (1), page 7-12. IEEE Computer Society, (2017)Time-series classification with an all-optical recurrent neuron., , , , , and . ECOC, page 1-4. IEEE, (2020)Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization., , , and . MLSP, page 1-6. IEEE, (2021)Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding., , , , , and . IEEE Trans. Inf. Forensics Secur., (2021)Leveraging Active Perception for Improving Embedding-based Deep Face Recognition., and . MMSP, page 1-6. IEEE, (2020)