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Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals.

, , , , , и . IJCNN, стр. 1-8. IEEE, (2019)

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Gu Li

Xuewu Gu

Wei Gu

Xiaogang Gu

Hyosong Gu

 

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Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network., , , , и . ICPR, стр. 8862-8869. IEEE, (2020)Suspect Region Extraction Method for Line Corridor Smoke Foreground Separation., , , и . ICCAI, стр. 682-688. ACM, (2022)DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation., , , , , и . ICCV, стр. 3928-3937. IEEE, (2019)Monitoring and forecasting the dynamic evolution of Beijing wetland from 1978 to 2005., , , , , и . ICNC, стр. 2390-2394. IEEE, (2010)Influence of the Research-Oriented President's Competency on Research Performance in University of China - Based on the Results of Empirical Research., , , и . ISSI, Bogaziçi University Printhouse, (2015)Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals., , , , , и . IJCNN, стр. 1-8. IEEE, (2019)Adversarial Distillation of Bayesian Neural Network Posteriors., , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 5177-5186. PMLR, (2018)MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning., , , , , и . CVPR, стр. 14146-14155. IEEE, (2022)Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts., , , , , и . NeurIPS, (2022)LISP-TBCNN: An AutoCAD Malware Detection Approach., , , , , и . DSC, стр. 353-359. IEEE, (2022)