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1,671 results on '"Guo, Yanan"'

57. Enhanced Memory Adversarial Network for Anomaly Detection

Author

Liu, Yangfan, Guo, Yanan, Du, Kangning, Cao, Lin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jia, Wei, editor, Kang, Wenxiong, editor, Pan, Zaiyu, editor, Ben, Xianye, editor, Bian, Zhengfu, editor, Yu, Shiqi, editor, He, Zhaofeng, editor, and Wang, Jun, editor

Published
2023
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58. Cross-Modal Attention Mechanism for Weakly Supervised Video Anomaly Detection

Author

Sun, Wenwen, Cao, Lin, Guo, Yanan, Du, Kangning, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Jia, Wei, editor, Kang, Wenxiong, editor, Pan, Zaiyu, editor, Ben, Xianye, editor, Bian, Zhengfu, editor, Yu, Shiqi, editor, He, Zhaofeng, editor, and Wang, Jun, editor

Published
2023
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59. An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs

Author

Guo, Yanan, Cao, Xiaoqun, Peng, Kecheng, Dong, Wei, Tian, Wenlong, Zhou, Mengge, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Iliadis, Lazaros, editor, Papaleonidas, Antonios, editor, Angelov, Plamen, editor, and Jayne, Chrisina, editor

Published
2023
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60. Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning

Author

Guo, Yanan, Cao, Xiaoqun, Peng, Kecheng, Tian, Wenlong, Zhou, Mengge, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Premaratne, Prashan, editor, Jin, Baohua, editor, Qu, Boyang, editor, Jo, Kang-Hyun, editor, and Hussain, Abir, editor

Published
2023
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79. Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data

Author

Zhang, Zixing, Han, Jing, Qian, Kun, Janott, Christoph, Guo, Yanan, and Schuller, Bjoern

Subjects
Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

One of the frontier issues that severely hamper the development of automatic snore sound classification (ASSC) associates to the lack of sufficient supervised training data. To cope with this problem, we propose a novel data augmentation approach based on semi-supervised conditional Generative Adversarial Networks (scGANs), which aims to automatically learn a mapping strategy from a random noise space to original data distribution. The proposed approach has the capability of well synthesizing 'realistic' high-dimensional data, while requiring no additional annotation process. To handle the mode collapse problem of GANs, we further introduce an ensemble strategy to enhance the diversity of the generated data. The systematic experiments conducted on a widely used Munich-Passau snore sound corpus demonstrate that the scGANs-based systems can remarkably outperform other classic data augmentation systems, and are also competitive to other recently reported systems for ASSC., Comment: accepted by IEEE JBHI

Published
2019

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