CASIA OpenIR

浏览/检索结果: 共20条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
BARN: Behavior-Aware Relation Network for multi-label behavior detection in socially housed macaques 期刊论文
ZOOLOGICAL RESEARCH, 2023, 卷号: 44, 期号: 6, 页码: 1026-1038
作者:  Yang, Sen;  Chen, Zhi-Yuan;  Liang, Ke-Wei;  Qin, Cai-Jie;  Yang, Yang;  Fan, Wen-Xuan;  Jie, Chen-Lu;  Ma, Xi-Bo
收藏  |  浏览/下载:21/0  |  提交时间:2024/02/22
Macaque behavior  Drug safety  assessment  Multi-label behavior detection  Behavioral  similarity  Relation network  
Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting 期刊论文
DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 卷号: 9, 期号: 5, 页码: 1221-1229
作者:  Zhang, Weishan;  Chen, Xiao;  He, Ke;  Chen, Leiming;  Xu, Liang;  Wang, Xiao;  Yang, Su
收藏  |  浏览/下载:28/0  |  提交时间:2024/02/22
Photovoltaic power forecasting  Federated learning  Edge computing  CNN-LSTM  
Many-body Hilbert space scarring on a superconducting processor 期刊论文
NATURE PHYSICS, 2022, 页码: 9
作者:  Zhang, Pengfei;  Dong, Hang;  Gao, Yu;  Zhao, Liangtian;  Hao, Jie;  Desaules, Jean-Yves;  Guo, Qiujiang;  Chen, Jiachen;  Deng, Jinfeng;  Liu, Bobo;  Ren, Wenhui;  Yao, Yunyan;  Zhang, Xu;  Xu, Shibo;  Wang, Ke;  Jin, Feitong;  Zhu, Xuhao;  Zhang, Bing;  Li, Hekang;  Song, Chao;  Wang, Zhen;  Liu, Fangli;  Papic, Zlatko;  Ying, Lei;  Wang, H.;  Lai, Ying-Cheng
收藏  |  浏览/下载:236/0  |  提交时间:2022/11/14
Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients 期刊论文
FRONTIERS IN AGING NEUROSCIENCE, 2022, 卷号: 14, 页码: 11
作者:  Huang, Jiayuan;  Ke, Pengfei;  Chen, Xiaoyi;  Li, Shijia;  Zhou, Jing;  Xiong, Dongsheng;  Huang, Yuanyuan;  Li, Hehua;  Ning, Yuping;  Duan, Xujun;  Li, Xiaobo;  Zhang, Wensheng;  Wu, Fengchun;  Wu, Kai
收藏  |  浏览/下载:173/0  |  提交时间:2022/06/10
schizophrenia  accelerated brain aging  brain age gap  multimodal magnetic resonance imaging  machine learning  
Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data 期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 3, 页码: 916-930
作者:  Li, Ao;  Chen, Jiajia;  Chen, Deyun;  Yu, Xiaoyang;  Yuan, Mengke;  Xu, Shibiao;  Sun, Guanglu
收藏  |  浏览/下载:170/0  |  提交时间:2021/11/03
Tensors  Matrix decomposition  Adaptation models  Data models  Probabilistic logic  Learning systems  Image reconstruction  Low-rank approximation  multiview clustering  similarity learning  tensor analysis  
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Zhang, Dai;  Wu, Huawang;  Ning, Yuping;  Jiang, Tianzi;  Liu, Bing
收藏  |  浏览/下载:186/0  |  提交时间:2021/12/28
Schizophrenia  Classification  Structural magnetic resonance imaging  Gray matter volume  Polygenic risk score  Machine learning  
Application of Horseradish Peroxidase Labeling Along With Post-Staining Improves Data Quality in Micro-Brain Connectomics 期刊论文
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2020, 卷号: 47, 期号: 10, 页码: 1090-1096
作者:  Wang Sheng-Xiong;  Chen Zhen-Qiang;  Han Hua;  Guo Ai-Ke
收藏  |  浏览/下载:138/0  |  提交时间:2021/01/06
brain connectomics  volume electron microscopy  sample preparation  
Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning 期刊论文
MODERN PHYSICS LETTERS A, 2020, 卷号: 35, 期号: 26, 页码: 14
作者:  Lei, Ying-Ke;  Liu, Chun;  Chen, Zhiqiang
收藏  |  浏览/下载:136/0  |  提交时间:2021/01/07
Neutrino mass  supersymmetry  phenomenology  CP violation  
Semantic-spatial fusion network for human parsing 期刊论文
NEUROCOMPUTING, 2020, 卷号: 91, 期号: 402, 页码: 375-383
作者:  Zhang, Xiaomei;  Chen, Yingying;  Zhu, Bingke;  Wang, Jinqiao;  Tang, Ming
Adobe PDF(2060Kb)  |  收藏  |  浏览/下载:278/38  |  提交时间:2020/07/20
SSFNet  Semantic modulation model  Resolution-aware model  Human parsing  
Pixelwise Deep Sequence Learning for Moving Object Detection 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2567-2579
作者:  Chen, Yingying;  Wang, Jinqiao;  Zhu, Bingke;  Tang, Ming;  Lu, Hanqing
收藏  |  浏览/下载:244/0  |  提交时间:2019/12/16
Moving object detection  background modeling  moving object proposal  convolutional neural networks