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A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载:58/17  |  提交时间:2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
ASCL: Adversarial supervised contrastive learning for defense against word substitution attacks 期刊论文
NEUROCOMPUTING, 2022, 卷号: 510, 页码: 59-68
作者:  Shi, Jiahui;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1054Kb)  |  收藏  |  浏览/下载:274/33  |  提交时间:2022/11/14
Adversarial example  Adversarial training  Model robustness  Contrastive learning  Natural language processing  
Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk 期刊论文
TRANSLATIONAL LUNG CANCER RESEARCH, 2022, 页码: 23
作者:  He, Bing-Xi;  Zhong, Yi-Fan;  Zhu, Yong-Bei;  Deng, Jia-Jun;  Fang, Meng-Jie;  She, Yun-Lang;  Wang, Ting-Ting;  Yang, Yang;  Sun, Xi-Wen;  Belluomini, Lorenzo;  Watanabe, Satoshi;  Dong, Di;  Tian, Jie;  Xie, Dong
Adobe PDF(3742Kb)  |  收藏  |  浏览/下载:369/46  |  提交时间:2022/06/10
Tumor biomarkers  immunotherapy  lung neoplasms  programmed cell death 1 receptor (PD-1 receptor)  biostatistics  
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 229, 页码: 11
作者:  Liu, Bo;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载:381/80  |  提交时间:2021/11/04
Zero-shot learning  Visual-semantic embedding  Out-of-distribution detection  
SRGCN: Graph-based multi-hop reasoning on knowledge graphs 期刊论文
Neurocomputing, 2021, 卷号: 454, 期号: 454, 页码: 280-290
作者:  Wang, Zikang;  Li, Linjing;  Zeng, Daniel
Adobe PDF(1540Kb)  |  收藏  |  浏览/下载:240/69  |  提交时间:2021/05/31
knowledge graph  multi-hop reasoning  graph convolutional network  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载:427/65  |  提交时间:2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)