机构

• 计算技术研究所 [24]
• 自动化研究所 [3]
• 高能物理研究所 [2]
• 上海硅酸盐研究所 [2]
• 金属研究所 [1]
• 化学研究所 [1]
• 更多

采集方式

• OAI收割 [38]
• iSwitch采集 [2]

内容类型

• 期刊论文 [38]
• 会议论文 [2]

发表日期

• 2025 [1]
• 2024 [3]
• 2023 [8]
• 2022 [4]
• 2021 [6]
• 2020 [1]
• 更多

学科主题

• 生物材料 [1]

筛选

浏览/检索结果: 共40条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 SPMGAE: Self-purified masked graph autoencoders release robust expression power 期刊论文  OAI收割 NEUROCOMPUTING, 2025, 卷号: 611, 页码: 14 作者:  Song, Shuhan;  Li, Ping;  Dun, Ming;  Zhang, Yuan;  Cao, Huawei   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Graph neural networks  Masked graph autoencoders  Robustness  Graph adversarial attacks   Cross-ancestry genome-wide association studies of brain imaging phenotypes 期刊论文  OAI收割 NATURE GENETICS, 2024, 页码: 31 作者:  Fu, Jilian;  Zhang, Quan;  Wang, Jianhua;  Wang, Meiyun;  Zhang, Bing   |  收藏  |  浏览/下载：24/0  |  提交时间：2024/06/29 CRISPR/Cas9-mediated mutation of FERULATE 5-HYDROXYLASE enhances adsorption capacity of lignocellulose-based porous carbon from paper mulberry 期刊论文  OAI收割 HORTICULTURE RESEARCH, 2024, 卷号: 11, 期号: 6 作者:  Xu, Yue;  Cao, Yingping;  Zhang, Wanju;  Kong, Wen;  Li, Rui   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/11/27 INformer: Inertial-Based Fusion Transformer for Camera Shake Deblurring 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 6045-6056 作者:  Ren, Wenqi;  Wu, Linrui;  Yan, Yanyang;  Xu, Shengyao;  Huang, Feng   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Camera shake deblurring  inertial measurement units  deformable attention  Camera shake deblurring  inertial measurement units  deformable attention   Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511 作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/20 Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning   AUC-Oriented Domain Adaptation: From Theory to Algorithm 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14161-14174 作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  Wen, Peisong;  He, Yuan   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20 AUC-oriented Learning  domain adaptation  machine learning   Positive-Unlabeled Learning With Label Distribution Alignment 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15345-15363 作者:  Jiang, Yangbangyan;  Xu, Qianqian;  Zhao, Yunrui;  Yang, Zhiyong;  Wen, Peisong   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20 Estimation  Stochastic processes  Optimization  Computer science  Predictive models  Information processing  Fasteners  Positive-unlabeled learning  weakly supervised learning  binary classification   Optimizing Two-Way Partial AUC With an End-to-End Framework 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 10228-10246 作者:  Yang, Zhiyong;  Xu, Qianqian;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04 AUC Optimization  machine learning  partial AUC   Effect of an Herbal-Based Injection on 28-Day Mortality in Patients With Sepsis The EXIT-SEP Randomized Clinical Trial 期刊论文  OAI收割 JAMA INTERNAL MEDICINE, 2023, 卷号: 183, 期号: 7, 页码: 647-655 作者:  Liu, Songqiao;  Yao, Chen;  Xie, Jianfeng;  Liu, Hong;  Wang, Hongliang   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/03/27 Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685 作者:  Xu, Qianqian;  Yang, Zhiyong;  Zhao, Yunrui;  Cao, Xiaochun;  Huang, Qingming   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/12/04 Data models  Training data  Training  Deep learning  Predictive models  Testing  Optimization  Label flipping attack  machine learning