中国科学院计算技术研究所机构知识库

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限定条件	收录类别：SCI    发表日期：2021    语种：英语

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Interactive Anomaly Detection in Dynamic Communication Networks 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2021, 卷号: 29, 期号: 6, 页码: 2602-2615 作者:  Meng, Xuying;  Wang, Yequan;  Wang, Suhang;  Yao, Di;  Zhang, Yujun 收藏  |  浏览/下载：25/0  |  提交时间：2022/06/21 Anomaly detection  Communication networks  Feature extraction  Estimation  Adaptation models  Internet  Task analysis  Anomaly detection  interactive learning  dynamic networks  communication networks  semi-parametric bandits
	Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 11, 页码: 4094-4110 作者:  Yang, Zhiyong;  Xu, Qianqian;  Cao, Xiaochun;  Huang, Qingming 收藏  |  浏览/下载：48/0  |  提交时间：2021/12/01 Task analysis  Convergence  Predictive models  Diseases  Collaborative work  Optimization  Training  Block diagonal structural learning  negative transfer  multi-task learning  global convergence
	Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks 期刊论文 BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: 1, 页码: 17 作者:  Yang, Yingxi;  Wang, Hui;  Li, Wen;  Wang, Xiaobo;  Wei, Shizhao;  Liu, Yulong;  Xu, Yan 收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01 Post-translational modification  Deep learning  Generative adversarial networks  Random forest
	FangNet: Mining herb hidden knowledge from TCM clinical effective formulas using structure network algorithm 期刊论文 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 62-71 作者:  Bu, Dechao;  Xia, Yan;  Zhang, JiaYuan;  Cao, Wanchen;  Huo, Peipei;  Wang, Zhihao;  He, Zihao;  Ding, Linyi;  Wu, Yang;  Zhang, Shan;  Gao, Kai;  Yu, He;  Liu, Tiegang;  Ding, Xia;  Gu, Xiaohong;  Zhao, Yi 收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01 Formulas  Herb  Symptom  TCM
	DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis 期刊论文 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 2719-2725 作者:  Zhao, Lianhe;  Dong, Qiongye;  Luo, Chunlong;  Wu, Yang;  Bu, Dechao;  Qi, Xiaoning;  Luo, Yufan;  Zhao, Yi 收藏  |  浏览/下载：44/0  |  提交时间：2021/12/01 Multi-omics  Deep learning  Survival analysis  Prognosis prediction  Interpretable model