Robust anomaly detection and regularized domain adaptation of classifiers with application to internet packet-flows

• 1. 域自适应中基于二分类器检测目标域相似类的方法 [P] . 中国专利： CN111832640A . 2020-10-27
• 2. 基于多模态划分的宽域飞行鲁棒自适应切换控制方法 [P] . 中国专利： CN113093539A . 2021-07-09
• 3. ROBUST ANOMALY DETECTION AND REGULARIZED DOMAIN ADAPTATION OF CLASSIFIERS WITH APPLICATION TO INTERNET PACKET-FLOWS [P] . 世界知识产权组织专利： WO2012154657A3 . 2013-01-24

  机译： 分类器的鲁棒异常检测和规则化域自适应在互联网数据包流中的应用

• 4. ROBUST ANOMALY DETECTION AND REGULARIZED DOMAIN ADAPTATION OF CLASSIFIERS WITH APPLICATION TO INTERNET PACKET-FLOWS [P] . 世界知识产权组织专利： WO2012154657A2 . 2012-11-15

  机译： 分类器的鲁棒异常检测和规则化域自适应在互联网数据包流中的应用

• 5. ROBUST ANOMALY DETECTION AND REGULARIZED DOMAIN ADAPTATION OF CLASSIFIERS WITH APPLICATION TO INTERNET PACKET-FLOWS [P] . 美国专利： US2012284791A1 . 2012-11-08

  机译： 分类器的鲁棒异常检测和规则域自适应在互联网数据包流中的应用

• 1. Comparison and Adaptation of Two Strategies for Anomaly Detection in Load Profiles Based on Methods from the Fields of Machine Learning and Statistics [J] . Patrick Krawiec, Mark Junge, Jens Hesselbach 能源效率（英文） . 2021,第002期
• 2. TCP-friendly source adaptation for multimedia applications over the Internet [J] . CHEN Cheng, LI Zheng-guo, SOH Yeng-chai 浙江大学学报（英文版）（A辑：应用物理和工程） . 2006,第0z1期
• 3. Application on Anomaly Detection of Geoelectric Field Based on Deep Learning [J] . WEI Lei, AN Zhanghui, FAN Yingying, 中国地震研究（英文版） . 2020,第003期
• 4. Stacked Robust Adaptively Regularized Auto-Regressions for Domain Adaptation [J] . Jiang Wenhao, Gao Hongchang, Lu Wei, IEEE Transactions on Knowledge and Data Engineering . 2019,第3期
• 5. Cardiac anomaly detection based on time and frequency domain features using tree-based classifiers [J] . M Kropf, D Hayn, D Morris, Physiological measurement . 2018,第11期
• 6. Iterative Boolean combination of classifiers in the ROC space:An application to anomaly detection with HMMs [J] . Wael Khreich, Eric Granger, Ali Miri, Pattern Recognition: The Journal of the Pattern Recognition Society . 2010,第8期
• 7. Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection [C] . Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, SIAM International Conference on Data Mining . 2019
• 8. Robust ensemble classifiers and their applications to landmine detection. [D] . Sun, Yijun. 2004
• 9. C2DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation [O] . Han Sun, Xinyi Chen, Ling Wang, 2020
• 10. Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection [O] . Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, 2019
• 11. Novel Anomaly Detection Scheme Based on Principal Component Classifier [R] . Shyu, M. , Chen, S. , Sarinnapakorn, K. , 2003

• 1. A Review of Anomaly Detection Systems in Cloud Networks and Survey of Cloud Security Measures in Cloud Storage Applications [J] . Arif Sari . 信息安全（英文） . 2015,第2期
• 2. Image and Feature Space Based Domain Adaptation for Vehicle Detection [J] . Ying Tian ,Libing Wang ,Hexin Gu . 计算机、材料和连续体(英文) . 2020,第12期
• 3. 鲁棒自适应前馈控制器及其在间歇式余热锅炉给水系统中的应用 [C] . 柴天佑 . 中国自动化学会第三届全国学术年会 . 1991
• 4. 基于鲁棒稀疏编码和堆栈鲁棒稀疏自编码器的异常检测 [A] . 刘亚杰 . 2020