Anomaly Detection with Score Distribution Discrimination-Reference-Cited by-同舟云学术

Anomaly Detection with Score Distribution Discrimination

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Jiang Minqi¹^ORCID,Han Songqiao¹^ORCID,Huang Hailiang¹^ORCID

Affiliation:

1. Shanghai University of Finance and Economics, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599258

Reference75 articles.

1. Kjersti Aas , Claudia Czado , Arnoldo Frigessi , and Henrik Bakken . 2009. Pair-copula constructions of multiple dependence. Insurance: Mathematics and economics , Vol. 44 , 2 ( 2009 ), 182--198. Kjersti Aas, Claudia Czado, Arnoldo Frigessi, and Henrik Bakken. 2009. Pair-copula constructions of multiple dependence. Insurance: Mathematics and economics, Vol. 44, 2 (2009), 182--198.

2. Charu C Aggarwal . 2017. An introduction to outlier analysis . In Outlier analysis . Springer , 1--34. Charu C Aggarwal. 2017. An introduction to outlier analysis. In Outlier analysis. Springer, 1--34.

3. Samet Akcay , Amir Atapour-Abarghouei , and Toby P Breckon . 2018 . Ganomaly: Semi-supervised anomaly detection via adversarial training . In Asian conference on computer vision. Springer, 622--637 . Samet Akcay, Amir Atapour-Abarghouei, and Toby P Breckon. 2018. Ganomaly: Semi-supervised anomaly detection via adversarial training. In Asian conference on computer vision. Springer, 622--637.

4. Samet Akcc ay, Amir Atapour-Abarghouei , and Toby P Breckon . 2019 . Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection . In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 1--8. Samet Akcc ay, Amir Atapour-Abarghouei, and Toby P Breckon. 2019. Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection. In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 1--8.

5. Memory Aware Synapses: Learning What (not) to Forget

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unraveling the ‘Anomaly’ in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Weakly Supervised Anomaly Detection via Knowledge-Data Alignment;Proceedings of the ACM Web Conference 2024;2024-05-13

3. Understanding Integrity of Time Series IoT Datasets through Local Outlier Detection with Steep Peak and Valley;Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City;2023-12-14

4. Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04