Online Detection of Cascading Change-Points Using Diffusion Networks-Reference-Cited by-同舟云学术

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Online Detection of Cascading Change-Points Using Diffusion Networks

Published:2022-09-27 Issue: Volume: Page:
ISSN:
Container-title:2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
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Author:

Zhang Rui¹,Xie Yao²,Yao Rui³,Qiu Feng⁴

Affiliation:

1. Morgan Stanley

2. H. Milton Stewart School of Industrial and Systems Engineering

3. Google

4. Argonne National Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9929313/9929314/09929381.pdf?arnumber=9929381

Reference23 articles.

1. Uncovering the temporal dynamics of diffusion networks;gomez-rodriguez;International Conference on Machine Learning,0

2. Efficient Cipher-Only Attack of a Stream Cipher in RDHEI Based on Pixel Smoothness Estimation

3. Quickest detection of a change process across a sensor array;raghavan;2008 11th International Conference on Information Fusion FUSION,2008

4. Multi-sensor sequential change detection with unknown change propagation pattern;kurt;IEEE Transactions on Aerospace and Electronic Systems,2018

Cited by 3 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. Quickest Inference of Susceptible-Infected Cascades in Sparse Networks;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25

2. Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples;IEEE Transactions on Signal Processing;2023

3. Optimal Parallel Sequential Change Detection Under Generalized Performance Measures;IEEE Transactions on Signal Processing;2022

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