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Scalable and Decentralized Algorithms for Anomaly Detection via
  Learning-Based Controlled Sensing

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing

8 December 2021
Geethu Joseph
Chen Zhong
M. C. Gursoy
Senem Velipasalar
P. Varshney
ArXivPDFHTML

Papers citing "Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing"

3 / 3 papers shown
Title
Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution
  Approach
Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach
George Stamatelis
Angelos-Nikolaos Kanatas
Ioannis Asprogerakas
G. C. Alexandropoulos
26
1
0
15 Mar 2024
Anomaly Detection via Learning-Based Sequential Controlled Sensing
Anomaly Detection via Learning-Based Sequential Controlled Sensing
Geethu Joseph
Chen Zhong
M. C. Gursoy
Senem Velipasalar
Pramod K. Varshney
21
1
0
30 Nov 2023
Active hypothesis testing in unknown environments using recurrent neural
  networks and model free reinforcement learning
Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning
George Stamatelis
N. Kalouptsidis
24
2
0
19 Mar 2023
1