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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
text sequence dependency
biblio
A Temporal Recurrent Neural Network Approach to Detecting Market Anomaly Attacks
Submitted by grigby1 on Fri, 05/08/2020 - 3:02pm
recurrent neural nets
U.S. technology companies
Twitter
TRNN
text sequence dependency
temporal recurrent neural network approach
stock markets
social networking (online)
Social network services
social media
Sequence Prediction
security of data
Resiliency
resilience
Recurrent neural networks
recurrent neural network
Anomaly Detection
pubcrawl
policy-based governance
Neural Network Security
Metrics
market anomaly attacks detection
learning (artificial intelligence)
financial stocks markets
financial social media messages
financial market security
feature extraction
deep learning approaches
commodities markets
collaboration
Cognitive Hacking
Artificial Neural Networks
