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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

temporal recurrent neural network approach

biblio

Visible to the public 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

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