Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

maximum dense subtensor mining

biblio

Visible to the public Detecting group shilling attacks in recommender systems based on maximum dense subtensor mining

Submitted by grigby1 on Fri, 07/15/2022 - 12:22pm
  • feature extraction
  • pubcrawl
  • Human behavior
  • resilience
  • Resiliency
  • Conferences
  • Scalability
  • Data models
  • Time series analysis
  • recommender systems
  • Fuses
  • Knowledge engineering
  • tensors
  • group shilling attacks
  • dual-input convolutional neural network
  • maximum dense subtensor mining

Terms of Use  |  ©2023. CPS-VO