ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.12345
  4. Cited By
A Novel Measure to Evaluate Generative Adversarial Networks Based on
  Direct Analysis of Generated Images
v1v2v3v4 (latest)

A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images

27 February 2020
Shuyue Guan
Murray H. Loew
    EGVM
ArXiv (abs)PDFHTML

Papers citing "A Novel Measure to Evaluate Generative Adversarial Networks Based on Direct Analysis of Generated Images"

4 / 4 papers shown
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural
  Health Monitoring and Damage Detection
CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage DetectionMechanical systems and signal processing (MSSP), 2022
Furkan Luleci
F. Catbas
Onur Avcı
AI4CE
307
74
0
16 Feb 2022
Generative Adversarial Networks for Labeled Acceleration Data
  Augmentation for Structural Damage Detection
Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage DetectionJournal of Civil Structural Health Monitoring (JCSHM), 2021
Furkan Luleci
F. Catbas
Onur Avcı
314
72
0
07 Dec 2021
Generative Adversarial Networks for Data Generation in Structural Health
  Monitoring
Generative Adversarial Networks for Data Generation in Structural Health MonitoringFrontiers in Built Environment (Front. Built Environ.), 2021
Furkan Luleci
F. Catbas
Onur Avcı
200
24
0
07 Dec 2021
A Novel Intrinsic Measure of Data Separability
A Novel Intrinsic Measure of Data Separability
Shuyue Guan
Murray H. Loew
247
24
0
11 Sep 2021
1
Page 1 of 1