Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2210.05674
Cited By
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine
11 October 2022
A. Pollastro
Giusiana Testa
A. Bilotta
R. Prevete
DRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine"
2 / 2 papers shown
Title
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder
A. Pollastro
Francesco Isgrò
R. Prevete
42
2
0
25 Jun 2024
Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders
Ishan D. Khurjekar
J. Harley
AAML
24
10
0
26 Jan 2022
1