INIS
data
100%
learning
74%
detection
69%
neural networks
58%
defects
56%
datasets
55%
infrared thermography
37%
evaluation
37%
comparative evaluations
30%
units
28%
hybrids
28%
mortality
28%
risks
28%
biometrics
28%
Computer Science
Anomaly Detection
58%
Spatiotemporal Deep Neural Network
56%
Identification
56%
Representation Learning
56%
Subject Variability
44%
Infrared Thermography
42%
Evaluation
37%
Self-Supervised Learning
28%
Evaluation
28%
Cultural Heritage
28%
Conventional Algorithm
28%
Mock-up
28%
Biometric Identification
28%
Radial Basis Function
28%
Keyphrases
Defect Reconstruction
28%
Learning Identification
28%
Thermal Defect
28%
Hybrid Forecasting Model
28%
Early Mortality
28%
Highly Imbalanced Dataset
28%
Anomaly Evaluation
28%
Time Series Anomaly Detection
28%
