Computer Science
Anomaly Detection
100%
False Negative
60%
Generative Adversarial Networks
50%
Printed Circuit Board
39%
Critical Application
21%
False Positive Rate
17%
Machine Learning
15%
Reconstructed Image
15%
Generative Model
14%
Anomaly-Based Detection
14%
Performance Optimization
14%
Medical Domain
14%
Neural Network
14%
Industrial Sector
10%
Unsupervised Learning
9%
Data Availability
9%
Average Accuracy
8%
Industry 4.0
8%
Use Case
7%
Computer Vision
7%
True Positive Rate
7%
Control Domain
7%
Quality Requirement
7%
Cybersecurity
7%
INIS
detection
100%
images
72%
constraints
33%
datasets
30%
printed circuits
24%
applications
23%
losses
18%
performance
17%
optimization
17%
auc
17%
manufacturing
15%
learning
13%
metrics
11%
industry
10%
data
9%
machine learning
9%
accuracy
8%
vectors
8%
neural networks
7%
algorithms
6%
statistics
5%
range
5%
Keyphrases
Cycle-consistent Adversarial Network
14%
Detection Application
14%
Generative Adversarial Networks
14%
Printed Circuit Board Assembly
14%
Network Anomaly Detection
14%
Industrial Datasets
14%
Composite Score
14%
Performance Optimization
14%
Assembly Manufacturing
14%
ROC-AUC
14%
Abnormal Image
9%
Industrial Domain
7%
Medical Domain
7%
Rate Optimization
7%
Wilcoxon-Mann-Whitney Test
7%
Partial AUC
7%
Industrial Image Processing
7%
Imaging Algorithm
7%
Inference Step
7%
Industry 4.0 (I4.0)
7%
Advanced Machine Learning
7%
Image Complexity
7%
MVTec AD
7%
Control Domain
7%
Fourth Revolution
7%
Learning Achievement
7%
Time Waste
7%
Highly Imbalanced Dataset
7%
Cybersecurity Dataset
7%