N-SLOPE: A One-Class Classification Ensemble for Nuclear Forensics.
Justin KehlLubomir StanchevPublished in: AIKE (2018)
Keyphrases
- ensemble learning
- novelty detection
- ensemble methods
- imbalanced data
- classifier ensemble
- united states
- neural network
- multiple classifiers
- digital forensics
- random forests
- base classifiers
- learning algorithm
- final classification
- random forest
- supervised learning
- training set
- training data
- density estimation
- regression problems
- machine learning algorithms
- image analysis
- single class
- feature selection
- supervised and unsupervised learning
- forgery detection
- soil moisture
- nuclear power