Clustering-and-Bagging-based Ensemble for Novelty Detection in Passive Sonar Systems.
Eduardo Sperle HonoratoJoão Baptista de Oliveira e Souza FilhoVictor Hugo da Silva MunizPublished in: LA-CCI (2022)
Keyphrases
- novelty detection
- ensemble methods
- ensemble learning
- random forests
- anomaly detection
- ensemble selection
- k means
- learning algorithm
- mobile robot
- unsupervised learning
- clustering algorithm
- pairwise
- random forest
- concept drift
- machine learning
- classifier ensemble
- base classifiers
- feature selection
- imbalanced data
- ensemble classification
- neural network