From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders.
Max LübberingRajkumar RamamurthyMichael GebauerThiago BellRafet SifaChristian BauckhagePublished in: ICANN (1) (2020)
Keyphrases
- outlier detection
- credit card fraud detection
- density estimation
- supervised learning
- binary classification problems
- support vector
- training set
- high dimensional datasets
- classification accuracy
- high dimensionality
- data sets
- machine learning algorithms
- detection algorithm
- class imbalance
- svm classifier
- multi class
- knowledge discovery
- data mining
- class labels
- classification algorithm
- unsupervised learning
- model selection
- fraud detection
- data streams
- machine learning