An ensemble of pre-trained transformer models for imbalanced multiclass malware classification.
Ferhat DemirkiranAykut ÇayirUgur ÜnalHasan DagPublished in: Comput. Secur. (2022)
Keyphrases
- multi class
- binary classification problems
- multiclass classification
- single class
- binary classifiers
- support vector machine
- multiclass problems
- multi class classification
- feature selection
- pre trained
- classification models
- cost sensitive
- binary classification
- multiple classes
- multiclass support vector machines
- class imbalance
- base classifiers
- cost sensitive classification
- model selection
- machine learning algorithms
- multi class problems
- pairwise
- training set
- neural network
- decision trees
- multi task
- error correcting output codes
- svm classifier
- machine learning
- training examples
- machine learning methods
- probabilistic model
- learning algorithm
- support vector
- feature vectors
- majority voting
- image classification
- class labels
- classification accuracy
- multitask learning
- feature space
- text classification
- training data
- feature extraction
- weak classifiers