Sequential Embedding-based Attentive (SEA) classifier for malware classification.
Muhammad AhmedAnam QureshiJawwad Ahmed ShamsiMurk MarviPublished in: CoRR (2023)
Keyphrases
- classification scheme
- classification method
- classification process
- classification algorithm
- classification accuracy
- class labels
- support vector machine
- decision trees
- training samples
- support vector
- svm classifier
- feature selection
- training set
- decision boundary
- learning vector quantization
- classifier combination
- classification rate
- pattern recognition
- hierarchical classification
- nearest neighbor classifier
- accurate classification
- classification models
- nearest neighbor rule
- classification schemes
- high classification accuracy
- multi class classifier
- feature space
- feature set
- machine learning
- final classification
- higher classification accuracy
- multiple classifiers
- individual classifiers
- classifier ensemble
- rule based classifier
- binary classifiers
- probabilistic classifiers
- bayesian classifier
- classification decisions
- pattern classification
- learning phase
- support vector machine svm
- k nearest neighbour
- image classification
- nearest neighbour
- feature extraction
- associative classifiers
- optimum path forest
- robust classification
- knn
- feature extraction and classification
- fuzzy classifier
- supervised classification
- pixel classification
- multi class
- fold cross validation
- ensemble classifier
- accurate classifiers
- feature reduction
- feature vectors
- multi category
- fuzzy support vector machine
- training process