FDIA Detection through an Adaptive Multi-Level Features Classification in Smart Grids.
Marziyehsadat AsadiJamshid AboueiZohreh Hajiakhondi-MeybodiMohammadreza MazidiArash MohammadiPublished in: SMC (2020)
Keyphrases
- classification accuracy
- feature vectors
- feature extraction
- feature set
- feature extraction and classification
- feature space
- classification models
- classification method
- mammogram images
- false positives
- classification process
- support vector
- support vector machine classifier
- features extraction
- extracting features
- svm classifier
- feature subset
- benchmark datasets
- pattern recognition
- feature values
- automatic classification
- feature analysis
- gender classification
- extracted features
- adaboost classifier
- feature selection
- class labels
- low level
- image classification
- pattern classification
- feature representation
- support vector machine svm
- text classification
- machine learning
- neyman pearson
- feature reduction
- discriminative features
- detection method
- classification algorithm
- irrelevant features
- detection algorithm
- feature weights
- co occurrence
- highly discriminative
- image features
- category labels
- detection rate