Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks.
Juan Carlos PichelBeatriz Pateiro-LópezPublished in: IEEE Access (2019)
Keyphrases
- imbalanced datasets
- sparse matrix
- class imbalance
- cost sensitive learning
- convolutional neural networks
- class distribution
- decision trees
- pattern recognition
- imbalanced data
- cost sensitive
- support vector machine
- machine learning
- training dataset
- classification accuracy
- text classification
- unsupervised learning
- training set
- ensemble methods
- feature space
- binary classification
- sampling methods
- support vector machine svm
- feature extraction
- training data
- active learning
- training samples
- feature selection algorithms
- machine learning methods
- class labels
- image classification
- feature set
- supervised learning
- optimal solution
- feature selection