A Novel Deep-Learning-Based Bug Severity Classification Technique Using Convolutional Neural Networks and Random Forest with Boosting.
Ashima KukkarRajni MohanaAnand NayyarJeamin KimByeong-Gwon KangNaveen K. ChilamkurtiPublished in: Sensors (2019)
Keyphrases
- random forest
- deep learning
- decision trees
- feature set
- decision tree learning algorithms
- ensemble methods
- ensemble classifier
- unsupervised feature learning
- machine learning
- unsupervised learning
- random forests
- base classifiers
- convolutional neural networks
- ensemble learning
- feature selection
- classification accuracy
- benchmark datasets
- machine learning methods
- pattern recognition
- support vector machine
- class labels
- feature extraction
- text classification
- multi label
- training samples
- image classification
- computer vision
- supervised learning
- multiscale
- feature space
- information retrieval
- image segmentation
- mental models
- face recognition
- classification models
- support vector
- cost sensitive
- training set
- naive bayes