AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.
Shao XiangQiaokang LiangYucheng HuPen TangGianmarc CoppolaDan ZhangWei SunPublished in: Comput. Methods Programs Biomed. (2019)
Keyphrases
- multi label
- convolutional neural network
- multi label classification
- image classification
- class labels
- multiscale
- text classification
- multi label learning
- text categorization
- multi instance
- protein function prediction
- binary classification
- multiple labels
- image annotation
- face detection
- classification algorithm
- graph cuts
- support vector
- image representation
- decision trees
- hierarchical text categorization
- neural network
- feature vectors
- image processing
- classification accuracy
- cost sensitive
- training data
- unsupervised learning
- binary classifiers
- higher order
- semi supervised
- training set
- reinforcement learning
- feature extraction
- feature selection