Early Prediction of Scientific Impact Based on Multi-Bibliographic Features and Convolutional Neural Network.
Jianguo XuMengjun LiJiang JiangBingfeng GeMengsi CaiPublished in: IEEE Access (2019)
Keyphrases
- convolutional neural network
- prediction accuracy
- prediction algorithm
- feature extraction
- low level
- feature set
- image features
- neural network
- digital libraries
- feature vectors
- classification accuracy
- learning environment
- co occurrence
- specific features
- artificial intelligence
- feature space
- data sets
- training data
- face detection
- similarity measure
- false positives