Chang-Seok Lee
Artificial Intelligence · with Cho · 2015
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom Chang-Seok Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Chang-Seok Lee overall
Papers from Chang-Seok Lee's perspective
Ordered by how strongly the researchers Chang-Seok Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Large-Scale Video Classification with Convolutional Neural Networks
- Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
- Gradient-based learning applied to document recognition
- Flexible, High Performance Convolutional Neural Networks for Image Classification
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Face recognition: a convolutional neural-network approach
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Predicting the success of bank telemarketing using deep convolutional neural network (2015) — 27 citations