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

Whom Chang-Seok Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex Krizhevsky
  2. Wei-Yang Lin
  3. Ossama Abdel-Hamid

Who trusts Chang-Seok Lee overall

  1. A. Ozbayoglu

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.

  1. ImageNet classification with deep convolutional neural networks
  2. Large-Scale Video Classification with Convolutional Neural Networks
  3. Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
  4. Gradient-based learning applied to document recognition
  5. Flexible, High Performance Convolutional Neural Networks for Image Classification
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Face recognition: a convolutional neural-network approach
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers