Sang-Muk Jo

Artificial Intelligence · 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 Sang-Muk Jo trusts overall

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

  1. Alex Krizhevsky

Papers from Sang-Muk Jo's perspective

Ordered by how strongly the researchers Sang-Muk Jo 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. Flexible, High Performance Convolutional Neural Networks for Image Classification
  5. Face recognition: a convolutional neural-network approach
  6. Machine Learning in Financial Crisis Prediction: A Survey
  7. A data-driven approach to predict the success of bank telemarketing
  8. Forecasting model of global stock index by stochastic time effective neural network
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers