Kyung-shik Shin

Artificial Intelligence · 2002–2005

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Kyung-shik Shin trusts overall

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

  1. J. Ross Quinlan
  2. C. Burges
  3. Vladimir Naumovich Vapni
  4. Lijuan Cao
  5. Amir F. Atiya
  6. Corinna Cortes
  7. Vladimir Naumovich Vapnik
  8. Bernhard Schölkopf
  9. John H. Holland
  10. David E. Goldberg

Who trusts Kyung-shik Shin overall

  1. Vadlamani Ravi
  2. Jie Sun
  3. Kyoung-jae Kim
  4. Dongsong Zhang
  5. Ruibin Geng
  6. Mehmet Ergezer
  7. Hui Li
  8. Maciej Ziȩba
  9. Shih-Wei Lin
  10. H. Kurniawan

Papers from Kyung-shik Shin's perspective

Ordered by how strongly the researchers Kyung-shik Shin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Support-Vector Networks
  3. ImageNet classification with deep convolutional neural networks
  4. Neural Networks: A Comprehensive Foundation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Genetic Algorithms in Search Optimization and Machine Learning
  7. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
  8. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  9. A Tutorial on Support Vector Machines for Pattern Recognition
  10. Going deeper with convolutions

Their papers