Micheline Kamber

Artificial Intelligence · 2000–2011

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Micheline Kamber trusts overall

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

  1. Jiawei Han
  2. Jian Pei
  3. Vladimir Naumovich Vapnik
  4. Rakesh Agrawal
  5. Mohammed J. Zaki

Who trusts Micheline Kamber overall

  1. Justin Zhijun Zhan
  2. Karim O. Elish
  3. T. Warren Liao
  4. Abdulhamit Subasi
  5. Jiawei Han
  6. Benjamin C. M. Fung
  7. David J. Hill
  8. Mohammed J. Zaki
  9. Jesús Alcalá-Fdez
  10. Eyman A. Alyahyan

Papers from Micheline Kamber's perspective

Ordered by how strongly the researchers Micheline Kamber trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. The Nature of Statistical Learning Theory
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers