Raouf Boutaba

Computer Networks and Communications · 2005–2018

A researcher in the Science corpus: 15 papers; trusts 43 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Raouf Boutaba trusts overall

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

  1. Geoffrey E. Hinton
  2. Jerome H. Friedman
  3. Richard S. Sutton
  4. Larry L. Peterson
  5. Mosharaf Chowdhury
  6. David H. Hubel
  7. Robert Tibshirani
  8. Yoshua Bengio
  9. Teuvo Kohonen
  10. J. Ross Quinlan

Who trusts Raouf Boutaba overall

  1. Md. Faizul Bari
  2. Yuris Mulya Saputra
  3. Mosharaf Chowdhury
  4. Yong Li
  5. Wanqing Guan
  6. Andreas Fischer
  7. Dinh Thai Hoang
  8. Chengchao Liang
  9. Jiong Jin
  10. Juan Felipe Botero

Papers from Raouf Boutaba's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers