Mohamed Medhat Gaber

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 7 papers; trusts 106 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Medhat Gaber trusts overall

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

  1. Charu C. Aggarwal
  2. Pedro M. Domingos
  3. Geoff Hulten
  4. Leo Breiman
  5. Jiawei Han
  6. Jens Kober
  7. Geoffrey E. Hinton
  8. Jan Peters
  9. Alex Krizhevsky
  10. Stefan Schaal

Who trusts Mohamed Medhat Gaber overall

  1. Michael Hahsler
  2. Geoffrey I. Webb
  3. Hai-Long Nguyen
  4. Indrė Žliobaitė
  5. Tyler L. Hayes
  6. Han Hu
  7. Matthew Bolaños
  8. Georg Krempl
  9. Frederic T. Stahl
  10. Yew Kwong Woon

Papers from Mohamed Medhat Gaber's perspective

Ordered by how strongly the researchers Mohamed Medhat Gaber 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers