Dina Ahmed Ragab

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Dina Ahmed Ragab trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Richard G. Brereton
  4. Dilpreet Kaur
  5. Neeraj Dhungel
  6. Junwei Han
  7. Koray Kavukcuoglu
  8. Geoffrey E. Hinton
  9. Holger R. Roth
  10. Jaime Zabalza

Who trusts Dina Ahmed Ragab overall

  1. Enes Ayan
  2. Dina M. Ibrahim
  3. Halil Murat Ünver
  4. Nada M. Elshennawy

Papers from Dina Ahmed Ragab's perspective

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

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

Their papers