Alaa Tharwat

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alaa Tharwat trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Tom Fawcett
  3. Hua Yu
  4. Marina Sokolova
  5. Alok Sharma
  6. Peter N. Belhumeur
  7. Juwei Lu
  8. Yaqian Guo
  9. Jie Yang
  10. Kuldip K. Paliwal

Who trusts Alaa Tharwat overall

  1. Rung Ching Chen
  2. M. Z. Naser
  3. Christine Dewi

Papers from Alaa Tharwat's perspective

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

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

Their papers