Rasheed Hussain

Computer Networks and Communications · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Rasheed Hussain trusts overall

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

  1. P. Koopman
  2. Andreas Geiger
  3. Jérôme Härri
  4. Alberto Broggi
  5. Chenyi Chen
  6. Murray Campbell
  7. Geoffrey E. Hinton
  8. Michael D. Wagner
  9. Alex Krizhevsky
  10. Sherali Zeadally

Who trusts Rasheed Hussain overall

  1. Fatima Hussain
  2. Ke He
  3. Haftay Gebreslasie Abreha
  4. Shalitha Wijethilaka

Papers from Rasheed Hussain's perspective

Ordered by how strongly the researchers Rasheed Hussain 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. GENERATIVE ADVERSARIAL NETS
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers