Masoud Daneshtalab

Cardiology and Cardiovascular Medicine · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masoud Daneshtalab trusts overall

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

  1. Özal Yıldırım
  2. Kaiming He
  3. Geoffrey E. Hinton

Papers from Masoud Daneshtalab's perspective

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

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

Their papers