M. Jorge Cardoso

Artificial Intelligence · 2012–2023

A researcher in the Science corpus: 24 papers; trusts 226 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom M. Jorge Cardoso trusts overall

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

  1. Geoffrey E. Hinton
  2. Matthew D. Zeiler
  3. Christian Szegedy
  4. Kaiming He
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Yann LeCun
  9. Sergey Ioffe
  10. Karen Simonyan

Who trusts M. Jorge Cardoso overall

  1. Wenqi Li
  2. Guotai Wang
  3. Fabian Isensee
  4. Mingxia Liu

Papers from M. Jorge Cardoso's perspective

Ordered by how strongly the researchers M. Jorge Cardoso 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers