Riccardo Miotto

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Riccardo Miotto trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Ilya Sutskever
  5. Yann LeCun
  6. Hugo Larochelle
  7. Pascal Vincent
  8. Diederik P. Kingma
  9. Ruslan Salakhutdinov
  10. Radford M. Neal

Who trusts Riccardo Miotto overall

  1. Ying Sha
  2. Raquel Dias
  3. Zhengping Che
  4. Sören Richard Stahlschmidt
  5. M. Bakator
  6. Edward Choi
  7. Cao Xiao
  8. Wei Zhang
  9. Yuxi Li
  10. Harini Suresh

Papers from Riccardo Miotto's perspective

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

Their papers