Pasquale De Meo

Statistical and Nonlinear Physics · 2011–2015

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pasquale De Meo trusts overall

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

  1. Mark Newman
  2. Michelle Girvan
  3. Jordi Duch
  4. Santo Fortunato
  5. Aaron Clauset
  6. Andrew Y. Ng
  7. Andrea Lancichinetti
  8. Bin Li
  9. Leon Danon
  10. Alex Arenas

Papers from Pasquale De Meo's perspective

Ordered by how strongly the researchers Pasquale De Meo 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers