Francesco Camastra

Computer Vision and Pattern Recognition · 2002–2016

A researcher in the Science corpus: 5 papers; trusts 71 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Camastra trusts overall

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

  1. Teuvo Kohonen
  2. Joseph B. Kruskal
  3. Anil K. Jain
  4. Balázs Kégl
  5. Bernhard Schölkopf
  6. Keinosuke Fukunaga
  7. Sam T. Roweis
  8. Vladimir Naumovich Vapnik
  9. Ian T. Jolliffe
  10. Robert Tibshirani

Who trusts Francesco Camastra overall

  1. Tong Lin
  2. Sidney R. Lehky
  3. Sun-Yuan Kung
  4. Daniel Graves
  5. Jose A. Costa
  6. Hsin-Chien Huang
  7. Hongyuan Zha
  8. Roozbeh Kiani
  9. Paul Breiding
  10. Antonino Staiano

Papers from Francesco Camastra's perspective

Ordered by how strongly the researchers Francesco Camastra 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers