Angelo Cangelosi

Computer Vision and Pattern Recognition · 2002–2017

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Angelo Cangelosi trusts overall

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

  1. Jeffrey L. Elman
  2. Stevan Harnad
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. David E. Rumelhart
  6. Xiangxin Zhu
  7. Erik Murphy-Chutorian
  8. Ilya Sutskever
  9. Yann LeCun
  10. Nitish Srivastava

Who trusts Angelo Cangelosi overall

  1. Angeliki Lazaridou
  2. Pierre-Yves Oudeyer
  3. Luc Steels
  4. José Hernandez-Orallo
  5. Bruno Galantucci
  6. German Ignacio Parisi
  7. Nataniel Ruiz
  8. Karl Moritz Hermann
  9. Aristotelis Chrysakis
  10. Jung-Hun Hwang

Papers from Angelo Cangelosi's perspective

Ordered by how strongly the researchers Angelo Cangelosi 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  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. Going deeper with convolutions

Their papers