Anna Cinzia Squicciarini

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Cinzia Squicciarini trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. L. Eon Bottou
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Kaiming He
  10. Jia Deng

Papers from Anna Cinzia Squicciarini's perspective

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

Their papers