Samuele Gasparrini

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Samuele Gasparrini trusts overall

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

  1. Chih-Jen Lin
  2. Bingbing Ni
  3. J. Platt
  4. Xiaodong Yang
  5. José Ramón Padilla-López
  6. Alexandros André Chaaraoui
  7. Lu Xia
  8. Junjie Shan
  9. Wanqing Li
  10. Alexander Kläser

Who trusts Samuele Gasparrini overall

  1. Enea Cippitelli
  2. Yueng Santiago Delahoz
  3. Ziyun Cai
  4. Roozbeh Jafari
  5. Fei Han
  6. Ennio Gambi
  7. Michael Firman
  8. Miguel A. Labrador
  9. Susanna Spinsante
  10. Jungong Han

Papers from Samuele Gasparrini's perspective

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

Their papers