Francesca Capozzi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesca Capozzi trusts overall

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

  1. Mehmet Gönen
  2. L. V. D. van der Maaten
  3. Geoffrey E. Hinton

Papers from Francesca Capozzi's perspective

Ordered by how strongly the researchers Francesca Capozzi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Visualizing Data using t-SNE
  2. Multiple Kernel Learning Algorithms
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers