Veronica Piccialli

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Veronica Piccialli trusts overall

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

  1. Thorsten Joachims
  2. S. Sathiya Keerthi
  3. Vojtech Franc
  4. Yuhai Wu
  5. Chih-Jen Lin
  6. Radford M. Neal
  7. Christopher K. I. Williams
  8. Olivier Chapelle
  9. Rong-En Fan
  10. Roger Fletcher

Who trusts Veronica Piccialli overall

  1. Laura Palagi

Papers from Veronica Piccialli's perspective

Ordered by how strongly the researchers Veronica Piccialli 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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. The Nature of Statistical Learning Theory

Their papers