Annalisa Barla

Statistical Learning Theory · 2003–2012

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Annalisa Barla trusts overall

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

  1. Yuhai Wu
  2. Charles A. Micchelli
  3. Massimiliano Pontil
  4. Theodoros Evgeniou
  5. Alan J. Izenman
  6. Andrea Caponnetto
  7. Peter Buhlmann
  8. Eric R. Ziegel
  9. Andreas Argyriou
  10. Alex Smola

Who trusts Annalisa Barla overall

  1. Jason Aaron Edward Weston
  2. Bei Zhao
  3. Radu Bogdan Rusu
  4. Maya R. Gupta
  5. Yanfei Zhong
  6. Xinlei Chen
  7. Jeremie Papon
  8. Feng Wang
  9. Huai Yu
  10. Paul Bodesheim

Papers from Annalisa Barla's perspective

Ordered by how strongly the researchers Annalisa Barla 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. The Elements of Statistical Learning
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A Probabilistic Theory of Pattern Recognition

Their papers