Alice Este

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alice Este trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. C. Burges
  3. Bernhard Schölkopf
  4. Chih-Wei Hsu
  5. Jay A. Farrell
  6. Chih-Jen Lin
  7. Pai-Hsuen Chen
  8. Laurent Bernaille
  9. Manuel Crotti
  10. Alex Smola

Who trusts Alice Este overall

  1. Jun Zhang
  2. Giuseppe Ateniese
  3. Raouf Boutaba
  4. Yang Xiang
  5. Luigi Vincenzo Mancini
  6. Mohammad Ali Salahuddin

Papers from Alice Este's perspective

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

  1. Statistical learning theory
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. New Support Vector Algorithms

Their papers