Giuseppe Casalicchio

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 9 papers; trusts 86 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Giuseppe Casalicchio trusts overall

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

  1. Jerome H. Friedman
  2. Bernd Bischl
  3. Erik Strumbelj
  4. Lloyd S. Shapley
  5. Scott M. Lundberg
  6. Michel Lang
  7. Robert Tibshirani
  8. Igor Kononenko
  9. Giles Hooker
  10. Joaquin Vanschoren

Who trusts Giuseppe Casalicchio overall

  1. Philipp Probst
  2. Marc-André Zöller
  3. Jiayun Dong
  4. Anne-Laure Boulesteix
  5. Bernd Bischl
  6. Christoph Molnar
  7. Giulia Vilone
  8. Amina Adadi
  9. Alicja Gosiewska
  10. Przemyslaw Biecek

Papers from Giuseppe Casalicchio's perspective

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

Their papers