Roberto Di Pietro

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Di Pietro trusts overall

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

  1. Yih-Chun Hu
  2. Muthu Dayalan
  3. Eric R. Ziegel
  4. Chao Yang
  5. Adrian Perrig
  6. Chih-Jen Lin
  7. Stijn van Dongen
  8. K. Gwet
  9. Kyumin Lee
  10. Giuseppe Ateniese

Who trusts Roberto Di Pietro overall

  1. Seyit Ahmet Camtepe
  2. Yinhai Wang
  3. Qian Wang
  4. James Newsome
  5. Huaqun Wang
  6. Giuseppe Ateniese
  7. David M. Beskow
  8. Kui Ren
  9. Bülent Yener
  10. Jaydip Sen

Papers from Roberto Di Pietro's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  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. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. LIBSVM: A library for support vector machines
  8. Long Short-Term Memory
  9. Replication is not needed: single database, computationally-private information retrieval
  10. ImageNet: A large-scale hierarchical image database

Their papers