Matteo Pastorino

IEEE Transactions on Antennas and Propagation · with Randazzo · 2005–2010

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Whom Matteo Pastorino trusts overall

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

  1. Alex Smola
  2. Vladimir Cherkassky
  3. S. Sathiya Keerthi
  4. Bernhard Schölkopf
  5. Yuhai Wu
  6. Yunqian Ma
  7. Vladimir Naumovich Vapnik
  8. Shirish K. Shevade
  9. C. Bhattacharyya

Who trusts Matteo Pastorino overall

  1. Zhangmeng Liu
  2. Paolo Rocca
  3. Chenwei Zhang
  4. Luca Manica
  5. Natalia K. Nikolova
  6. Philip S. Yu

Papers from Matteo Pastorino's perspective

Ordered by how strongly the researchers Matteo Pastorino 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. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Statistical Learning Theory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers