Luca Pappalardo

Transportation · ACM Computing Surveys · 2020

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luca Pappalardo trusts overall

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

  1. Geoffrey E. Hinton
  2. Yiannis Kamarianakis
  3. Scott M. Lundberg
  4. Yu Zheng
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Alex Graves
  8. Ilya Sutskever
  9. Alan Agresti
  10. Kaiming He

Papers from Luca Pappalardo's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers