Francesco Marcelloni

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Marcelloni trusts overall

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

  1. Jing Ma
  2. Sejeong Kwon
  3. Michael I. Jordan
  4. David M. Blei
  5. Regina Barzilay
  6. Geoffrey E. Hinton
  7. Steven J. Bradtke
  8. Yoshua Bengio
  9. Hunt Allcott
  10. Amr Magdy

Papers from Francesco Marcelloni's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers