Tommaso Fornaciari

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tommaso Fornaciari trusts overall

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

  1. Yiming Yang
  2. Corinna Cortes
  3. George Forman
  4. Joseph Hilbe
  5. Rada Mihalcea
  6. Vladimir Naumovich Vapnik
  7. Xin Liu
  8. Arthur P. Dempster
  9. Alexandros Karatzoglou
  10. Fangtao Li

Who trusts Tommaso Fornaciari overall

  1. Dirk Hovy
  2. Verónica Pérez-Rosas
  3. Shannon L. Spruit
  4. Mohamed Abouelenien
  5. Sebastian Gehrmann
  6. Sarah Ita Levitan
  7. Rada Mihalcea

Papers from Tommaso Fornaciari's perspective

Ordered by how strongly the researchers Tommaso Fornaciari 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. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers