Giuseppe Di Fatta

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Natural Language Processing — 11 citations into it

Whom Giuseppe Di Fatta trusts overall

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

1. Yoon Kim
2. Geoffrey E. Hinton
3. Marco Tulio Ribeiro
4. Leila Arras
5. Grgoire Montavon
6. Yoshua Bengio
7. Finale Doshi-Velez
8. Ronan Collobert
9. Yann LeCun
10. Alex Krizhevsky

Papers from Giuseppe Di Fatta's perspective

Ordered by how strongly the researchers Giuseppe Di Fatta 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. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Explainable Sentiment Analysis with Applications in Medicine (2018) — 43 citations
• On expressiveness and uncertainty awareness in rule-based classification for data streams (2017) — 19 citations