Francesco Bodria

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 100 citations into it
• Safety, Robustness & Interpretability — 58 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Information Systems — 9 citations into it
• AI Ethics, Fairness & Society — 5 citations into it

Whom Francesco Bodria trusts overall

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

1. Karen Simonyan
2. Been Kim
3. Geoffrey E. Hinton
4. Riccardo Guidotti
5. Yoshua Bengio
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Pedro M. Domingos
9. Sandra Wachter
10. Yann LeCun

Who trusts Francesco Bodria overall

1. Bo Li
2. Longo Luca

Papers from Francesco Bodria's perspective

Ordered by how strongly the researchers Francesco Bodria 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Benchmarking and survey of explanation methods for black box models (2021) — 345 citations