Francesco Giannini

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Francesco Giannini trusts overall

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

1. Lise Getoor
2. Luc De Raedt
3. Matthew Richardson
4. Stephen H. Bach
5. Bernhard E. Boser
6. Vilém Novák
7. Angelika Kimmig
8. Michelangelo Diligenti
9. Tim Rocktaschel
10. Pedro M. Domingos

Who trusts Francesco Giannini overall

1. Samy Badreddine

Papers from Francesco Giannini's perspective

Ordered by how strongly the researchers Francesco Giannini 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On a Convex Logic Fragment for Learning and Reasoning (2018) — 20 citations
• Integrating Learning and Reasoning with Deep Logic Models (2019) — 65 citations