Mario Cannataro

Artificial Intelligence · 2003–2018

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Molecular Biology — 34 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Cell Biology — 5 citations into it

Whom Mario Cannataro trusts overall

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

1. Natasa Przulj
2. Réka Albert
3. Igor Jurisica
4. Kevin R. Brown
5. Renzo Angles
6. Chris Stark
7. Ioannis Xenarios
8. Hanah Margalit
9. Bobby-Joe Breitkreutz
10. Alejandro A. Schäffer

Papers from Mario Cannataro's perspective

Ordered by how strongly the researchers Mario Cannataro 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
• Protein-to-protein interactions: Technologies, databases, and algorithms (2010) — 574 citations
• The knowledge grid (2003) — 459 citations