G. Falcone

Artificial Intelligence · 2018–2022

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

Subfields

• Artificial Intelligence — 36 citations into it
• Radiology, Nuclear Medicine and Imaging — 15 citations into it

Whom G. Falcone trusts overall

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

1. Andrew Jaegle
2. Alec Radford
3. Geoffrey E. Hinton
4. Yuhao Zhang

Papers from G. Falcone's perspective

Ordered by how strongly the researchers G. Falcone trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Going deeper with convolutions

Their papers

• Multimodal biomedical AI (2022) — 1,074 citations
• Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes (2018) — 1,405 citations