Rodolfo Stoffel Antunes

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Federated & Distributed Learning — 8 citations into it
• Health Information Management — 7 citations into it
• Medical & Health AI — 5 citations into it

Whom Rodolfo Stoffel Antunes trusts overall

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

1. Dianbo Liu
2. Cynthia Dwork
3. Li Huang
4. Aleksei Triastcyn
5. Jenna Wiens
6. Timothy Miller
7. Yejin Kim
8. Qiong Wu
9. Mónica Ribero
10. Abhijit Guha Roy

Who trusts Rodolfo Stoffel Antunes overall

1. Mingxia Liu

Papers from Rodolfo Stoffel Antunes's perspective

Ordered by how strongly the researchers Rodolfo Stoffel Antunes 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Learning with Differential Privacy
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers

• Federated Learning for Healthcare: Systematic Review and Architecture Proposal (2022) — 598 citations