Cristiano André da Costa

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 Cristiano André da Costa 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

Papers from Cristiano André da Costa's perspective

Ordered by how strongly the researchers Cristiano André da Costa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Learning with Differential Privacy
2. MIMIC-III, a freely accessible critical care database
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Practical Secure Aggregation for Privacy-Preserving Machine Learning
6. ImageNet classification with deep convolutional neural networks
7. Federated Tensor Factorization for Computational Phenotyping
8. Differential Privacy: A Survey of Results
9. Federated Learning for Mobile Keyboard Prediction
10. LoAdaBoost: Loss-Based AdaBoost Federated Machine Learning on medical Data

Their papers

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