Natã Miccael Barbosa

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 9 citations into it
• AI Ethics, Fairness & Society — 5 citations into it

Whom Natã Miccael Barbosa trusts overall

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

1. Nicholas A. Diakopoulos
2. Sinno Jialin Pan
3. Boualem Benatallah
4. Justin Cheng
5. Kotaro Hara
6. Tanushree Mitra

Who trusts Natã Miccael Barbosa overall

1. Shanya Sharma Sharma

Papers from Natã Miccael Barbosa's perspective

Ordered by how strongly the researchers Natã Miccael Barbosa 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. A Survey on Transfer Learning
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning (2019) — 107 citations