Diego Bertolini

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it

Whom Diego Bertolini trusts overall

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

1. Trevor J. Hastie
2. Kaiming He
3. Christian Szegedy
4. James Bergstra
5. Yoshua Bengio
6. Shuo Wang
7. Karen Simonyan
8. Robert Tibshirani
9. Alex Krizhevsky
10. Cees G. M. Snoek

Papers from Diego Bertolini's perspective

Ordered by how strongly the researchers Diego Bertolini 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. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios (2020) — 429 citations