Carlos Alberto Silva

Computer Vision and Pattern Recognition · with Pereira · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 54 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 69 citations into it; #15,625 of 21,575 by trust here, #2,240 by citations
• Artificial Intelligence — 20 citations into it
• Neurology — 20 citations into it; #736 of 1,455 by trust here, #36 by citations
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it
• Media Technology — 5 citations into it

Whom Carlos Alberto Silva trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Karen Simonyan
6. Ilya Sutskever
7. Kaiming He
8. Xavier Glorot
9. Andrew L. Maas
10. Stefan Bauer

Who trusts Carlos Alberto Silva overall

1. Halil Murat Ünver
2. Enes Ayan
3. Dinggang Shen
4. Heung-Il Suk

Papers from Carlos Alberto Silva's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (2015) — 6,325 citations
• Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images (2016) — 2,370 citations
• Understanding and Interpreting Machine Learning in Medical Image Computing Applications (2018) — 82 citations