Fabio Alexandre Spanhol
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it; #9,690 of 21,575 by trust here, #8,612 by citations
- Artificial Intelligence — 20 citations into it; #15,072 of 35,345 by trust here, #12,387 by citations
Whom Fabio Alexandre Spanhol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Yann LeCun
- Alex Krizhevsky
- Yoshua Bengio
- Geoffrey E. Hinton
- Christopher Evans
- Ilya Sutskever
- Josef Kittler
- L. Eon Bottou
- Jeff Donahue
Who trusts Fabio Alexandre Spanhol overall
- Dalal Bardou
- Ghulam Murtaza
- Zhongyi Han
- Kun Zhang
- Md. Zahangir Alom
- Luiz Oliveira
- Daisuke Komura
- Alexander Rakhlin
- Neslihan Bayramoglu
- Sayed Mohammad Ahmad
Papers from Fabio Alexandre Spanhol's perspective
Ordered by how strongly the researchers Fabio Alexandre Spanhol trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Dataset for Breast Cancer Histopathological Image Classification (2016) — 1,610 citations
- Deep features for breast cancer histopathological image classification (2017) — 296 citations
- Breast cancer histopathological image classification using Convolutional Neural Networks (2016) — 838 citations