Clara I. Sánchez
Computer Vision and Pattern Recognition · 2010–2017
A researcher in the Science corpus: 5 papers; trusts 77 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 139 citations into it; #20,733 of 21,575 by trust here, #1,836 by citations
- Artificial Intelligence — 113 citations into it; #30,349 of 35,345 by trust here, #2,214 by citations
- Model Architectures — 30 citations into it
- Optimization & Training — 23 citations into it
- Media Technology — 8 citations into it
Whom Clara I. Sánchez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Dan Claudiu Ciresan
- J. Urgen Schmidhuber
- Diederik P. Kingma
Who trusts Clara I. Sánchez overall
Papers from Clara I. Sánchez's perspective
Ordered by how strongly the researchers Clara I. Sánchez trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A survey on deep learning in medical image analysis (2017) — 13,846 citations
- Large scale deep learning for computer aided detection of mammographic lesions (2017) — 912 citations
- Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks (2016) — 1,170 citations
- Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images (2016) — 420 citations
- Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs (2010) — 572 citations