Natalia Antropova

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 8 citations into it

Whom Natalia Antropova trusts overall

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

1. Jason Yosinski
2. Jeff Donahue
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Yann LeCun
6. Kaiming He
7. Yangqing Jia
8. Karen Simonyan
9. Alex Krizhevsky
10. Oriol Vinyals

Who trusts Natalia Antropova overall

1. Maciej A. Mazurowski
2. Berkman Sahiner
3. Shengfeng Liu
4. Mateusz Buda
5. Maryellen Lissak Giger

Papers from Natalia Antropova's perspective

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

Their papers

• A Deep Feature Fusion Methodology for Breast Cancer Diagnosis Demonstrated on Three Imaging Modality Datasets (2017) — 358 citations