Zehra Kadiroglu

Computer Vision and Pattern Recognition · 2018

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 — 7 citations into it

Whom Zehra Kadiroglu trusts overall

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

1. Lulu Wang
2. Alex Krizhevsky
3. Karen Simonyan

Papers from Zehra Kadiroglu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Transfer learning based histopathologic image classification for breast cancer detection (2018) — 300 citations