Maha A. Sharkas

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it

Whom Maha A. Sharkas trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Richard G. Brereton
4. Dilpreet Kaur
5. Neeraj Dhungel

Who trusts Maha A. Sharkas overall

1. Enes Ayan
2. Dina M. Ibrahim

Papers from Maha A. Sharkas's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Going deeper with convolutions
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• Breast cancer detection using deep convolutional neural networks and support vector machines (2019) — 420 citations