Aliasghar Mortazi

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Model Architectures — 9 citations into it

Whom Aliasghar Mortazi trusts overall

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

1. Barret Zoph
2. Nate Kohl
3. Quoc V. Le
4. Prajit Ramachandran
5. Richard S. Sutton
6. Peter Stone
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Kaiming He
10. Yoshua Bengio

Papers from Aliasghar Mortazi's perspective

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

Their papers

• Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge (2019) — 346 citations
• Automatically Designing CNN Architectures for Medical Image Segmentation (2018) — 93 citations
• Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks. (2018) — 147 citations