Asmaa Abbas
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #28,392 of 35,345 by trust here, #26,682 by citations
- Radiology, Nuclear Medicine and Imaging — 16 citations into it; #2,197 of 3,265 by trust here, #2,603 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Infectious Diseases — 6 citations into it
Whom Asmaa Abbas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Linda Wang
- Alex Krizhevsky
- Kaiming He
- Christian Szegedy
- Ioannis D. Apostolopoulos
- Dr. Prabira Kumar Sethy
- Geoffrey E. Hinton
- Joseph Paul Cohen
- Ilya Sutskever
- Alexander Wong
Who trusts Asmaa Abbas overall
- S. Suganyadevi
- Tawsifur Rahman
- Quoc-Viet Pham
- N. Das
- Joseph Aylett-Bullock
- Muhammad Enamul Hoque Chowdhury
- Amith Abdullah Khandakar
- V. Seethalakshmi
- Dinh C. Nguyen
- Navin Rathna Kumar
Papers from Asmaa Abbas's perspective
Ordered by how strongly the researchers Asmaa Abbas trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)