Noor H. Awad

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #28,621 of 35,345 by trust here, #25,040 by citations
• Computational Theory and Mathematics — 10 citations into it; #9,864 of 12,182 by trust here, #6,798 by citations

Whom Noor H. Awad trusts overall

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

1. Ryoji Tanabe
2. Aaron Klein
3. Frank Hutter
4. Esteban Real
5. Jingqiao Zhang
6. Xuanyi Dong
7. Alex S. Fukunaga
8. Hanxiao Liu
9. Karen Simonyan
10. Stefan Falkner

Who trusts Noor H. Awad overall

1. Jiankai Xue
2. Jacinto Carrasco
3. Haotian Liu
4. Bo Shen
5. Mohamed Abdel-Basset
6. Salvador Garcia
7. Malik Braik

Papers from Noor H. Awad's perspective

Ordered by how strongly the researchers Noor H. Awad 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems (2017) — 457 citations
• Supplementary material for DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization (2021)