Enas Elgeldawi

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it

Whom Enas Elgeldawi trusts overall

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

1. Stephan Dreiseitl
2. James Hensman
3. Iwan Syarif
4. Pollyanna Gonçalves
5. Teuvo Kohonen
6. Karen Simonyan
7. Yoshua Bengio
8. Lucila Ohno-Machado
9. Lalit M. Patnaik
10. Geoffrey E. Hinton

Papers from Enas Elgeldawi's perspective

Ordered by how strongly the researchers Enas Elgeldawi 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. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep learning in drug discovery: an integrative review and future challenges (2022) — 302 citations
• Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis (2021) — 381 citations