Ahmad Chaddad

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Health Informatics — 13 citations into it

Whom Ahmad Chaddad trusts overall

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

1. Scott M. Lundberg
2. Amina Adadi
3. Geoffrey E. Hinton
4. Avanti Shrikumar
5. Alex Krizhevsky
6. Bolei Zhou
7. Yoshua Bengio
8. Yann LeCun
9. Karen Simonyan
10. Matthew D. Zeiler

Papers from Ahmad Chaddad's perspective

Ordered by how strongly the researchers Ahmad Chaddad 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Survey of Explainable AI Techniques in Healthcare (2023) — 504 citations