Mohamed Ali Mahjoub

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Cognitive Neuroscience — 18 citations into it
• Radiology, Nuclear Medicine and Imaging — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Graph Learning — 9 citations into it

Whom Mohamed Ali Mahjoub trusts overall

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

1. Bruce Fischl
2. Thomas Kipf
3. Susan L. Whitfield-Gabrieli
4. Cornelis J. Stam
5. Ziwei Zhang
6. Martijn P. van den Heuvel
7. Max Welling
8. X. Shen
9. Franco Scarselli
10. Rex Ying

Papers from Mohamed Ali Mahjoub's perspective

Ordered by how strongly the researchers Mohamed Ali Mahjoub trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. The Graph Neural Network Model

Their papers

• Graph Neural Networks in Network Neuroscience (2021) — 313 citations