Mohammad Ali Salahuddin

Computer Networks and Communications · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 111 citations into it
• Artificial Intelligence — 79 citations into it
• Electrical and Electronic Engineering — 36 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Model Architectures — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Reinforcement Learning — 10 citations into it

Whom Mohammad Ali Salahuddin trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Jerome H. Friedman
4. Yoshua Bengio
5. Robert Tibshirani
6. Ruslan Salakhutdinov
7. David E. Rumelhart
8. David H. Hubel
9. Teuvo Kohonen
10. Yann LeCun

Who trusts Mohammad Ali Salahuddin overall

1. Yuris Mulya Saputra

Papers from Mohammad Ali Salahuddin's perspective

Ordered by how strongly the researchers Mohammad Ali Salahuddin 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017) — 515 citations
• A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018) — 955 citations