Ibrahim A. Hameed

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 106 citations into it
• Computer Networks and Communications — 73 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Ibrahim A. Hameed trusts overall

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

1. Kaiming He
2. Morgan Quigley
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Caroline Tagg
6. Yoshua Bengio
7. Christian Szegedy

Papers from Ibrahim A. Hameed's perspective

Ordered by how strongly the researchers Ibrahim A. Hameed 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. Going deeper with convolutions
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Research and development in agricultural robotics: a perspective of digital farming. (2018) — 502 citations
• A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data (2021) — 297 citations
• A Review of Content-Based and Context-Based Recommendation Systems (2021) — 308 citations
• A Survey on Machine Learning Techniques for Cyber Security in the Last Decade (2020) — 379 citations