Aman Bin Jantan

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Aman Bin Jantan trusts overall

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

1. Simon S. Haykin
2. Yoshua Bengio
3. Stephen I. Gallant
4. Weizhong Yan
5. Soteris A. Kalogirou
6. Geoffrey E. Hinton
7. Andrew Barto
8. Haibo He
9. Richard S. Sutton
10. Yann LeCun

Papers from Aman Bin Jantan's perspective

Ordered by how strongly the researchers Aman Bin Jantan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition (2019) — 562 citations
• State-of-the-art in artificial neural network applications: A survey (2018) — 2,641 citations