Scott C. James

Coastal Engineering · 2002–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Scott C. James trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Saman Razavi
5. Yoshua Bengio
6. Jimmy Ba
7. J. Urgen Schmidhuber
8. Vinod Nair
9. Alex Krizhevsky
10. Bryan Tolson

Who trusts Scott C. James overall

1. Petr Kadlec
2. Moritz von Stosch
3. Ferran Alet
4. Bogdan Gabrys
5. Rui Oliveira
6. Adarsh K. Jeewajee

Papers from Scott C. James's perspective

Ordered by how strongly the researchers Scott C. James trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Comparative study of black-box and hybrid estimation methods in fed-batch fermentation (2002) — 111 citations
• A machine learning framework to forecast wave conditions (2017) — 344 citations