Sean C. P. Coogan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Statistics and Probability — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Sean C. P. Coogan trusts overall

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

1. Leo Breiman
2. Stephen W. Carden
3. Jerome H. Friedman
4. Trevor J. Hastie
5. Kevin P. Murphy
6. Sepp Hochreiter
7. Jane Elith
8. Julian D. Olden
9. Jan Kukacka

Papers from Sean C. P. Coogan's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Greedy function approximation: A gradient boosting machine.
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Probabilistic reasoning in intelligent systems - networks of plausible inference
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A review of machine learning applications in wildfire science and management (2020) — 693 citations