Patrick James Tighe

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Health Information Management — 14 citations into it
• Molecular Biology — 14 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Patrick James Tighe trusts overall

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

1. Edward Choi
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Kevin P. Murphy
5. Tomas Mikolov
6. Di Zhao
7. Min Jiang
8. Yoshua Bengio
9. Thomas A. Lasko
10. Edward H. Shortliffe

Who trusts Patrick James Tighe overall

1. Jeremy Goecks

Papers from Patrick James Tighe's perspective

Ordered by how strongly the researchers Patrick James Tighe 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. Long Short-Term Memory
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. Efficient Estimation of Word Representations in Vector Space
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis (2017) — 1,486 citations
• Artificial Intelligence and Surgical Decision-Making (2019) — 465 citations