James L. Cross

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Health Informatics — 13 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom James L. Cross trusts overall

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

1. Stefan Harrer
2. Faisal Kamiran
3. Marco Tulio Ribeiro
4. Abubakar Abid
5. Nitesh V. Chawla
6. Toon Calders
7. Moloud Abdar
8. Patrick J. Fitzpatrick
9. Sameer Singh
10. Geoffrey E. Hinton

Papers from James L. Cross's perspective

Ordered by how strongly the researchers James L. Cross 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Improving Language Understanding by Generative Pre-Training
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Bias in medical AI: Implications for clinical decision-making (2024) — 422 citations