Melissa D. McCradden

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Melissa D. McCradden trusts overall

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

1. Marco Tulio Ribeiro
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Been Kim
5. Alex Krizhevsky
6. Berk Ustun
7. Cynthia Rudin
8. Diederik P. Kingma
9. Fulton Wang
10. Pang Wei Koh

Papers from Melissa D. McCradden's perspective

Ordered by how strongly the researchers Melissa D. McCradden 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. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use (2019) — 663 citations