Dana Hughes

Biomedical Engineering · 2015

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 29 citations into it
• Mechanical Engineering — 15 citations into it
• Computer Networks and Communications — 13 citations into it
• Electrical and Electronic Engineering — 13 citations into it
• Civil and Structural Engineering — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Mechanics of Materials — 8 citations into it

Whom Dana Hughes trusts overall

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

1. Keith Worden
2. Geoffrey E. Hinton
3. Paul J. Werbos
4. Sepp Hochreiter
5. Alex Smola
6. David E. Rumelhart
7. Daphne Koller
8. Yoshua Bengio
9. Corinna Cortes
10. Alex Krizhevsky

Papers from Dana Hughes's perspective

Ordered by how strongly the researchers Dana Hughes 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
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. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Materials that couple sensing, actuation, computation, and communication (2015) — 600 citations