Miguel De Strooper

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Miguel De Strooper trusts overall

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

1. Karen Simonyan
2. Diederik P. Kingma
3. Matthew D. Zeiler
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Dan Claudiu Ciresan
7. Jimmy Ba
8. Rob Fergus
9. Andrew Zisserman
10. Kaiming He

Papers from Miguel De Strooper's perspective

Ordered by how strongly the researchers Miguel De Strooper 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification (2018) — 59 citations