Maaike de Boer

2016

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

Whom Maaike de Boer trusts overall

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

1. Yu-Gang Jiang
2. Stephen E. Robertson
3. Sri Devi Ravana
4. Josef Kittler
5. Du Tran
6. Liang Zheng
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. Paul Over
10. Karen Spärck Jones

Papers from Maaike de Boer's perspective

Ordered by how strongly the researchers Maaike de Boer 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. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Blind late fusion in multimedia event retrieval (2016) — 7 citations