Uwe Glässer

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Signal Processing — 5 citations into it

Whom Uwe Glässer trusts overall

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

1. G. Zhang
2. Theresa L. Utlaut
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Nicholas I. Sapankevych
6. Mehdi Khashei
7. Zhicheng Cui
8. Alex Graves
9. Aditya Grover
10. Dumitru Erhan

Papers from Uwe Glässer's perspective

Ordered by how strongly the researchers Uwe Glässer trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. This PDF file includes: Materials and Methods
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning Based Forecasting of Critical Infrastructure Data (2017) — 18 citations