Marius Rüetschi

Environmental Engineering · 2021

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

• Environmental Engineering — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom Marius Rüetschi trusts overall

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

1. J. Urgen Schmidhuber
2. David Small
3. Thorsten Hoeser
4. Olaf Ronneberger
5. Trevor J. Hastie
6. Geoffrey E. Hinton

Papers from Marius Rüetschi's perspective

Ordered by how strongly the researchers Marius Rüetschi 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. Gradient-based learning applied to document recognition
4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Random Forests
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries (2021) — 57 citations