C. Seifert

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 6 citations into it

Whom C. Seifert trusts

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

1. J. Urgen Schmidhuber (in Artificial Intelligence)

Papers from C. Seifert's perspective

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

1. A unified architecture for natural language processing: deep neural networks with multitask learning
2. Deep learning in neural networks: An overview
3. Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data (AAAI Conference on Artificial Intelligence)
4. Original paper: Evaluating high resolution SPOT 5 satellite imagery for crop identification
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach (2018) — 463 citations