Bernhard Sick

Artificial Intelligence · 2002–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #31,878 of 35,345 by trust here, #22,463 by citations

Whom Bernhard Sick trusts overall

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

1. Yoshua Bengio
2. Simon S. Haykin
3. Charles M. Bishop
4. Li Deng
5. Martin A. Riedmiller
6. Geoffrey E. Hinton

Who trusts Bernhard Sick overall

1. Arjan Siddhpura
2. Dazhong Wu
3. D. Pimenov
4. R. Paurobally
5. Connor Jennings
6. Andrés Bustillo
7. Tugrul Özel
8. Daniel Hsu
9. Janis P. Terpenny
10. Roberto Teti

Papers from Bernhard Sick's perspective

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

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

Their papers

• ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH (2002) — 500 citations
• Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks (2016) — 554 citations