Thorsten Wuest
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computer Networks and Communications — 8 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Control and Systems Engineering — 6 citations into it
- Management Science and Operations Research — 5 citations into it
- Reinforcement Learning — 5 citations into it
Whom Thorsten Wuest trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Miroslav Kubat
- S. Kotsiantis
- Andrew Barto
- Yoav Freund
- Corinna Cortes
- Francis Eng Hock Tay
- Achmad Widodo
- Vladimir Cherkassky
- Mauro Brunato
Who trusts Thorsten Wuest overall
Papers from Thorsten Wuest's perspective
Ordered by how strongly the researchers Thorsten Wuest trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- The Nature of Statistical Learning Theory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Support-Vector Networks
- Deep Learning
- Backpropagation Applied to Handwritten Zip Code Recognition
Their papers
- Machine learning in manufacturing: advantages, challenges, and applications (2016) — 1,205 citations
- Smart manufacturing: Characteristics, technologies and enabling factors (2019) — 473 citations
- "Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples (2017) — 990 citations
- TOWARDS AN OPERATOR 4.0 TYPOLOGY: A HUMAN-CENTRIC PERSPECTIVE ON THE FOURTH INDUSTRIAL REVOLUTION TECHNOLOGIES (2016) — 438 citations