Jan A. Kors
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 6 papers; trusts 31 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #21,516 of 35,345 by trust here, #12,974 by citations
- Safety, Robustness & Interpretability — 41 citations into it
- Molecular Biology — 28 citations into it
- Computational Theory and Mathematics — 14 citations into it; #8,869 of 12,182 by trust here, #3,796 by citations
- Health Informatics — 12 citations into it; #181 of 240 by trust here, #112 by citations
- Statistics and Probability — 11 citations into it
- Safety Research — 9 citations into it
- Algorithms & Complexity — 7 citations into it; #410 of 516 by trust here, #380 by citations
Whom Jan A. Kors trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Peter Clark
- William W. Cohen
- Pedro M. Domingos
- Robert Craig Holte
- Charles Peter Elkan
- Jaka Demsar
- Brent Daniel Mittelstadt
- Tong Wang
- R. Dennis Cook
Who trusts Jan A. Kors overall
Papers from Jan A. Kors's perspective
Ordered by how strongly the researchers Jan A. Kors trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The CHEMDNER corpus of chemicals and drugs and its annotation principles (2015) — 444 citations
- Finding a short and accurate decision rule in disjunctive normal form by exhaustive search (2010) — 38 citations
- The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies (2020) — 686 citations
- Natural Language Processing in Radiology: A Systematic Review. (2016) — 515 citations
- Ambiguity of non-systematic chemical identifiers within and between small-molecule databases (2015) — 18 citations
- Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. (2006) — 1,962 citations