Peter R. Rijnbeek
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 61 citations into it; #25,786 of 35,345 by trust here, #23,731 by citations
- Safety, Robustness & Interpretability — 41 citations into it
- Health Informatics — 11 citations into it
- Safety Research — 9 citations into it
- Algorithms & Complexity — 7 citations into it; #411 of 516 by trust here, #380 by citations
- Statistics and Probability — 7 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Peter R. Rijnbeek 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
- Jaka Demsar
- Charles Peter Elkan
- Xiaoxin Yin
- Eibe Frank
- Ulrich Rückert
Who trusts Peter R. Rijnbeek overall
Papers from Peter R. Rijnbeek's perspective
Ordered by how strongly the researchers Peter R. Rijnbeek trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- 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
- Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers (2015) — 1,262 citations