S. D. de Rooij
Artificial Intelligence · 2010–2015
A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #21,943 of 35,345 by trust here, #26,682 by citations
- Statistics and Probability — 16 citations into it; #8,020 of 12,932 by trust here, #7,508 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Graph Learning — 7 citations into it
- Statistical Learning Theory — 7 citations into it
- Management Science and Operations Research — 7 citations into it
- Computer Networks and Communications — 6 citations into it
- Information Systems — 6 citations into it
Whom S. D. de Rooij trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tong Zhang
- Peter D. Grünwald
- Thorsten Joachims
- Christopher K. I. Williams
- Chih-Jen Lin
- Jorma Rissanen
- Yuhong Yang
- Andrew R. Barron
- Nino Shervashidze
- John Shawe-Taylor
Who trusts S. D. de Rooij overall
Papers from S. D. de Rooij's perspective
Ordered by how strongly the researchers S. D. de Rooij 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC–BIC dilemma (2012) — 87 citations
- Insuring against loss of evidence in game-theoretic probability (2010) — 48 citations
- Substructure counting graph kernels for machine learning from RDF data (2015) — 56 citations
- Follow the leader if you can, hedge if you must (2013) — 194 citations