York Sure-Vetter

Artificial Intelligence · 2001–2007

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom York Sure-Vetter trusts overall

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

  1. Risi Kondor
  2. Bernhard Schölkopf
  3. Nello Cristianini
  4. John Shawe-Taylor
  5. Hong Hai Do
  6. Sean Bechhofer
  7. Alex Smola
  8. Huma Mahmood Lodhi
  9. Thorsten Joachims
  10. Natasha Noy

Who trusts York Sure-Vetter overall

  1. Petar Ristoski
  2. H. Sofia Pinto
  3. Gerben de Vries
  4. Jérôme Euzenat
  5. Heiko Paulheim
  6. Lorena Otero-Cerdeira
  7. Giorgos Stoilos
  8. Aditya Kalyanpur
  9. João Pavão Martins
  10. Michael Sejr Schlichtkrull

Papers from York Sure-Vetter's perspective

Ordered by how strongly the researchers York Sure-Vetter trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  5. Convolution kernels on discrete structures
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers