Yvan Saeys

Molecular Biology · 2006–2022

A researcher in the Science corpus: 16 papers; trusts 66 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Yvan Saeys trusts overall

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

  1. Isabelle M Guyon
  2. Thomas G. Dietterich
  3. Geoffrey E. Hinton
  4. Ludmila I. Kuncheva
  5. Mark A. Hall
  6. John H. Holland
  7. Igor Kononenko
  8. Alex Krizhevsky
  9. Tomohiro Ando
  10. Jason Aaron Edward Weston

Who trusts Yvan Saeys overall

  1. Marc-André Zöller
  2. Thibault Helleputte
  3. Jundong Li
  4. Verónica Bolón-Canedo
  5. Thomas Abeel
  6. Yun Li
  7. F. Mair
  8. Huan Liu
  9. Jiliang Tang
  10. Cosmin Lazar

Papers from Yvan Saeys's perspective

Ordered by how strongly the researchers Yvan Saeys 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers