D. de Ridder

Molecular Biology · 2002–2018

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom D. de Ridder trusts overall

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

  1. Erkki Oja
  2. Kunihiko Fukushima
  3. Claus Nebauer
  4. John G. Daugman
  5. Pierre Baldi
  6. Yoshua Bengio
  7. Teuvo Kohonen
  8. Patrice Y. Simard
  9. John J. Hopfield
  10. Steve Lawrence

Who trusts D. de Ridder overall

  1. Juan B. Mena
  2. Viren Jain
  3. Srinivas C. Turaga
  4. Benoît Frénay
  5. Philipp Rentzsch
  6. D. Lorente
  7. G. Handelman
  8. Charles Bouveyron

Papers from D. de Ridder's perspective

Ordered by how strongly the researchers D. de Ridder 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. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning internal representations by error propagation
  9. Learning long-term dependencies with gradient descent is difficult
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers