Matthias Kaper

IEEE Transactions on Biomedical Engineering · 2004

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Matthias Kaper trusts overall

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

  1. C. Burges
  2. Yann LeCun
  3. K. Müller
  4. Yoshua Bengio
  5. Vladimir Naumovich Vapni
  6. Benjamin Blankertz
  7. Vladimir Bostanov
  8. Polina Golland
  9. Geoffrey E. Hinton

Who trusts Matthias Kaper overall

  1. Eric W. Sellers
  2. Dean J. Krusienski
  3. Brendan Z. Allison
  4. Luis F. Nicolás-Alonso
  5. Fabien Lotte
  6. Jonathan R. Wolpaw
  7. M. Rashid
  8. George Townsend
  9. Matthias Sebastian Treder
  10. Jaime Gómez Gil

Papers from Matthias Kaper's perspective

Ordered by how strongly the researchers Matthias Kaper trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers