Ulf Großekathöfer

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 Ulf Großekathöfer trusts overall

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

  1. C. Burges
  2. Yann LeCun

Who trusts Ulf Großekathöfer overall

  1. Eric W. Sellers
  2. Dean J. Krusienski

Papers from Ulf Großekathöfer's perspective

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

  1. The Nature of Statistical Learning Theory
  2. A Tutorial on Support Vector Machines for Pattern Recognition
  3. Pattern Recognition and Neural Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  6. Gradient-based learning applied to document recognition
  7. An introduction to kernel-based learning algorithms
  8. ImageNet classification with deep convolutional neural networks
  9. BCI competition 2003-data sets Ib and IIb: feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram (IEEE Transactions on Biomedical Engineering)
  10. The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials (IEEE Transactions on Biomedical Engineering)

Their papers