Hendrik Zender

Artificial Intelligence · 2003–2017

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hendrik Zender trusts overall

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

  1. David G. Lowe
  2. Robert E. Schapire
  3. Benjamin Kuipers
  4. Kevin Leyton-Brown
  5. David R. Traum
  6. Nicholas Asher
  7. Yoav Shoham
  8. Dirk Schulz

Who trusts Hendrik Zender overall

  1. Holger H. Hoos
  2. Lin Xu
  3. Frank Hutter
  4. K. Smith‐Miles
  5. Kevin Leyton-Brown
  6. Mustafa Misir
  7. Ioannis Kostavelis
  8. Matthew R. Walter
  9. Sachithra Hemachandra
  10. Guillaume Bresson

Papers from Hendrik Zender's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. The Strength of Weak Learnability
  3. Gradient-based learning applied to document recognition
  4. Et al
  5. ImageNet classification with deep convolutional neural networks
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Going deeper with convolutions
  8. Towards a universal test suite for combinatorial auction algorithms (ACM Conference on Economics and Computation)
  9. An algorithm for the selection problem
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers