Martin Granzow

Molecular Biology · 2003

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Granzow trusts overall

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

  1. David E. Heckerman
  2. Gregory F. Cooper
  3. David Ruppert
  4. Finn Verner Jensen
  5. Yann LeCun
  6. K. Y. Yeung
  7. Trevor J. Hastie
  8. Nir Friedman
  9. Robert Tibshirani

Papers from Martin Granzow's perspective

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

  1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  2. Information Theory: 1948-1998 - Guest Editorial
  3. Pattern Recognition and Neural Networks
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. A Tutorial on Learning with Bayesian Networks
  6. Learning Bayesian Networks with Local Structure
  7. ImageNet classification with deep convolutional neural networks
  8. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers