Daniel Gerlich

Molecular Biology · 2003–2019

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Gerlich trusts overall

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

  1. Radford M. Neal
  2. Jerome H. Friedman
  3. Vladimir Naumovich Vapni
  4. Ron Kohavi
  5. David Ruppert
  6. Pedro M. Domingos
  7. Thouis Raymond Jones
  8. Michael V. Boland
  9. L. V. D. van der Maaten
  10. Anne E Carpenter

Who trusts Daniel Gerlich overall

  1. Andrey Kan
  2. Oren Z. Kraus
  3. Juan C. Caicedo
  4. Ilya Belevich
  5. Brendan J. Frey

Papers from Daniel Gerlich's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. The Nature of Statistical Learning Theory
  3. Random Forests
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Pattern Recognition and Machine Learning
  7. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  8. A decision-theoretic generalization of on-line learning and an application to boosting
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. A tutorial on hidden Markov models and selected applications in speech recognition

Their papers