Moritz Kassner

UbiComp Adjunct · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Moritz Kassner trusts overall

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

  1. John F. Canny

Who trusts Moritz Kassner overall

  1. Mark Zolotas
  2. Tobias Fischer
  3. Yiannis Demiris
  4. Xucong Zhang
  5. Benjamin A. Newman
  6. Hyung Jin Chang
  7. Yusuke Sugano
  8. Reuben M. Aronson

Papers from Moritz Kassner's perspective

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

  1. SciPy: Open Source Scientific Tools for Python
  2. A Computational Approach to Edge Detection
  3. ZeroMQ: Messaging for Many Applications
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Layer Normalization
  10. ImageNet: A large-scale hierarchical image database

Their papers