Georg Fischer

2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Georg Fischer trusts overall

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

  1. William W. Cohen
  2. Usama M. Fayyad
  3. Luis M. Ibarra Candanedo

Papers from Georg Fischer's perspective

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

  1. Fast Effective Rule Induction
  2. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
  3. Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models
  4. Data Mining: Practical Machine Learning Tools and Techniques, 3/E
  5. ImageNet: A large-scale hierarchical image database
  6. Adaptive Mixtures of Local Experts
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. The Strength of Weak Learnability
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers