Andrea Nathansen

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrea Nathansen trusts overall

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

  1. Douglas A. Reynolds
  2. Diederik P. Kingma

Papers from Andrea Nathansen's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Scikit-learn: Machine Learning in Python
  3. Support-Vector Networks
  4. Random Forests
  5. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  6. Generalized Linear Models
  7. Datasheets for datasets
  8. Statistical Analysis With Missing Data
  9. Classification and regression trees
  10. Efficient and Robust Automated Machine Learning

Their papers