Luke Anderson-Trocmé

2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Luke Anderson-Trocmé trusts overall

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

  1. L. V. D. van der Maaten
  2. Wentian Li
  3. Geoffrey E. Hinton

Who trusts Luke Anderson-Trocmé overall

  1. Gerry Tonkin-Hill

Papers from Luke Anderson-Trocmé's perspective

Ordered by how strongly the researchers Luke Anderson-Trocmé trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Visualizing Data using t-SNE
  2. Scikit-learn: Machine Learning in Python
  3. Faculty Opinions recommendation of Interpreting principal component analyses of spatial population genetic variation.
  4. SciPy: Open Source Scientific Tools for Python
  5. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  6. PLINK: a tool set for whole-genome association and population-based linkage analyses.
  7. Genes mirror geography within Europe (Nature)
  8. Application of t-SNE to Human Genetic Data
  9. RFMix: a discriminative modeling approach for rapid and robust local-ancestry inference. (American Journal of Human Genetics)
  10. ImageNet classification with deep convolutional neural networks

Their papers