Paola Vera-Licona

Molecular Biology · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paola Vera-Licona trusts overall

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

  1. Nir Friedman
  2. Francis R. Bach
  3. David Ruppert
  4. Nicolai Meinshausen
  5. Florian Markowetz

Papers from Paola Vera-Licona's perspective

Ordered by how strongly the researchers Paola Vera-Licona trusts endorse each paper. Same corpus, a different order for every researcher.

  1. High-dimensional graphs and variable selection with the Lasso
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
  4. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Online Learning for Matrix Factorization and Sparse Coding
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Bolasso: model consistent Lasso estimation through the bootstrap
  10. Applied Linear Regression (Technometrics)

Their papers