Oznur Tastan

Molecular Biology · 2010

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

Subfields

Whom Oznur Tastan trusts overall

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

  1. Benjamin A. Shoemaker
  2. Rie Kubota Ando
  3. Asa Ben-Hur
  4. Jason Aaron Edward Weston
  5. Trevor J. Hastie
  6. Kevin Bleakley

Who trusts Oznur Tastan overall

  1. Yu Zhang

Papers from Oznur Tastan's perspective

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

  1. Multitask Learning
  2. Random Forests
  3. A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
  4. Deep learning via semi-supervised embedding
  5. ImageNet classification with deep convolutional neural networks
  6. Comparative assessment of large-scale data sets of protein–protein interactions (Nature)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Kernel methods for predicting protein-protein interactions (Intelligent Systems in Molecular Biology)
  9. Gradient-based learning applied to document recognition
  10. Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)

Their papers