Julia Ling

Computational Mechanics · with Freund · 2009–2016

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Julia Ling trusts overall

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

  1. Jeremy A. Templeton
  2. Trevor J. Hastie
  3. Karthik Duraisamy
  4. Michele Milano
  5. Fabian Pedregosa
  6. Leo Breiman
  7. Markus Uhlmann

Who trusts Julia Ling overall

  1. Justin A. Sirignano
  2. Jin-Long Wu
  3. Heng Xiao
  4. Konstantinos Spiliopoulos
  5. Steven L. Brunton
  6. Nicholas Geneva
  7. T. Bolton
  8. Anand Pratap Singh
  9. Ricardo Vinuesa
  10. Ameya Dilip Jagtap

Papers from Julia Ling's perspective

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

  1. Large-Scale Video Classification with Convolutional Neural Networks
  2. Random Forests
  3. Scikit-learn: Machine Learning in Python
  4. ImageNet classification with deep convolutional neural networks
  5. A paradigm for data-driven predictive modeling using field inversion and machine learning
  6. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
  7. An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows (Journal of Fluid Mechanics)
  8. Neural network modeling for near wall turbulent flow
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers