Hui Yie Teh

Journal of Big Data · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hui Yie Teh trusts overall

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

  1. John K. Kruschke
  2. Davide Chicco
  3. John Salvatier
  4. Fabian Pedregosa
  5. Thomas V. Wiecki

Papers from Hui Yie Teh's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Bayesian estimation supersedes the t test. (Journal of experimental psychology. General)
  3. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  4. Probabilistic programming in Python using PyMC3
  5. Spatial anomaly detection in sensor networks using neighborhood information
  6. Ten quick tips for machine learning in computational biology
  7. ImageNet classification with deep convolutional neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Going deeper with convolutions

Their papers