Andreas W. Kempa-Liehr

Neurocomputing · with Braun · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Andreas W. Kempa-Liehr trusts overall

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

  1. John K. Kruschke
  2. Davide Chicco
  3. John Salvatier

Papers from Andreas W. Kempa-Liehr's perspective

Ordered by how strongly the researchers Andreas W. Kempa-Liehr 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. Adaptive Mixtures of Local Experts
  9. Large Scale Distributed Deep Networks
  10. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Their papers