Peter B. Barker

Journal of Magnetic Resonance Imaging · 2010–2019

A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Peter B. Barker's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  4. Pattern Recognition and Machine Learning
  5. Algorithms for Hyper-Parameter Optimization
  6. Automatic quantitation of localized in vivo 1H spectra with LCModel (NMR in Biomedicine)
  7. A Taxonomy of Global Optimization Methods Based on Response Surfaces
  8. Learning the speech front-end with raw waveform CLDNNs
  9. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control (Journal of Neuroscience)
  10. A systematic study of the class imbalance problem in convolutional neural networks

Their papers