Ian W. McBrearty

Journal of Geophysical Research - Solid Earth · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ian W. McBrearty trusts overall

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

  1. Radford M. Neal
  2. David Martin Ward Powers
  3. Roger Fletcher
  4. Douglas A. Reynolds
  5. Haim Henri Permuter

Papers from Ian W. McBrearty's perspective

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

  1. Practical Methods of Optimization: Fletcher/Practical Methods of Optimization
  2. Pattern Recognition and Machine Learning
  3. On robust estimation of the location parameter
  4. Earthquake detection through computationally efficient similarity search (Science Advances)
  5. Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking (Nature Communications)
  6. Robust text-independent speaker identification using Gaussian mixture speaker models
  7. A study of Gaussian mixture models of color and texture features for image classification and segmentation (Pattern Recognition)
  8. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
  9. Generalized Seismic Phase Detection with Deep Learning (Bulletin of The Seismological Society of America (BSSA))
  10. PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method (Geophysical Journal International)

Their papers