Roger Hurwitz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roger Hurwitz trusts

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

  1. Thomas G. Dietterich (in Artificial Intelligence)
  2. Wes McKinney (in Artificial Intelligence)

Papers from Roger Hurwitz's perspective

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

  1. Quality Metrics to Accompany Spike Sorting of Extracellular Signals (Journal of Neuroscience)
  2. Multiple Classifier Systems
  3. Reconstruction and Simulation of Neocortical Microcircuitry. (Cell)
  4. mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models (The R Journal)
  5. Past, present and future of spike sorting techniques (Brain Research Bulletin)
  6. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  7. Data Structures for Statistical Computing in Python
  8. Large-scale recording of neuronal ensembles (Nature Neuroscience)
  9. Using noise signature to optimize spike-sorting and to assess neuronal classification quality. (Journal of Neuroscience Methods)
  10. Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering (Neural Computation)

Their papers