Chris Hinrichs

Statistics and Probability · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Hinrichs trusts overall

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

  1. John Ashburner
  2. Radford M. Neal
  3. Florent Benaych-Georges
  4. Jeffrey T. Leek
  5. J. Li
  6. Sören Sonnenburg
  7. John D. Storey
  8. Prashanthi Vemuri
  9. Raj Rao Nadakuditi
  10. L. Ji

Who trusts Chris Hinrichs overall

  1. Heung-Il Suk
  2. Dinggang Shen
  3. Daoqiang Zhang
  4. Seong-Whan Lee
  5. Jun Shi
  6. Katherine R. Gray
  7. Vamsi Krishna Ithapu
  8. Daniel Lemire
  9. Xiao Zheng
  10. Paul Aljabar

Papers from Chris Hinrichs's perspective

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

  1. Pattern Recognition and Machine Learning
  2. Learning with Kernels
  3. A fast diffeomorphic image registration algorithm (NeuroImage)
  4. Large Scale Multiple Kernel Learning
  5. 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease. (Brain : a journal of neurology)
  6. A general framework for multiple testing dependence
  7. Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification
  8. The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices
  9. Cortical midline structures and the self. (Trends in Cognitive Sciences)
  10. Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer's disease. (Proceedings of the National Academy of Sciences of the United States of America)

Their papers