Stefan Leyk

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Leyk trusts overall

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

  1. Heng-Da Cheng
  2. Pothiraj Sivakumar
  3. Forrest R. Stevens
  4. Andrew J. Tatem
  5. Trevor J. Hastie

Papers from Stefan Leyk's perspective

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

  1. Random Forests
  2. Geography and macroeconomics: new data and new findings. (Proceedings of the National Academy of Sciences of the United States of America)
  3. The global distribution and population at risk of malaria: past, present, and future (Lancet. Infectious Diseases (Print))
  4. Spatial prediction of categorical variables: the Bayesian maximum entropy approach
  5. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data (PLoS ONE)
  6. Estimating census district populations from satellite imagery: Some approaches and limitations
  7. Color image segmentation: advances and prospects (Pattern Recognition)
  8. VIIRS night-time lights (Remote Sensing of Night-time Light)
  9. Global trends in emerging infectious diseases (Nature)
  10. Breaking new ground in mapping human settlements from space – The Global Urban Footprint

Their papers