Sahel Mahdavi

Environmental Engineering · 2018–2020

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

Subfields

Whom Sahel Mahdavi trusts overall

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

  1. Ridha Touzi
  2. John C. Aldrich
  3. Corinna Cortes
  4. Trevor J. Hastie
  5. Leo Breiman
  6. Yuguo Qian
  7. Vladimir Naumovich Vapnik
  8. Mahesh Pal
  9. N. Davidson
  10. Onisimo Mutanga

Papers from Sahel Mahdavi's perspective

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

  1. Random Forests
  2. A kernel functions analysis for support vector machines for land cover classification (International Journal of Applied Earth Observation and Geoinformation)
  3. Support-Vector Networks
  4. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
  5. Random forest classifier for remote sensing classification
  6. R.A. Fisher and the making of maximum likelihood 1912-1922
  7. Google Earth Engine: Planetary-scale geospatial analysis for everyone
  8. High-resolution mapping of global surface water and its long-term changes (Nature)
  9. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
  10. Google Earth Engine Applications Since Inception: Usage, Trends, and Potential (Remote Sensing)

Their papers