Saeid Homayouni

Ecology · 2020

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 Saeid Homayouni trusts

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

  1. Mahesh Pal (in Ecology)
  2. Christopher K. I. Williams (in Optimization & Training)

Papers from Saeid Homayouni's perspective

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

  1. Support-Vector Networks
  2. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  3. A decision-theoretic generalization of on-line learning and an application to boosting
  4. Investigation of the random forest framework for classification of hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
  5. A new approach for the morphological segmentation of high-resolution satellite imagery (IEEE Transactions on Geoscience and Remote Sensing)
  6. Bias in random forest variable importance measures: Illustrations, sources and a solution
  7. Advances in Spectral-Spatial Classification of Hyperspectral Images (Proceedings of the IEEE)
  8. Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification
  9. Morphological Attribute Profiles for the Analysis of Very High Resolution Images (IEEE Transactions on Geoscience and Remote Sensing)
  10. The WEKA data mining software: an update

Their papers