Elfatih M. Abdel-Rahman
Ecology · 2013–2015
A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 36 citations into it; #8,111 of 10,717 by trust here, #8,434 by citations
- Artificial Intelligence — 17 citations into it
- Media Technology — 16 citations into it; #3,057 of 3,621 by trust here, #3,192 by citations
- Environmental Engineering — 14 citations into it
- Plant Science — 14 citations into it
- Atmospheric Science — 13 citations into it; #3,861 of 4,804 by trust here, #4,290 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Statistics and Probability — 11 citations into it
Whom Elfatih M. Abdel-Rahman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ron Kohavi
- Mahesh Pal
- Trevor J. Hastie
- Isabelle M Guyon
- Moses Azong Cho
- Anantha M. Prasad
- Rick L. Lawrence
- Leo Breiman
- Jerome H. Friedman
- Duli Zhao
Who trusts Elfatih M. Abdel-Rahman overall
Papers from Elfatih M. Abdel-Rahman's perspective
Ordered by how strongly the researchers Elfatih M. Abdel-Rahman trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- The Nature of Statistical Learning Theory
- Support-Vector Networks
- Bagging Predictors
- An Introduction to Variable and Feature Selection
- Stochastic gradient boosting
- A decision-theoretic generalization of on-line learning and an application to boosting
- Experiments with a New Boosting Algorithm
- Wrappers for Feature Subset Selection
- A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Their papers
- Predicting Eucalyptus spp. stand volume in Zululand, South Africa: an analysis using a stochastic gradient boosting regression ensemble with multi-source data sets (2015) — 59 citations
- A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data (2014) — 94 citations
- Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers (2014) — 421 citations
- Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data (2013) — 219 citations