Andrew Thomas Hudak
Artificial Intelligence · 2005–2018
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Andrew Thomas Hudak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aapo Hyvärinen
- J. Ohmann
- A. R. Stage
- Hector Franco-Lopez
- Trevor J. Hastie
- Clayton V. Deutsch
- N. Crookston
- Erkki Oja
- Matthew J. Gregory
- Matti Maltamo
Who trusts Andrew Thomas Hudak overall
- Hooman Latifi
- Xiaoye Liu
- Petteri Packalen
- Daniel O. McInerney
- Arne Nothdurft
- Johannes Breidenbach
- Barbara Koch
- M. Sumnall
- Peter Wolter
- Jonathan P. Dandois
Papers from Andrew Thomas Hudak's perspective
Ordered by how strongly the researchers Andrew Thomas Hudak trusts endorse each paper. Same corpus, a different order for every researcher.
- Predictive mapping of forest composition and structure with direct gradient analysis and nearest- neighbor imputation in coastal Oregon, U.S.A.
- Random Forests
- An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon
- Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data
- Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions
- Geostatistical Reservoir Modeling
- Classification and Regression by randomForest
- Imputing tree-lists from aerial attributes for complex stands of south-eastern British Columbia
- Geostatistical Interpolation of Positively Skewed and Censored Data in a Dioxin-Contaminated Site
- Independent component analysis: algorithms and applications
Their papers
- Improving Individual Tree Crown Delineation and Attributes Estimation of Tropical Forests Using Airborne LiDAR Data (2018) — 63 citations
- Individual tree detection from Unmanned Aerial Vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest (2017) — 356 citations
- Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data (2008) — 466 citations
- A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments (2007) — 363 citations
- Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest. (2005) — 124 citations