Taïs Grippa

2019

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

Whom Taïs Grippa trusts overall

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

1. Luc Anselin

Papers from Taïs Grippa's perspective

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

1. Random Forests
2. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data (PLoS ONE)
3. Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (PeerJ)
4. Lagrange Multiplier Test Diagnostics for Spatial Dependence and Spatial Heterogeneity
5. Random forest classifier for remote sensing classification
6. VSURF: An R Package for Variable Selection Using Random Forests (The R Journal)
7. Bagging Predictors
8. Classification and Regression by randomForest
9. Relative Importance for Linear Regression in R: The Package relaimpo
10. Extremely randomized trees

Their papers

• Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling (2019) — 391 citations