M. Kilibarda
PLoS ONE · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom M. Kilibarda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Nicolai Meinshausen
- Trevor J. Hastie
- Yali Amit
- Tomislav Hengl
- Spyros Makridakis
- Gareth M. James
Who trusts M. Kilibarda overall
Papers from M. Kilibarda's perspective
Ordered by how strongly the researchers M. Kilibarda trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Random Forests
- Shape Quantization and Recognition with Randomized Trees
- Geostatistics for Natural Resources Evaluation
- Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (PeerJ)
- Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation (Environmental Modelling & Software)
- Statistical and Machine Learning forecasting methods: Concerns and ways forward
- An Introduction to Statistical Learning
- Estimation or simulation of soil properties? An optimization problem with conflicting criteria
- Applied Spatial Data Analysis with R - Second Edition (Use R!)
Their papers
- Random Forest Spatial Interpolation (2020) — 303 citations
- SoilGrids250m: Global gridded soil information based on machine learning (2017) — 3,747 citations