Thorsten Behrens
Environmental Engineering · 2010–2018
A researcher in the Science corpus: 9 papers; trusts 10 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 47 citations into it; #1,035 of 5,479 by trust here, #611 by citations
- Artificial Intelligence — 32 citations into it; #12,876 of 35,345 by trust here, #12,387 by citations
- Civil and Structural Engineering — 18 citations into it; #5,146 of 6,160 by trust here, #2,587 by citations
- Statistics and Probability — 17 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Statistical Learning Theory — 7 citations into it
Whom Thorsten Behrens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tin Kam Ho
- Niko Speybroeck
- George Forman
- Ron Kohavi
- George H. John
- Avrim Blum
- R. M. Lark
- Zheng Zhao
- Marina Skurichina
- Leo Breiman
Who trusts Thorsten Behrens overall
- Yones Khaledian
- Alexandre M. J.-C. Wadoux
- Budiman Minasny
- Tomislav Hengl
- A. Jafari
- José Padarian
- André Carnieletto Dotto
- Igor V. Florinsky
- Alex B. McBratney
- Shree R. S. Dangal
Papers from Thorsten Behrens's perspective
Ordered by how strongly the researchers Thorsten Behrens trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Wrappers for Feature Subset Selection
- Irrelevant Features and the Subset Selection Problem
- A General Coefficient of Similarity and Some of Its Properties
- An Extensive Empirical Study of Feature Selection Metrics for Text Classification
- Selection of Relevant Features and Examples in Machine Learning
- Changes in variance and correlation of soil properties with scale and location: analysis using an adapted maximal overlap discrete wavelet transform
- The Nature of Statistical Learning Theory
- Classification and regression trees
- Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
Their papers
- Multiscale contextual spatial modelling with the Gaussian scale space (2018) — 51 citations
- Impacts of species richness on productivity in a large-scale subtropical forest experiment (2018) — 618 citations
- Uncertainty-guided sampling to improve digital soil maps (2017) — 52 citations
- Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping (2016) — 47 citations
- Predictive soil mapping with limited sample data (2015) — 126 citations
- Sampling optimal calibration sets in soil infrared spectroscopy (2014) — 136 citations
- Distance and similarity-search metrics for use with soil vis-NIR spectra (2013) — 85 citations
- Multi-scale digital terrain analysis and feature selection for digital soil mapping (2010) — 295 citations
- Using data mining to model and interpret soil diffuse reflectance spectra. (2010) — 1,151 citations