José Alexandre Mello Demattê

Environmental Engineering · 2008–2019

A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 27 citations into it
• Analytical Chemistry — 23 citations into it
• Artificial Intelligence — 13 citations into it
• Statistics and Probability — 13 citations into it

Whom José Alexandre Mello Demattê trusts overall

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

1. R. V. Rossel
2. J. Ross Quinlan
3. Jerome H. Friedman

Papers from José Alexandre Mello Demattê's perspective

Ordered by how strongly the researchers José Alexandre Mello Demattê trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greedy function approximation: A gradient boosting machine.
2. Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana
3. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
4. Influence of the number of samples on prediction error of visible and near infrared spectroscopy of selected soil properties at the farm scale
5. Support Vector Regression Machines
6. Multivariate calibration. (Journal of Chromatography A)
7. Soil parameter quantification by NIRS as a Chemometric challenge at ‘Chimiométrie 2006’
8. Estimating forest soil bulk density using boosted regression modelling
9. Learning With Continuous Classes
10. A Coefficient of Agreement for Nominal Scales

Their papers

• Stratification of a local VIS-NIR-SWIR spectral library by homogeneity criteria yields more accurate soil organic carbon predictions (2019) — 109 citations
• Effects of external factors on soil reflectance measured on-the-go and assessment of potential spectral correction through orthogonalisation and standardisation procedures (2018) — 48 citations
• Digital soil mapping at local scale using a multi-depth Vis–NIR spectral library and terrain attributes (2016) — 51 citations
• Improving the prediction performance of a large tropical vis‐NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques (2014) — 146 citations
• Sampling optimal calibration sets in soil infrared spectroscopy (2014) — 136 citations
• Morphological Interpretation of Reflectance Spectrum (MIRS) using libraries looking towards soil classification (2014) — 59 citations
• Distance and similarity-search metrics for use with soil vis-NIR spectra (2013) — 85 citations
• Optimum size in grid soil sampling for variable rate application in site-specific management (2011) — 70 citations
• Imaging Spectrometry for Soil Applications (2008) — 163 citations