Jean-Michel Roger

Analytical Chemistry · 2003–2020

A researcher in the Science corpus: 12 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Analytical Chemistry — 49 citations into it
• Biophysics — 19 citations into it
• Plant Science — 18 citations into it
• Biomedical Engineering — 16 citations into it
• Artificial Intelligence — 6 citations into it

Whom Jean-Michel Roger trusts overall

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

1. Ron Kohavi
2. Isabelle M Guyon
3. Wouter M. Kouw
4. Tom Fearn
5. Mário César Ugulino de Araújo
6. Andre´ Elisseeff
7. George H. John
8. Johan Trygg
9. Renfu Lu
10. L. Lleó

Who trusts Jean-Michel Roger overall

1. Belén Diezma
2. Puneet Mishra
3. L. Lleó

Papers from Jean-Michel Roger's perspective

Ordered by how strongly the researchers Jean-Michel Roger trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. An Introduction to Variable and Feature Selection
3. Hyperspectral Scattering for assessing Peach Fruit Firmness
4. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
5. Multispectral images of peach related to firmness and maturity at harvest
6. Wrappers for Feature Subset Selection
7. Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
8. Locally Weighted Learning for Control
9. Changes during the ripening of the very late season Spanish peach cultivar Calanda: Feasibility of using CIELAB coordinates as maturity indices
10. Multivariate calibration. (Journal of Chromatography A)

Their papers

• Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes (2004) — 373 citations
• Two standard-free approaches to correct for external influences on near-infrared spectra to make models widely applicable (2020) — 48 citations
• Comparison of locally weighted PLS strategies for regression and discrimination on agronomic NIR data (2020) — 47 citations
• SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials (2020) — 64 citations
• VSN: Variable sorting for normalization (2020) — 97 citations
• Examination of the quality of spinach leaves using hyperspectral imaging (2013) — 69 citations
• CovSel: Variable selection for highly multivariate and multi-response calibration: Application to IR spectroscopy (2011) — 110 citations
• Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening (2011) — 70 citations
• Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy (2010) — 888 citations
• Improving the transfer of near infrared prediction models by orthogonal methods (2009) — 49 citations
• Non-destructive tests on the prediction of apple fruit flesh firmness and soluble solids content on tree and in shelf life (2006) — 281 citations
• Fusion of aroma, FT-IR and UV sensor data based on the Bayesian inference. Application to the discrimination of white grape varieties (2003) — 79 citations