Follow
maxime metz
maxime metz
PhD student, INRAE
Verified email at inrae.fr
Title
Cited by
Cited by
Year
Comparison of locally weighted PLS strategies for regression and discrimination on agronomic NIR data
M Lesnoff, M Metz, JM Roger
Journal of Chemometrics 34 (5), e3209, 2020
382020
A “big-data” algorithm for KNN-PLS
M Metz, M Lesnoff, F Abdelghafour, R Akbarinia, F Masseglia, JM Roger
Chemometrics and Intelligent Laboratory Systems 203, 104076, 2020
182020
Potential of Multiway PLS (N-PLS) regression method to analyse time-series of multispectral images: A case study in agriculture
E Lopez-Fornieles, G Brunel, F Rancon, B Gaci, M Metz, N Devaux, ...
Remote Sensing 14 (1), 216, 2022
152022
A novel robust PLS regression method inspired from boosting principles: RoBoost-PLSR
M Metz, F Abdelghafour, JM Roger, M Lesnoff
Analytica Chimica Acta 1179, 338823, 2021
142021
Subpixel detection of peanut in wheat flour using a matched subspace detector algorithm and near-infrared hyperspectral imaging
A Laborde, B Jaillais, JM Roger, M Metz, DJR Bouveresse, L Eveleigh, ...
Talanta 216, 120993, 2020
142020
Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring
A Courand, M Metz, D Héran, C Feilhes, F Prezman, E Serrano, ...
Chemometrics and Intelligent Laboratory Systems 221, 104485, 2022
132022
Potential of visible/near infrared spectroscopy coupled with chemometric methods for discriminating and estimating the thickness of clogging in drip-irrigation
J Petit, N Ait-Mouheb, SM García, M Metz, B Molle, R Bendoula
Biosystems Engineering 209, 246-255, 2021
122021
A note on spectral data simulation
M Metz, A Biancolillo, M Lesnoff, JM Roger
Chemometrics and Intelligent Laboratory Systems 200, 103979, 2020
102020
RoBoost-PLS2-R: an extension of RoBoost-PLSR method for multi-response
M Metz, M Ryckewaert, S Mas-Garcia, R Bendoula, P Dardenne, ...
Chemometrics and Intelligent Laboratory Systems 222, 104498, 2022
72022
Combination of multivariate curve resolution with factorial discriminant analysis for the detection of grapevine diseases using hyperspectral imaging. A case study: flavescence …
SM Garcia, M Ryckewaert, F Abdelghafour, M Metz, D Moura, C Feilhes, ...
Analyst 146 (24), 7730-7739, 2021
72021
Response oriented covariates selection (ROCS) for fast block order-and scale-independent variable selection in multi-block scenarios
P Mishra, M Metz, F Marini, A Biancolillo, DN Rutledge
Chemometrics and Intelligent Laboratory Systems 224, 104551, 2022
32022
Massive spectral data analysis for plant breeding using parSketch-PLSDA method: Discrimination of sunflower genotypes
M Ryckewaert, M Metz, D Héran, P George, B Grèzes-Besset, R Akbarinia, ...
Biosystems Engineering 210, 69-77, 2021
32021
Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
M Ryckewaert, D Héran, C Feilhes, F Prezman, E Serrano, A Courand, ...
Data in Brief 46, 108822, 2023
22023
Un algorithme big-data pour la local-PLS
M Metz, M Lesnoff, JM Roger
HélioSPIR, 2019
12019
ChemHouse, a research and development centre for chemometrics
BB Jaillais, M Brandolini-Bunlon, JC Boulet, G Chaix, É Latrille, M Lesnoff, ...
Congrès Analytics 2022, 2022
2022
Combinaison de la Méthode de Résolution Multivariée de Courbes avec la Méthode d’Analyse Discriminante Factorielle pour la Détection des Maladies de la Vigne à l'aide de l …
SM Garcia, M Ryckewaert, F Abdelghafour, M Metz, D Moura, C Feilhes, ...
23 èmes Rencontres HélioSPIR., 2022
2022
Monitoring grape berry maturity by hyperspectral imaging: Potential of robust methods for sugar content prediction
M Ryckewaert, D Heran, M Metz, C Feilhes, F Prezman, E Serrano, ...
2022
ChemHouse: A research and development centre for chemometrics
JC Boulet, M Brandolini-Bunlon, G Chaix, B Jaillais, E Latrille, M Lesnoff, ...
NIR news 32 (7-8), 36-38, 2021
2021
Développement de méthodes chimiométriques pour le traitement des données massives
M Metz
Montpellier SupAgro, 2021
2021
Comparison between ParSketch-PLSDA and PLSDA in a context of large amounts of spectral data for sunflower genotype discrimination
M Ryckewaert, M Metz, B Gaci, A Courand, D Heran, R Bendoula
2021
The system can't perform the operation now. Try again later.
Articles 1–20