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maxime metz
maxime metz
PhD student, INRAE
Adresse e-mail validée de inrae.fr
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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
142022
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
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