maxime metz

Employment

• Irstea Centre de Montpellier phD student
  2018 - 2021
• Pellenc ST

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Rethinking local spectral modelling: From per-query refitting to model libraries
  Analytica Chimica Acta 2026 DOI: 10.1016/j.aca.2026.345682
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• Simple methods for uncertainty estimation in neural networks applied to spectral data processing: A case study on mango dry matter prediction
  Chemometrics and Intelligent Laboratory Systems 2025 DOI: 10.1016/j.chemolab.2025.105532
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• Developing a Local RoBoost PLS Framework
  2023
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• DEEP LEARNING COMBINED WITH EXPERIMENTAL DESIGN TO LIMIT DEPENDENCE ON ANNOTATED DATA
  colloquium chemometricum mediterraneum 2023
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• Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage
  Data in Brief 2023 DOI: 10.1016/j.dib.2022.108822
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• Response oriented covariates selection (ROCS) for fast block order- and scale-independent variable selection in multi-block scenarios
  Chemometrics and Intelligent Laboratory Systems 2022 DOI: 10.1016/j.chemolab.2022.104551
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• RoBoost-PLS2-R: An extension of RoBoost-PLSR method for multi-response
  Chemometrics and Intelligent Laboratory Systems 2022 DOI: 10.1016/j.chemolab.2022.104498
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• Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring
  Chemometrics and Intelligent Laboratory Systems 2022 DOI: 10.1016/j.chemolab.2021.104485
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• Potential of Multiway PLS (N-PLS) Regression Method to Analyse Time-Series of Multispectral Images: A Case Study in Agriculture
  Remote Sensing 2022 DOI: 10.3390/rs14010216
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• ChemHouse: A research and development centre for chemometrics
  NIR news 2021 DOI: 10.1177/09603360211059284
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