Trustworthy, reproducible ML for Raman spectroscopy: classification, quantification, uncertainty (conformal prediction), open-set/OOD rejection, calibration transfer, and domain-shift-aware evaluation on open data.
machine-learning deep-learning scikit-learn pytorch gan resnet uncertainty-quantification spectroscopy data-augmentation chemometrics conformal-prediction explainable-ai self-supervised-learning raman-spectroscopy out-of-distribution diffusion-models 1d-cnn domain-shift calibration-transfer bacteria-identification
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Updated
Jun 2, 2026 - Python