A. P. Vorozhtsov, P. V. Kitina, “Contrastive representation learning for spectroscopy data analysis”, Mendeleev Commun., 34:6 (2024), 786

Communications

Contrastive representation learning for spectroscopy data analysis

A. P. Vorozhtsov, P. V. Kitina

Department of Fundamental Physical and Chemical Engineering, M.V. Lomonosov Moscow State University, Moscow, Russian Federation

Аннотация: Metric-based representation learning showed good accuracy in identifying objects from one-dimensional spectroscopy data, robustness to small dataset size and the ability to change the data domain without fine-tuning.

Ключевые слова: spectroscopy, machine learning, representation learning, neural network, metric learning, spectra analysis.

Язык публикации: английский

DOI: 10.1016/j.mencom.2024.10.006

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