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Nicolas Schmid
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Controller tuning by Bayesian optimization an application to a heat pump
M Khosravi, A Eichler, N Schmid, RS Smith, P Heer
2019 18th European Control Conference (ECC), 1467-1472, 2019
372019
Deconvolution of 1D NMR spectra: A deep learning-based approach
N Schmid, S Bruderer, F Paruzzo, G Fischetti, G Toscano, D Graf, M Fey, ...
Journal of Magnetic Resonance 347, 107357, 2023
282023
Machine learning-based modeling and controller tuning of a heat pump
M Khosravi, N Schmid, A Eichler, P Heer, RS Smith
Journal of Physics: Conference Series 1343 (1), 012065, 2019
82019
Automatic classification of signal regions in 1H Nuclear Magnetic Resonance spectra
G Fischetti, N Schmid, S Bruderer, G Caldarelli, A Scarso, A Henrici, ...
Frontiers in Artificial Intelligence 5, 1116416, 2023
2023
Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra
G Fischetti, N Schmid, A Henrici, D Wilhelm, S Bruderer, B Heitmann, ...
European Conference on Magnetic Resonance (EUROMAR), Glasgow, United Kingdom …, 2023
2023
Transforming NMR spectroscopy: extraction of multiplet parameters with deep learning
N Schmid, G Fischetti, A Henrici, D Wilhelm, M Wanner, M Meshkian, ...
European Conference on Magnetic Resonance (EUROMAR), Utrecht, The …, 2023
2023
A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra
G Fischetti, N Schmid, S Bruderer, F Paruzzo, G Toscano, D Graf, M Fey, ...
European Conference on Magnetic Resonance (EUROMAR), Utrecht, The …, 2022
2022
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