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Nicolas Schmid
Nicolas Schmid
Ph.D. Student at University of Zurich (UZH) and Zurich University of Applied Sciences (ZHAW)
Verified email at zhaw.ch - Homepage
Title
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Cited by
Year
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
512023
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
402019
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
52023
Analysis of 1D NMR spectra with 2D image processing techniques
M Meshkian, N Schmid, A Henrici, S Bruderer
Physica Scripta 100 (2), 026011, 2025
2025
A simulation study on energy optimization in building control with reinforcement learning
P Bolt, V Ziebart, C Jaeger, N Schmid, T Stadelmann, RM Füchslin
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 320-331, 2024
2024
Automated spin system analysis in NMR spectroscopy with SpinDETR: a deep learning approach
N Schmid, M Wanner, G Fischetti, M Meshkian, S Bruderer, A Henrici, ...
20th European Magnetic Resonance Congress (EUROMAR), Bilbao, Spain, 30 June …, 2024
2024
MuSe Net: a deep learning framework for trustworthy multiplet segmentation in 1D 1H NMR spectra
G Fischetti, N Schmid, S Bruderer, A Henrici, B Heitmann, A Scarso, ...
20th European Magnetic Resonance Congress (EUROMAR), Bilbao, Spain, 30 June …, 2024
2024
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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