| 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 | 54 | 2023 |
| 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 | 41 | 2019 |
| 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 | 8 | 2019 |
| 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 | 7 | 2023 |
| Analysis of 1D NMR spectra with 2D image processing techniques M Meshkian, N Schmid, A Henrici, S Bruderer Physica Scripta 100 (2), 026011, 2025 | 1 | 2025 |
| A deep learning framework for multiplet splitting classification in 1H NMR G Fischetti, N Schmid, S Bruderer, B Heitmann, A Henrici, A Scarso, ... Journal of Magnetic Resonance, 107851, 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 |
