Issue Date | Title | Involved Person(s) |
15-Jun-2024 | Bayesian analysis of 1D 1H-NMR spectra | De Lorenzi, Flavio; Weinmann, Tom; Bruderer, Simon; Heitmann, Björn; Henrici, Andreas; Stingelin, Simon |
11-Jan-2023 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk |
14-Jul-2022 | A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Scarso, Alessandro; Caldarelli, Guido; Heitmann, Björn; Wilhelm, Dirk |
13-Jul-2022 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk |