Fast Fitting of Reflectivity Data of Growing Thin Films Using Neural Networks. - Alessandro Greco; Vladimir Starostin; Christos Karapanagiotis; Alexander Hinderhofer; Alexander Gerlach; Linus Pithan; Sascha Liehr; Frank Schreiber; Stefan Kowarik (CoRR, 2019)

Fiber Optic Train Monitoring with Distributed Acoustic Sensing: Conventional and Neural Network Data Analysis. - Stefan Kowarik; Maria-Teresa Hussels; Sebastian Chruscicki; Sven Münzenberger; Andy Lämmerhirt; Patrick Pohl; Max Schubert (Sensors, 2020)

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy. - Florian Fricke; Safdar Mahmood; Javier Hoffmann; Marcelo Brandalero; Sascha Liehr; Simon Kern; Klas Meyer; Stefan Kowarik; Stephan Westerdick; Michael Maiwald; Michael Hübner 001 (DATE, 2021)

Neural network analysis of neutron and x-ray reflectivity data: pathological cases, performance and perspectives. - Alessandro Greco; Vladimir Starostin; Alexander Hinderhofer; Alexander Gerlach; Maximilian W. A. Skoda; Stefan Kowarik; Frank Schreiber (Mach. Learn. Sci. Technol., 2021)

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy Using a Novel Data Augmentation Method. - Florian Fricke; Marcelo Brandalero; Sascha Liehr; Simon Kern; Klas Meyer; Stefan Kowarik; Robin Hierzegger; Stephan Westerdick; Michael Maiwald; Michael Hübner 001 (IEEE Trans. Emerg. Top. Comput., 2022)

Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments. - Linus Pithan; Vladimir Starostin; David Marecek; Lukas Petersdorf; Constantin Völter; Valentin Munteanu; Maciej Jankowski; Oleg Konovalov; Alexander Gerlach; Alexander Hinderhofer; Bridget M. Murphy; Stefan Kowarik; et al. (CoRR, 2023)

Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem. - Valentin Munteanu; Vladimir Starostin; Alessandro Greco; Linus Pithan; Alexander Gerlach; Alexander Hinderhofer; Stefan Kowarik; Frank Schreiber (CoRR, 2023)