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ORCIDMax Schüssler
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- affiliation: University of Siegen, Department of Mechanical Engineering, Siegen, Nordrhein-Westfalen, Germany
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2020 – today
- 2024
[j4]Marieke M. van Buchem
, Anne A. H. de Hond, Claudio Fanconi, Vaibhavi B. Shah, Max Schüssler, Ilse M. J. Kant, Ewout W. Steyerberg, Tina Hernandez-Boussard:
Applying natural language processing to patient messages to identify depression concerns in cancer patients. J. Am. Medical Informatics Assoc. 31(10): 2255-2262 (2024)- [c5]Hermann Klein, Max Schüssler, Oliver Nelles:
Physical-Inspired State Space Structure for Nonlinear Gray-Box Modeling. CoDIT 2024: 2609-2614 - 2022
- [b1]Max Schüssler:
Machine learning with nonlinear state space models (Maschinelles Lernen mit Nichtlinearen Zustandsraummodellen). Siegen University, Germany, 2022 - [j3]Max Schüssler:
Machine learning with nonlinear state space models. Autom. 70(11): 1027-1028 (2022) - [c4]Volker Smits, Max Schüssler, Geritt Kampmann, Christopher Illg, Tim Decker, Oliver Nelles:
Excitation Signal Design and Modeling Benchmark of NOx Emissions of a Diesel Engine. CCTA 2022: 907-912 - 2021
- [j2]Timm J. Peter, Max Schüssler, Daniel Rüschen, Oliver Nelles:
Identification of a potable water system. Autom. 69(10): 870-879 (2021) - [j1]Max Schüssler, Oliver Nelles:
Optimization Approaches for Nonlinear State Space Models. IEEE Control. Syst. Lett. 5(4): 1375-1380 (2021) - [c3]Max Schüssler, Oliver Nelles:
Optimization Approaches for Nonlinear State Space Models. ACC 2021: 3933-3938
2010 – 2019
- 2019
- [c2]Max Schüssler, Tobias Münker, Oliver Nelles:
Local Model Networks for the Identification of Nonlinear State Space Models. CDC 2019: 6437-6442 - [c1]Max Schüssler, Tobias Münker, Oliver Nelles:
Deep Recurrent Neural Networks for Nonlinear System Identification. SSCI 2019: 448-454
Coauthor Index
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