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Simon Müller
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2020 – today
- 2024
- [c10]Emily Schiller, Simon Müller, Kathrin Ebertsch, Jan-Philipp Steghöfer:
No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity. DSAA 2024: 1-10 - 2022
- [c9]Peter Knebel, Christian Appold, Marius Horbach, Yasmin Juncker, Rüdiger Machhamer, Simon Müller, Alfons Matheis:
An Artificial Intelligence of Things based Method for Early Detection of Bark Beetle Infested Trees. EnviroInfo 2022: 111-122 - [c8]Marco Stang, Simon Stock
, Simon Müller, Eric Sax, Wilhelm Stork:
Development of a self-learning automotive comfort function: an adaptive gesture control with few-shot-learning. ICCVE 2022: 1-8 - 2020
- [c7]Eike Osmers, Emily Wilbrand, Thorsten A. Brinkmann, Simon Müller, Andreas R. Diewald:
Closing the Theory-Practice Gap: Psychologically-Based Laboratory Course in Electrical Engineering. EDUCON 2020: 925-930
2010 – 2019
- 2019
- [j4]Simon Müller
Flexible heuristic algorithm for automatic molecule fragmentation: application to the UNIFAC group contribution model. J. Cheminformatics 11(1): 57:1-57:12 (2019) - [j3]Salma Kuhlmann, Simon Müller:
Compatibility of Quasi-Orderings and Valuations: A Baer-Krull Theorem for Quasi-Ordered Rings. Order 36(2): 249-269 (2019) - [j2]Karolin Schreiter
A Flight Simulator Study of an Energy Control System for Manual Flight. IEEE Trans. Hum. Mach. Syst. 49(6): 672-683 (2019) - 2017
- [c6]Simon Müller, Tobias Huonder, Jan Deriu, Mark Cieliebak:
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision. SemEval@ACL 2017: 766-770 - [c5]Markus Böhm, Jörg Weking, Frank Fortunat, Simon Müller, Isabell M. Welpe, Helmut Krcmar:
The Business Model DNA: Towards an Approach for Predicting Business Model Success. Wirtschaftsinformatik 2017 - [c4]Jan Deriu
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. WWW 2017: 1045-1052 - [i1]Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi:
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. CoRR abs/1703.02504 (2017) - 2013
- [c3]Christian Brecher, Simon Müller, Sinem Kuz, Wolfram Lohse:
Towards Anthropomorphic Movements for Industrial Robots. HCI (23) 2013: 10-19 - [c2]Sinem Kuz, Marcel Ph. Mayer, Simon Müller, Christopher M. Schlick:
Using Anthropomorphism to Improve the Human-Machine Interaction in Industrial Environments (Part I). HCI (23) 2013: 76-85 - 2012
- [j1]Christian Brecher, Thomas Breitbach, Simon Müller, Marcel Ph. Mayer, Barbara Odenthal, Christopher M. Schlick, Werner Herfs:
3D Assembly Group Analysis for Cognitive Automation. J. Robotics 2012: 375642:1-375642:18 (2012)
2000 – 2009
- 2008
- [c1]Max F. K. Happel, Simon Müller, Jörn Anemüller, Frank W. Ohl:
Predictability of STRFs in auditory cortex neurons depends on stimulus class. INTERSPEECH 2008: 670
Coauthor Index
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