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Stefan Reitmann
Stefan Reitmann
Verified email at informatik.tu-freiberg.de
Title
Cited by
Cited by
Year
Machine learning approach to predict aircraft boarding
M Schultz, S Reitmann
Transportation Research Part C: Emerging Technologies 98, 391-408, 2019
462019
Advanced quantification of weather impact on air traffic management
S Reitmann, S Alam, M Schultz
ATM Seminar, 20-30, 2019
242019
Blainder—a blender ai add-on for generation of semantically labeled depth-sensing data
S Reitmann, L Neumann, B Jung
Sensors 21 (6), 2144, 2021
202021
Predictive classification and understanding of weather impact on airport performance through machine learning
M Schultz, S Reitmann, S Alam
Transportation Research Part C: Emerging Technologies 131, 103119, 2021
172021
Prediction of aircraft boarding time using LSTM network
M Schultz, S Reitmann
2018 Winter Simulation Conference (WSC), 2330-2341, 2018
162018
Computation of air traffic flow management performance with long short-term memories considering weather impact
S Reitmann, M Schultz
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
122018
Applying bidirectional long short-term memories (BLSTM) to performance data in air traffic management for system identification
S Reitmann, K Nachtigall
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
122017
Classification of weather impacts on airport operations
M Schultz, S Reitmann, S Alam
2019 Winter Simulation Conference (WSC), 500-511, 2019
92019
Performance benchmarking in interdependent ATM systems
S Reitmann, A Gillissen, M Schultz
Proceedings of the 7th International Conference for Research in Air …, 2016
82016
Consideration of passenger interactions for the prediction of aircraft boarding time
M Schultz, S Reitmann
Aerospace 5 (4), 101, 2018
52018
Classification of point clouds with neural networks and continuum-type memories
S Reitmann, EV Kudryashova, B Jung, V Reitmann
Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 …, 2021
42021
Prediction of passenger boarding progress using neural network approach
M Schultz, S Reitmann
8th International Conference for Research in Air Transportation (ICRAT), 2018
32018
Artificial data analysis in air traffic management
S Reitmann, M Schultz
CEAS Aeronautical Journal, 2018
32018
Ableitung eines mathematischen Wirkungsmodells durch systematische Analyse von Leistungsindikatoren
S Reitmann
32017
Developing Generic Flight Schedules for Airport Clusters
P Bießlich, S Reitmann, V Gollnick, K Lütjens, K Nachtigall, S Marx
5th CEAS Air and Space Conference, 2015
32015
Generating Synthetic Labeled Data of Animated Fish Swarms in 3D Worlds with Particle Systems and Virtual Sound Wave Sensors
S Reitmann, B Jung
Cyber-Physical Systems and Control II, 131-140, 2023
12023
Integration of Open Geodata into Virtual Worlds
F Richter, S Reitmann, B Jung
Proceedings of the 6th International Conference on Virtual and Augmented …, 2022
12022
An Adaptive Framework for Optimization and Prediction of Air Traffic Management (Sub-) Systems with Machine Learning
S Reitmann, M Schultz
Aerospace 9 (2), 77, 2022
12022
Observation stability and convergence for neural-type evolutionary variational inequalities
S Reitmann, B Jung, EV Kudryashova, V Reitmann
Differ. Uravn. Protsessy Upr, 126-155, 2021
12021
RoBiMo--The tasks of scientific divers for robot-assisted fresh-water monitoring.
S Pose, S Reitmann, G Licht, T Grab, T Fieback
FOG-Freiberg Online Geoscience 58, 2021
12021
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