| Machine learning approach to predict aircraft boarding M Schultz, S Reitmann Transportation Research Part C: Emerging Technologies 98, 391-408, 2019 | 31 | 2019 |
| Prediction of aircraft boarding time using LSTM network M Schultz, S Reitmann 2018 Winter Simulation Conference (WSC), 2330-2341, 2018 | 14 | 2018 |
| Applying bidirectional long short-term memories (BLSTM) to performance data in air traffic management for system identification S Reitmann, K Nachtigall International Conference on Artificial Neural Networks, 528-536, 2017 | 11 | 2017 |
| Advanced quantification of weather impact on air traffic management S Reitmann, S Alam, M Schultz ATM Seminar, 2019 | 9 | 2019 |
| Computation of air traffic flow management performance with long short-term memories considering weather impact S Reitmann, M Schultz International Conference on Artificial Neural Networks, 532-541, 2018 | 8 | 2018 |
| Performance benchmarking in interdependent ATM systems S Reitmann, A Gillissen, M Schultz Proceedings of the 7th International Conference for Research in Air …, 2016 | 7 | 2016 |
| Classification of weather impacts on airport operations M Schultz, S Reitmann, S Alam 2019 Winter Simulation Conference (WSC), 500-511, 2019 | 6 | 2019 |
| Advanced quantification of weather impact on air traffic management-intelligent weather categorization with machine learning S Reitmann, S Alam, M Schultz 13th USA/Europe ATM R&D Seminar, 2017 | 6 | 2017 |
| 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 | 5 | 2021 |
| 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 | 3 | 2021 |
| Consideration of Passenger Interactions for the Prediction of Aircraft Boarding Time M Schultz, S Reitmann Aerospace 5 (4), 101, 2018 | 3 | 2018 |
| Artificial Data Analysis in Air Traffic Management S Reitmann, M Schultz CEAS Aeronautical Journal, 2018 | 3 | 2018 |
| Ableitung eines mathematischen Wirkungsmodells durch systematische Analyse von Leistungsindikatoren S Reitmann | 3 | 2017 |
| 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 | 3 | 2015 |
| Real-time Prediction of Aircraft Boarding S Reitmann, M Schultz 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), 1-9, 2018 | 1 | 2018 |
| Prediction of passenger boarding progress using neural network approach M Schultz, S Reitmann | 1 | 2018 |
| Stability Analysis of Recurrent Neural Network based System Control in Aviation S Reitmann, K Nachtigall | 1 | 2017 |
| Classification of Point Clouds with Neural Networks and Continuum-Type Memories S Reitmann, EV Kudryashova, B Jung, V Reitmann IFIP International Conference on Artificial Intelligence Applications and …, 2021 | | 2021 |
| Observation stability and convergence for neural-type evolutionary variational inequalities S Reitmann, B Jung, EV Kudryashova, V Reitmann Differencialnie Uravnenia i Protsesy Upravlenia 2021 (2), 126-155, 2021 | | 2021 |
| OBJECT CLASSIFICATION IN TEMPORAL DEPTH SENSING POINT CLOUDS WITH SPIKING NEURAL NETWORKS S Reitmann, B Jung | | 2021 |
Michael SchultzInstitute of Logistics and Aviation, TU DresdenVerified email at tu-dresden.de
