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Michael Nolting

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2020 – today

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2024
[c22]
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Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier:
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets. AAAI 2024: 15420-15428
[c21]
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Michael Nolting, Gianfranco Walsh, Daniel Erik Brylla:
Is AI the Future of Weight Loss Coaching? Exploring Digital Methods for Automated Health Guidance. ECIS 2024
2023
[c20]
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  - conf/itsc/HenkeAWNT23
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Nils Henke, Mohammad Al-Rifai, Mirko Wagner, Michael Nolting, Nicolas Tempelmeier:
Visense for Vehicle Load Estimation and Fatigue Analysis. ITSC 2023: 2194-2199
[c19]
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  - conf/pakdd/HenkeWMNT23
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Nils Henke, Shimon Wonsak, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier:
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories. PAKDD (2) 2023: 79-91
[c18]
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Leonie von Wahl, Clara Mautsch, Stefan Ladwig, Michael Nolting, Nicolas Tempelmeier:
Towards Data-Driven Planning of Mobile Charging Infrastructure for Electric Vehicles. SuMob@SIGSPATIAL 2023: 13-22
2022
[c17]
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  - conf/ictai/ZengANN22
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Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl:
Towards building reliable deep learning based driver identification systems. ICTAI 2022: 766-773
[c16]
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  - conf/itsc/MatesanzTNF22
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Philip Matesanz, Nicolas Tempelmeier, Michael Nolting, Thorben Funke:
Ego-Vehicle Speed Prediction with Walk-Ahead. ITSC 2022: 2321-2328
[c15]
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  - conf/itsc/WowoNT22
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Kelvin Sopnan Wowo, Michael Nolting, Nicolas Tempelmeier:
Towards Sub-Maneuver Selection for Automated Driver Identification. ITSC 2022: 2422-2427
[c14]
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Kelvin Sopnan Wowo, Rajjat Dadwal, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl, Elena Demidova, Thorben Funke:
Using Vehicle Data to Enhance Prediction of Accident-Prone Areas. ITSC 2022: 2450-2456
[c13]
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  - conf/itsc/WonsakANN22
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Shimon Wonsak, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl:
Multi-Modal Motion Prediction with Graphormers. ITSC 2022: 3521-3528
[c12]
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  - conf/se/PrennerKNSS22
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Nils Prenner, Jil Klünder, Michael Nolting, Oliver Sniehotta, Kurt Schneider:
Challenges in the Development of Mobile Online Services in the Automotive Industry - A Case Study. Software Engineering 2022: 79-80
2021
[j2]
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  - journals/sensors/MatesanzGFNN21
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Philip Matesanz, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl:
Demand-Driven Data Acquisition for Large Scale Fleets. Sensors 21(21): 7190 (2021)
[c11]
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  - conf/icis/BryllaWNR21
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Daniel Erik Brylla, Gianfranco Walsh, Michael Nolting, Julian Roth:
When Fast Means More Hassle: Online Deliveries Revisited. ICIS 2021
[c10]
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  - conf/icse/KantertN21
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Jan Kantert, Michael Nolting:
How to Integrate with Real Cars - Minimizing Lead Time at Volkswagen. ICSE (SEIP) 2021: 358-359
[c9]
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  - conf/ispw/PrennerKNSS21
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Nils Prenner, Jil Klünder, Michael Nolting, Oliver Sniehotta, Kurt Schneider:
Challenges in the Development of Mobile Online Services in the Automotive Industry - A Case Study. ICGSE/ICSSP 2021: 22-32
[c8]
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  - conf/itsc/ZengANN21
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Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl:
Triplet Loss for Effective Deployment of Deep Learning Based Driver Identification Models. ITSC 2021: 1328-1333
[c7]
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  - conf/itsc/FrantzenLGFNN21
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Leonie Frantzen, Patrick Liedtke, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl:
Environmental Data Collection as a Byproduct for Autonomous Ride-Hailing Services. ITSC 2021: 2272-2277
[i1]
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  - journals/corr/abs-2103-05537
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Jan Kantert, Michael Nolting:
How to integrate with real cars - minimizing lead time at Volkswagen. CoRR abs/2103.05537 (2021)
2020
[j1]
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  - journals/evs/ZengKFSGN20
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Li Zeng, Timo Krallmann, Andrea Fiege, Marek Stess, Timo Graen, Michael Nolting:
Optimization of future charging infrastructure for commercial electric vehicles using a multi-objective genetic algorithm and real travel data. Evol. Syst. 11(2): 241-254 (2020)
[c6]
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  - conf/icse/KlunderPWSNKHSK20
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Jil Klünder, Nils Prenner, Ann-Kathrin Windmann, Marek Stess, Michael Nolting, Fabian Kortum, Lisa Handke, Kurt Schneider, Simone Kauffeld:
Do You Just Discuss or Do You Solve?: Meeting Analysis in a Software Project at Early Stages. ICSE (Workshops) 2020: 557-562
[c5]
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  - conf/itsc/ZengACNN20
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Li Zeng, Mohammad Al-Rifai, Sergiu Chelaru, Michael Nolting, Wolfgang Nejdl:
On the Importance of Contextual Information for Building Reliable Automated Driver Identification Systems. ITSC 2020: 1-8
[c4]
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  - conf/ph/NoltingRW20
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Michael Nolting, Julian Roth, Ulf Wittke:
Towards Autonomous Digital Health Coaching for Scalable Chronic Disease Prevention. PervasiveHealth 2020: 259-262

2010 – 2019

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2019
[c3]
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Michael Nolting, Ulf Wittke:
OJO: Fuzzy Logic based Digital Health Coaching for Scalable Diabetes Prevention. PervasiveHealth 2019: 340-345
2018
[c2]
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  - conf/eais/KrallmannDSGN18
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Timo Krallmann, Martin Döring, Marek Stess, Timo Graen, Michael Nolting:
Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data. EAIS 2018: 1-8
2016
[c1]
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  - conf/www/NoltingS16
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Michael Nolting, Jan Eike von Seggern:
Context-based A/B Test Validation. WWW (Companion Volume) 2016: 277-278

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