Michael Nolting

27 papers A* 1B 1C 2Journal 4Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Integrating AI in digital weight loss coaching: enhancing automated health guidance for scalable learning. Int. J. Intell. Comput. Cybern. Michael Nolting, Gianfranco Walsh
2024	—	`conf`	Adaptive Dispatching of Mobile Charging Stations using Multi-Agent Graph Convolutional Cooperative-Competitive Reinforcement Learning. SIGSPATIAL/GIS Shimon Wonsak, Nils Henke, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl
2024	A*	`conf`	Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets. AAAI Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier
2024	—	`conf`	Is AI the Future of Weight Loss Coaching? Exploring Digital Methods for Automated Health Guidance. ECIS Michael Nolting, Gianfranco Walsh, Daniel Erik Brylla
2023	—	`conf`	CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories. PAKDD (2) Nils Henke, Shimon Wonsak, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier
2023	—	`conf`	Towards Data-Driven Planning of Mobile Charging Infrastructure for Electric Vehicles. SuMob@SIGSPATIAL Leonie von Wahl, Clara Mautsch, Stefan Ladwig, Michael Nolting, Nicolas Tempelmeier
2023	—	`conf`	Visense for Vehicle Load Estimation and Fatigue Analysis. ITSC Nils Henke, Mohammad Al-Rifai, Mirko Wagner, Michael Nolting, Nicolas Tempelmeier
2022	C	`conf`	Challenges in the Development of Mobile Online Services in the Automotive Industry - A Case Study. Software Engineering Nils Prenner, Jil Klünder, Michael Nolting, Oliver Sniehotta, Kurt Schneider
2022	—	`conf`	Ego-Vehicle Speed Prediction with Walk-Ahead. ITSC Philip Matesanz, Nicolas Tempelmeier, Michael Nolting, Thorben Funke
2022	—	`conf`	Multi-Modal Motion Prediction with Graphormers. ITSC Shimon Wonsak, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl
2022	—	`conf`	Towards Sub-Maneuver Selection for Automated Driver Identification. ITSC Kelvin Sopnan Wowo, Michael Nolting, Nicolas Tempelmeier
2022	B	`conf`	Towards building reliable deep learning based driver identification systems. ICTAI Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl
2022	—	`conf`	Using Vehicle Data to Enhance Prediction of Accident-Prone Areas. ITSC Kelvin Sopnan Wowo, Rajjat Dadwal, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl, Elena Demidova, Thorben Funke
2021	—	`conf`	Challenges in the Development of Mobile Online Services in the Automotive Industry - A Case Study. ICGSE/ICSSP Nils Prenner, Jil Klünder, Michael Nolting, Oliver Sniehotta, Kurt Schneider
2021	J	`jnl`	Demand-Driven Data Acquisition for Large Scale Fleets. Sensors Philip Matesanz, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl
2021	—	`conf`	Environmental Data Collection as a Byproduct for Autonomous Ride-Hailing Services. ITSC Leonie Frantzen, Patrick Liedtke, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl
2021	—	`conf`	How to Integrate with Real Cars - Minimizing Lead Time at Volkswagen. ICSE (SEIP) Jan Kantert, Michael Nolting
2021	J	`jnl`	How to integrate with real cars - minimizing lead time at Volkswagen. CoRR Jan Kantert, Michael Nolting
2021	—	`conf`	Triplet Loss for Effective Deployment of Deep Learning Based Driver Identification Models. ITSC Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl
2021	C	`conf`	When Fast Means More Hassle: Online Deliveries Revisited. ICIS Daniel Erik Brylla, Gianfranco Walsh, Michael Nolting, Julian Roth
2020	—	`conf`	Do You Just Discuss or Do You Solve?: Meeting Analysis in a Software Project at Early Stages. ICSE (Workshops) Jil Klünder, Nils Prenner, Ann-Kathrin Windmann, Marek Stess, Michael Nolting, Fabian Kortum, Lisa Handke, Kurt Schneider, Simone Kauffeld
2020	—	`conf`	On the Importance of Contextual Information for Building Reliable Automated Driver Identification Systems. ITSC Li Zeng, Mohammad Al-Rifai, Sergiu Chelaru, Michael Nolting, Wolfgang Nejdl
2020	J	`jnl`	Optimization of future charging infrastructure for commercial electric vehicles using a multi-objective genetic algorithm and real travel data. Evol. Syst. Li Zeng, Timo Krallmann, Andrea Fiege, Marek Stess, Timo Graen, Michael Nolting
2020	—	`conf`	Towards Autonomous Digital Health Coaching for Scalable Chronic Disease Prevention. PervasiveHealth Michael Nolting, Julian Roth, Ulf Wittke
2019	—	`conf`	OJO: Fuzzy Logic based Digital Health Coaching for Scalable Diabetes Prevention. PervasiveHealth Michael Nolting, Ulf Wittke
2018	—	`conf`	Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data. EAIS Timo Krallmann, Martin Döring, Marek Stess, Timo Graen, Michael Nolting
2016	—	`conf`	Context-based A/B Test Validation. WWW (Companion Volume) Michael Nolting, Jan Eike von Seggern