Michael Nolting

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Electric Vehicles

Chronic Disease

Contextual Cues

Top Venues

PervasiveHealth

Publications

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)
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)
Nils Henke, Shimon Wonsak, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier
CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories. PAKDD (2) (2023)
Nils Henke, Mohammad Al-Rifai, Mirko Wagner, Michael Nolting, Nicolas Tempelmeier
Visense for Vehicle Load Estimation and Fatigue Analysis. ITSC (2023)
Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl
Towards building reliable deep learning based driver identification systems. ICTAI (2022)
Shimon Wonsak, Mohammad Alrifai, Michael Nolting, Wolfgang Nejdl
Multi-Modal Motion Prediction with Graphormers. ITSC (2022)
Philip Matesanz, Nicolas Tempelmeier, Michael Nolting, Thorben Funke
Ego-Vehicle Speed Prediction with Walk-Ahead. ITSC (2022)
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)
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)
Kelvin Sopnan Wowo, Michael Nolting, Nicolas Tempelmeier
Towards Sub-Maneuver Selection for Automated Driver Identification. ITSC (2022)
Jan Kantert, Michael Nolting
How to Integrate with Real Cars - Minimizing Lead Time at Volkswagen. ICSE (SEIP) (2021)
Philip Matesanz, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl
Demand-Driven Data Acquisition for Large Scale Fleets. Sensors 21 (21) (2021)
Jan Kantert, Michael Nolting
How to integrate with real cars - minimizing lead time at Volkswagen. CoRR (2021)
Daniel Erik Brylla, Gianfranco Walsh, Michael Nolting, Julian Roth
When Fast Means More Hassle: Online Deliveries Revisited. ICIS (2021)
Li Zeng, Mohammad Alrifai, Michael Nolting, Wolfgang Nejdl
Triplet Loss for Effective Deployment of Deep Learning Based Driver Identification Models. ITSC (2021)
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)
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)
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) (2020)
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)
Michael Nolting, Julian Roth, Ulf Wittke
Towards Autonomous Digital Health Coaching for Scalable Chronic Disease Prevention. PervasiveHealth (2020)
Li Zeng, Mohammad Alrifai, Sergiu Chelaru, Michael Nolting, Wolfgang Nejdl
On the Importance of Contextual Information for Building Reliable Automated Driver Identification Systems. ITSC (2020)
Michael Nolting, Ulf Wittke
OJO: Fuzzy Logic based Digital Health Coaching for Scalable Diabetes Prevention. PervasiveHealth (2019)
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)
Michael Nolting, Jan Eike von Seggern
Context-based A/B Test Validation. WWW (Companion Volume) (2016)