Michael Nolting

According to our database, Michael Nolting authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Is AI the Future of Weight Loss Coaching? Exploring Digital Methods for Automated Health Guidance.

Michael Nolting, Gianfranco Walsh, Daniel Erik Brylla

Proceedings of the 32nd European Conference on Information Systems, 2024

Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets.

Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Data-Driven Planning of Mobile Charging Infrastructure for Electric Vehicles.

Leonie von Wahl, Clara Mautsch, Stefan Ladwig, Michael Nolting, Nicolas Tempelmeier

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Sustainable Mobility, 2023

CondTraj-GAN: Conditional Sequential GAN for Generating Synthetic Vehicle Trajectories.

Nils Henke, Shimon Wonsak, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Visense for Vehicle Load Estimation and Fatigue Analysis.

Nils Henke, Mohammad Al-Rifai, Mirko Wagner, Michael Nolting, Nicolas Tempelmeier

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Towards Sub-Maneuver Selection for Automated Driver Identification.

Kelvin Sopnan Wowo, Michael Nolting, Nicolas Tempelmeier

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Using Vehicle Data to Enhance Prediction of Accident-Prone Areas.

Kelvin Sopnan Wowo, Rajjat Dadwal, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl, Elena Demidova, Thorben Funke

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Multi-Modal Motion Prediction with Graphormers.

Shimon Wonsak, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Ego-Vehicle Speed Prediction with Walk-Ahead.

Philip Matesanz, Nicolas Tempelmeier, Michael Nolting, Thorben Funke

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Towards building reliable deep learning based driver identification systems.

Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021

Demand-Driven Data Acquisition for Large Scale Fleets.

Philip Matesanz, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl

Sensors, 2021

Triplet Loss for Effective Deployment of Deep Learning Based Driver Identification Models.

Li Zeng, Mohammad Al-Rifai, Michael Nolting, Wolfgang Nejdl

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Environmental Data Collection as a Byproduct for Autonomous Ride-Hailing Services.

Leonie Frantzen, Patrick Liedtke, Timo Graen, Andrea Fiege, Michael Nolting, Wolfgang Nejdl

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Challenges in the Development of Mobile Online Services in the Automotive Industry - A Case Study.

Nils Prenner, Jil Klünder, Michael Nolting, Oliver Sniehotta, Kurt Schneider

Proceedings of the 15th IEEE/ACM Joint International Conference on Software and System Processes, 2021

How to Integrate with Real Cars - Minimizing Lead Time at Volkswagen.

Jan Kantert, Michael Nolting

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

When Fast Means More Hassle: Online Deliveries Revisited.

Daniel Erik Brylla, Gianfranco Walsh, Michael Nolting, Julian Roth

Proceedings of the 42nd International Conference on Information Systems, 2021

2020

Optimization of future charging infrastructure for commercial electric vehicles using a multi-objective genetic algorithm and real travel data.

Li Zeng, Timo Krallmann, Andrea Fiege, Marek Stess, Timo Graen, Michael Nolting

Evol. Syst., 2020

Towards Autonomous Digital Health Coaching for Scalable Chronic Disease Prevention.

Michael Nolting, Julian Roth, Ulf Wittke

Proceedings of the PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020

On the Importance of Contextual Information for Building Reliable Automated Driver Identification Systems.

Li Zeng, Mohammad Al-Rifai, Sergiu Chelaru, Michael Nolting, Wolfgang Nejdl

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Do You Just Discuss or Do You Solve?: Meeting Analysis in a Software Project at Early Stages.

Jil Klünder, Nils Prenner, Ann-Kathrin Windmann, Marek Stess, Michael Nolting, Fabian Kortum, Lisa Handke, Kurt Schneider, Simone Kauffeld

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019

OJO: Fuzzy Logic based Digital Health Coaching for Scalable Diabetes Prevention.

Michael Nolting, Ulf Wittke

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2019

2018

Multi-objective optimization of charging infrastructure to improve suitability of commercial drivers for electric vehicles using real travel data.

Timo Krallmann, Martin Döring, Marek Stess, Timo Graen, Michael Nolting

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2016

Context-based A/B Test Validation.

Michael Nolting, Jan Eike von Seggern

Proceedings of the 25th International Conference on World Wide Web, 2016