Marco Stang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Haptic Feedback

Top Venues

IHIET (Strasbourg)

Publications

Marco Stang, Martin Sommer, David Kraus, Eric Sax
Improving the Validation of Automotive Self-Learning Systems through the Synergy of Scenario-Based Testing and Metamorphic Relations. BDCAT (2023)
Marco Stang, Simon Stock, Simon Müller, Eric Sax, Wilhelm Stork
Development of a self-learning automotive comfort function: an adaptive gesture control with few-shot-learning. ICCVE (2022)
Gabriela Molinar, Marco Stang, David Lohner, Manuela Schmidt
Ein LAMA geht online: Wie Machine-Learning-Kompetenzen durch praxisnahe Problemstellungen gefördert werden können. DELFI (2021)
Maria Guinea, Marco Stang, Irma Nitsche, Eric Sax
Acceptance of Smart Automated Comfort Functionalities in Vehicles. IHIET (Strasbourg) (2021)
Marco Stang, Maria Guinea Marquez, Eric Sax
CAGEN - Context-Action Generation for Testing Self-learning Functions. IHIET (Strasbourg) (2021)
Daniel Grimm, Marco Stang, Eric Sax
Context-Aware Security for Vehicles and Fleets: A Survey. IEEE Access 9 (2021)
Benedikt Haas, Marco Stang, Valentin Khan-Blouki, Eric Sax
Introduction of an Algorithm Based on Convolutional Neural Networks for an Automated Online Correction of Braided Cardiovascular Implants. IHIET (Strasbourg) (2021)
Marco Stang, Daniel Grimm, Moritz Gaiser, Eric Sax
Evaluation of Deep Reinforcement Learning Algorithms for Autonomous Driving. IV (2020)
Simon Stock, Alain Bertemes, Marco Stang, Martin Böhme, Daniel Grimm, Wilhelm Stork
FEEDI - A Smart Wearable Foot-Band for Navigation and Guidance Using Haptic Feedback. IHIET (Lausanne) (2020)
Martin Böhme, Marco Stang, Ferdin Muetsch, Eric Sax
TalkyCars: A Distributed Software Platform for Cooperative Perception. IV (2020)
Martin Böhme, Andreas Lauber, Marco Stang, Luyi Pan, Eric Sax
Using Machine Learning to Optimize Energy Consumption of HVAC Systems in Vehicles. IHIET (2019)
Marco Stang, Christopher Meier, Vinzenz Rau, Eric Sax
An Evolutionary Approach to Hyper-Parameter Optimization of Neural Networks. IHIET (2019)