Stefan Rudolph

According to our database, Stefan Rudolph authored at least 20 papers between 2011 and 2023.

Collaborative distances:

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

2023

A Causal Model for Physics-Conform Vehicle Trajectories.

Himanshu Agarwal, Christian Brunner, Tobias Latka, Stefan Rudolph

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

2022

Segmentation-guided Domain Adaptation for Efficient Depth Completion.

Fabian Märkert, Martin Sunkel, Anselm Haselhoff, Stefan Rudolph

CoRR, 2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

2020

Mutual Influences in Self adaptive and Autonomously Learning Systems.

Stefan Rudolph

PhD thesis, 2020

2019

Mutual Influence-aware Runtime Learning of Self-adaptation Behavior.

Stefan Rudolph, Sven Tomforde, Jörg Hähner

ACM Trans. Auton. Adapt. Syst., 2019

On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes.

Stefan Rudolph, Sven Tomforde, Jörg Hähner

CoRR, 2019

2017

VReanimate - Non-verbal guidance and learning in virtual reality.

Tim Blome, Alexander Diefenbach, Stefan Rudolph, Kristina Bucher, Sebastian von Mammen

Proceedings of the 9th International Conference on Virtual Worlds and Games for Serious Applications, 2017

Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS.

Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

2016

Towards Autonomous Self-Tests at Runtime.

Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde

Proceedings of the 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2016

An Organic Computing Perspective on Self-Improving System Interweaving at Runtime.

Sven Tomforde, Stefan Rudolph, Kirstie L. Bellman, Rolf P. Würtz

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

A Mutual Influence-based Learning Algorithm.

Stefan Rudolph, Sven Tomforde, Jörg Hähner

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

Design and Evaluation of an Extended Learning Classifier-Based StarCraft Micro AI.

Stefan Rudolph, Sebastian von Mammen, Johannes Jungbluth, Jörg Hähner

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Comparison of Dependency Measures for the Detection of Mutual Influences in Organic Computing Systems.

Stefan Rudolph, Rainer Hihn, Sven Tomforde, Jörg Hähner

Proceedings of the Architecture of Computing Systems - ARCS 2016, 2016

2015

A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement.

Stefan Rudolph, Sven Tomforde, Bernhard Sick, Jörg Hähner

Proceedings of the 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems, 2015

2014

Reinforcement Learning for Coverage Optimization Through PTZ Camera Alignment in Highly Dynamic Environments.

Stefan Rudolph, Sarah Edenhofer, Sven Tomforde, Jörg Hähner

Proceedings of the International Conference on Distributed Smart Cameras, 2014

2013

A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques.

Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker

Proceedings of the ARCS 2013, 2013

2012

Modeling Risk Perception in Networks with Community Structure

Franco Bagnoli, Daniel Borkmann, Andrea Guazzini, Emanuele Massaro, Stefan Rudolph

CoRR, 2012

A Cognitive-Inspired Model for Self-Organizing Networks.

Daniel Borkmann, Andrea Guazzini, Emanuele Massaro, Stefan Rudolph

Proceedings of the Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 2012

Modeling Epidemic Risk Perception in Networks with Community Structure.

Franco Bagnoli, Daniel Borkmann, Andrea Guazzini, Emanuele Massaro, Stefan Rudolph

Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2012

2011

Evolving network protocols.

Björn Hurling, Sven Tomforde, Stefan Rudolph, Jörg Hähner, Christian Müller-Schloer

Proceedings of the 8th International Conference on Autonomic Computing, 2011