Stefan Rudolph

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 12

Top Topics

Learning Processes

Computing Systems

Detection Algorithm

Top Venues

Publications

Himanshu Agarwal, Christian Brunner, Tobias Latka, Stefan Rudolph
A Causal Model for Physics-Conform Vehicle Trajectories. ITSC (2023)
Fabian Märkert, Martin Sunkel, Anselm Haselhoff, Stefan Rudolph
Segmentation-guided Domain Adaptation for Efficient Depth Completion. CoRR (2022)
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
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR (2022)
Stefan Rudolph, Sven Tomforde, Jörg Hähner
Mutual Influence-aware Runtime Learning of Self-adaptation Behavior. ACM Trans. Auton. Adapt. Syst. 14 (1) (2019)
Stefan Rudolph, Sven Tomforde, Jörg Hähner
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes. CoRR (2019)
Anthony Stein, Stefan Rudolph, Sven Tomforde, Jörg Hähner
Self-learning Smart Cameras - Harnessing the Generalization Capability of XCS. IJCCI (2017)
Tim Blome, Alexander Diefenbach, Stefan Rudolph, Kristina Bucher, Sebastian von Mammen
VReanimate - Non-verbal guidance and learning in virtual reality. VS-GAMES (2017)
Stefan Rudolph, Sven Tomforde, Jörg Hähner
A Mutual Influence-based Learning Algorithm. ICAART (1) (2016)
Sven Tomforde, Stefan Rudolph, Kirstie L. Bellman, Rolf P. Würtz
An Organic Computing Perspective on Self-Improving System Interweaving at Runtime. ICAC (2016)
Henner Heck, Stefan Rudolph, Christian Gruhl, Arno Wacker, Jörg Hähner, Bernhard Sick, Sven Tomforde
Towards Autonomous Self-Tests at Runtime. FAS*W@SASO/ICCAC (2016)
Stefan Rudolph, Rainer Hihn, Sven Tomforde, Jörg Hähner
Comparison of Dependency Measures for the Detection of Mutual Influences in Organic Computing Systems. ARCS (2016)
Stefan Rudolph, Sebastian von Mammen, Johannes Jungbluth, Jörg Hähner
Design and Evaluation of an Extended Learning Classifier-Based StarCraft Micro AI. EvoApplications (1) (2016)
Stefan Rudolph, Sven Tomforde, Bernhard Sick, Jörg Hähner
A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement. SASO (2015)
Stefan Rudolph, Sarah Edenhofer, Sven Tomforde, Jörg Hähner
Reinforcement Learning for Coverage Optimization Through PTZ Camera Alignment in Highly Dynamic Environments. ICDSC (2014)
Jörg Hähner, Stefan Rudolph, Sven Tomforde, Dominik Fisch, Bernhard Sick, Nils Kopal, Arno Wacker
A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques. ARCS Workshops (2013)
Franco Bagnoli, Daniel Borkmann, Andrea Guazzini, Emanuele Massaro, Stefan Rudolph
Modeling Risk Perception in Networks with Community Structure CoRR (2012)
Franco Bagnoli, Daniel Borkmann, Andrea Guazzini, Emanuele Massaro, Stefan Rudolph
Modeling Epidemic Risk Perception in Networks with Community Structure. BIONETICS (2012)
Daniel Borkmann, Andrea Guazzini, Emanuele Massaro, Stefan Rudolph
A Cognitive-Inspired Model for Self-Organizing Networks. SASO Workshops (2012)
Björn Hurling, Sven Tomforde, Stefan Rudolph, Jörg Hähner, Christian Müller-Schloer
Evolving network protocols. ICAC (2011)