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Dr. Marie Kiermeier Lehrstuhl für Mobile und Verteilte Systeme Ludwig-Maximilians-Universität München, Institut für Informatik Oettingenstraße 67 Raum Telefon: Fax: +49 89 / 2180-9148 |
Publikationen
2019
- I. Figalist, A. Biesdorf, C. Brand, S. Feld, and M. Kiermeier, „Supporting the DevOps Feedback Loop using Unsupervised Learning,“ in 2019 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2019.
[BibTeX]@inproceedings{figalist2019supporting, author = {Figalist, Iris and Biesdorf, Andreas and Brand, Christoph and Feld, Sebastian and Kiermeier, Marie}, title = {Supporting the DevOps Feedback Loop using Unsupervised Learning}, booktitle = {2019 International Symposium on Innovations in Intelligent Systems and Applications (INISTA)}, year = {2019}, organization = {IEEE}, owner = {sfeld} } - T. Phan, L. Belzner, M. Kiermeier, M. Friedrich, K. Schmid, and C. Linnhoff-Popien, „Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling,“ in 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2019.
[BibTeX] [Download PDF]@inproceedings{Phan2019, author = {Thomy Phan and Lenz Belzner and Marie Kiermeier and Markus Friedrich and Kyrill Schmid and Claudia Linnhoff-Popien}, title = {Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling}, booktitle = {33rd AAAI Conference on Artificial Intelligence (AAAI 2019)}, year = {2019}, __markedentry = {[gruttaue:]}, owner = {tphan}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4794} } - T. Gabor, A. Sedlmeier, M. Kiermeier, T. Phan, M. Henrich, M. Picklmair, B. Kempter, C. Klein, H. Sauer, R. Schmid, and J. Wieghardt, „Scenario Co-Evolution for Reinforcement Learning on a GridWorld Smart Factory Domain,“ in Genetic and Evolutionary Computation Conference (GECCO), 2019.
[BibTeX]@inproceedings{Gabor2019a, author = {Thomas Gabor and Andreas Sedlmeier and Marie Kiermeier and Thomy Phan and Marcel Henrich and Monika Picklmair and Bernhard Kempter and Cornel Klein and Horst Sauer and Reiner Schmid and Jan Wieghardt}, title = {Scenario Co-Evolution for Reinforcement Learning on a GridWorld Smart Factory Domain}, booktitle = {Genetic and Evolutionary Computation Conference (GECCO)}, year = {2019}, publisher = {ACM}, __markedentry = {[gruttaue:6]}, owner = {tgabor} }
2018
- T. Gabor, M. Kiermeier, and L. Belzner, „Dont Lose Control, Stay Up To Date: Automated Runtime Quality Engineering,“ in Digital Marketplaces Unleashed, Springer, 2018.
[BibTeX]@incollection{gabor2018dont, author = {Gabor, Thomas and Kiermeier, Marie and Belzner, Lenz}, title = {Dont Lose Control, Stay Up To Date: Automated Runtime Quality Engineering}, booktitle = {Digital Marketplaces Unleashed}, publisher = {Springer}, year = {2018}, owner = {tgabor} } - T. Gabor, M. Kiermeier, A. Sedlmeier, B. Kempter, C. Klein, H. Sauer, R. Schmid, and J. Wieghardt, „Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm,“ in International Symposium on Leveraging Applications of Formal Methods (ISoLA), 2018.
[BibTeX]@inproceedings{gabor2018adapting, title = {Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm}, author = {Thomas Gabor and Marie Kiermeier and Andreas Sedlmeier and Bernhard Kempter and Cornel Klein and Horst Sauer and Reiner Schmid and Jan Wieghardt}, booktitle = {International Symposium on Leveraging Applications of Formal Methods (ISoLA)}, year = {2018} } - M. Kiermeier, T. Phan, H. Sauer, and J. Wieghardt, „Monitoring Autonomous Agents in Self-Organizing Industrial Systems,“ in IEEE 16th International Conference on Industrial Informatics (INDIN 2018), 2018, p. 653–658.
[BibTeX]@inproceedings{INDIN_mobile_agents, author = {Kiermeier, Marie and Phan, Thomy and Sauer, Horst and Wieghardt, Jan}, title = {Monitoring Autonomous Agents in Self-Organizing Industrial Systems}, booktitle = {IEEE 16th International Conference on Industrial Informatics (INDIN 2018)}, year = {2018}, pages = {653--658}, organization = {IEEE} } - M. Kiermeier and S. Feld, „Visual Analytics for Root Cause Analysis in Self-Organizing Industrial Systems,“ in IEEE 16th International Conference on Industrial Informatics (INDIN 2018), 2018, p. 315–320.
[BibTeX]@inproceedings{INDIN_visual_analytics, author = {Kiermeier, Marie and Feld, Sebastian}, title = {Visual Analytics for Root Cause Analysis in Self-Organizing Industrial Systems}, booktitle = {IEEE 16th International Conference on Industrial Informatics (INDIN 2018)}, year = {2018}, pages = {315--320}, organization = {IEEE} } - M. Kiermeier, S. Feld, T. Phan, and C. Linnhoff-Popien, „Anomaly Detection in Spatial Layer Models of Autonomous Agents,“ in 18th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018), 2018.
[BibTeX]@inproceedings{IDEAL_spatial_layer_models, author = {Kiermeier, Marie and Feld, Sebastian and Phan, Thomy and Linnhoff-Popien, Claudia}, title = {Anomaly Detection in Spatial Layer Models of Autonomous Agents}, booktitle = {18th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018)}, year = {2018}, organization = {Springer} } - K. Schmid, L. Belzner, M. Kiermeier, A. Neitz, T. Phan, T. Gabor, and C. Linnhoff, „Risk-Sensitivity in Simulation Based Online Planning,“ in Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), 2018, p. 229–240.
[BibTeX]@inproceedings{schmid2018risk, author = {Schmid, Kyrill and Belzner, Lenz and Kiermeier, Marie and Neitz, Alexander and Phan, Thomy and Gabor, Thomas and Linnhoff, Claudia}, title = {Risk-Sensitivity in Simulation Based Online Planning}, booktitle = {Joint German/Austrian Conference on Artificial Intelligence (K{\"u}nstliche Intelligenz)}, year = {2018}, pages = {229--240}, organization = {Springer} }
2017
- M. Kiermeier, M. Werner, C. Linnhoff-Popien, H. Sauer, and J. Wieghardt, „Anomaly Detection in Self-Organizing Industrial Systems Using Pathlets,“ in Proceedings of the 18th IEEE International Conference on Industrial Technology (ICIT), 2017.
[BibTeX]@inproceedings{kiermeier2017anomaly, title = {Anomaly Detection in Self-Organizing Industrial Systems Using Pathlets}, author = {Marie Kiermeier and Martin Werner and Claudia Linnhoff-Popien and Horst Sauer and Jan Wieghardt}, booktitle = {Proceedings of the 18th IEEE International Conference on Industrial Technology (ICIT)}, year = {2017}, owner = {mkiermeier}, timestamp = {2017.05.29} } - A. Ebert, M. Kiermeier, M. Chadly, and C. Linnhoff-Popien, „Sensing and Assessment of Human Motion,“ in Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control (ICNSC), 2017.
[BibTeX]@inproceedings{ebert2017sensing, author = {Ebert, Andre and Kiermeier, Marie and Marouane Chadly and Linnhoff-Popien, Claudia}, title = {Sensing and Assessment of Human Motion}, booktitle = {Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control (ICNSC)}, year = {2017}, publisher = {IEEE}, owner = {aebert} } - M. Kiermeier, „Online reverse subpattern matching for reproduction of trajectories from sub-paths,“ in Proceedings of the 17th International Conference on Computational Science and Its Applications (ICCSA), 2017.
[BibTeX]@inproceedings{kiermeier2017online, author = {Kiermeier, Marie}, title = {Online reverse subpattern matching for reproduction of trajectories from sub-paths}, booktitle = {Proceedings of the 17th International Conference on Computational Science and Its Applications (ICCSA)}, year = {2017}, publisher = {Springer}, owner = {mkiermeier} } - M. Kiermeier, M. Werner, H. Sauer, and J. Wieghardt, „Building scalable models for anomaly detection in self-organizing industrial systems,“ in Proceedings of the 15th IEEE International Conference on Industrial Informatics (INDIN), 2017.
[BibTeX]@inproceedings{kiermeier2017building, author = {Kiermeier, Marie and Werner, Martin and Sauer, Horst and Wieghardt, Jan}, title = {Building scalable models for anomaly detection in self-organizing industrial systems}, booktitle = {Proceedings of the 15th IEEE International Conference on Industrial Informatics (INDIN)}, year = {2017}, publisher = {IEEE}, owner = {mkiermeier} } - M. Kiermeier, H. Sauer, and J. Wieghardt, „Monitoring self-organizing industrial systems using sub-trajectory dictionaries,“ in Proceedings of the 15th IEEE International Conference on Industrial Informatics (INDIN), 2017.
[BibTeX]@inproceedings{kiermeier2017monitoring, author = {Kiermeier, Marie and Sauer, Horst and Wieghardt, Jan}, title = {Monitoring self-organizing industrial systems using sub-trajectory dictionaries}, booktitle = {Proceedings of the 15th IEEE International Conference on Industrial Informatics (INDIN)}, year = {2017}, publisher = {IEEE}, owner = {mkiermeier} } - M. Kiermeier and M. Werner, „Similarity Search for Spatial Trajectories Using Online Lower Bounding DTW and Presorting Strategies,“ in Proceedings of the 24th International Symposium on Temporal Representation and Reasoning (TIME), 2017.
[BibTeX]@inproceedings{kiermeier2017similarity, author = {Kiermeier, Marie and Werner, Martin}, title = {Similarity Search for Spatial Trajectories Using Online Lower Bounding DTW and Presorting Strategies}, booktitle = {Proceedings of the 24th International Symposium on Temporal Representation and Reasoning (TIME)}, year = {2017}, owner = {mkiermeier} } - M. Kiermeier, S. Feld, and C. Linnhoff-Popien, „Root Cause Analysis for Global Anomalous Events in Self-Organizing Industrial Systems,“ in Proceedings of the 21th IEEE International Conference on Intelligent Engineering Systems (INES), 2017.
[BibTeX]@inproceedings{kiermeier2017root, author = {Kiermeier, Marie and Feld, Sebastian and Linnhoff-Popien, Claudia}, title = {Root Cause Analysis for Global Anomalous Events in Self-Organizing Industrial Systems}, booktitle = {Proceedings of the 21th IEEE International Conference on Intelligent Engineering Systems (INES)}, year = {2017}, publisher = {IEEE}, owner = {mkiermeier} } - A. Ebert, M. Kiermeier, C. Marouane, and C. Linnhoff-Popien, „SensX: About Sensing and Assessment of Complex Human Motion,“ in 14th IEEE International Conference on Networking, Sensing and Control (ICNSC), 2017, p. 1–6.
[BibTeX] [Download PDF]@inproceedings{ebert2017sensx, author = {Ebert, Andre and Kiermeier, Marie and Marouane, Chadly and Linnhoff-Popien, Claudia}, title = {{SensX: About Sensing and Assessment of Complex Human Motion}}, booktitle = {14th IEEE International Conference on Networking, Sensing and Control (ICNSC)}, year = {2017}, pages = {1--6}, organization = {IEEE}, owner = {aebert}, url = {https://doi.org/10.1109/ICNSC.2017.8000113} }
2016
- T. Gabor, L. Belzner, M. Kiermeier, M. T. Beck, and A. Neitz, „A Simulation-Based Architecture for Smart Cyber-Physical Systems,“ in Proceedings of the International Workshop on Models@run.time for Self-aware Computing Systems, 2016.
[BibTeX]@inproceedings{gabor2016simulation, title = {A Simulation-Based Architecture for Smart Cyber-Physical Systems}, author = {Thomas Gabor and Lenz Belzner and Marie Kiermeier and Michael Till Beck and Alexander Neitz}, booktitle = {Proceedings of the International Workshop on Models@run.time for Self-aware Computing Systems}, year = {2016}, owner = {tgabor}, timestamp = {2016.09.23} } - M. Werner and M. Kiermeier, „A Low-Dimensional Feature Vector Representation for Alignment-Free Spatial Trajectory Analysis,“ in Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS’16), 2016.
[BibTeX]@inproceedings{AlignmentFree, title = {A Low-Dimensional Feature Vector Representation for Alignment-Free Spatial Trajectory Analysis}, author = {Martin Werner and Marie Kiermeier}, booktitle = {Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS'16)}, year = {2016}, owner = {mwerner}, timestamp = {2016.11.17} }
