| A simulation-based architecture for smart cyber-physical systems T Gabor, L Belzner, M Kiermeier, MT Beck, A Neitz 2016 IEEE International Conference on Autonomic Computing (ICAC), 374-379, 2016 | 301 | 2016 |
| A hybrid solution method for the capacitated vehicle routing problem using a quantum annealer S Feld, C Roch, T Gabor, C Seidel, F Neukart, I Galter, W Mauerer, ... ICT 6 (13), 10.3389, 2019 | 136 | 2019 |
| Software engineering for smart cyber-physical systems: Challenges and promising solutions T Bures, D Weyns, B Schmer, E Tovar, E Boden, T Gabor, ... ACM SIGSOFT Software Engineering Notes 42 (2), 19-24, 2017 | 67 | 2017 |
| Software engineering for smart cyber-physical systems--towards a research agenda: Report on the First International Workshop on Software Engineering for Smart CPS T Bures, D Weyns, C Berger, S Biffl, M Daun, T Gabor, D Garlan, ... ACM SIGSOFT Software Engineering Notes 40 (6), 28-32, 2015 | 39 | 2015 |
| Reasoning and learning for awareness and adaptation M Hölzl, T Gabor Software Engineering for Collective Autonomic Systems: The ASCENS Approach …, 2015 | 35 | 2015 |
| Approximate approximation on a quantum annealer I Sax, S Feld, S Zielinski, T Gabor, C Linnhoff-Popien, W Mauerer Proceedings of the 17th ACM International Conference on Computing Frontiers …, 2020 | 29 | 2020 |
| Resilient multi-agent reinforcement learning with adversarial value decomposition T Phan, L Belzner, T Gabor, A Sedlmeier, F Ritz, C Linnhoff-Popien Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11308 …, 2021 | 26 | 2021 |
| Emergent escape-based flocking behavior using multi-agent reinforcement learning C Hahn, T Phan, T Gabor, L Belzner, C Linnhoff-Popien Artificial life conference proceedings, 598-605, 2019 | 26 | 2019 |
| Uncertainty-based out-of-distribution detection in deep reinforcement learning A Sedlmeier, T Gabor, T Phan, L Belzner, C Linnhoff-Popien arXiv preprint arXiv:1901.02219, 2019 | 25 | 2019 |
| The holy grail of quantum artificial intelligence: Major challenges in accelerating the machine learning pipeline T Gabor, L Sünkel, F Ritz, T Phan, L Belzner, C Roch, S Feld, ... Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020 | 23 | 2020 |
| Learning and testing resilience in cooperative multi-agent systems T Phan, T Gabor, A Sedlmeier, F Ritz, B Kempter, C Klein, H Sauer, ... Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 23 | 2020 |
| The scenario coevolution paradigm: Adaptive quality assurance for adaptive systems T Gabor, A Sedlmeier, T Phan, F Ritz, M Kiermeier, L Belzner, B Kempter, ... International Journal on Software Tools for Technology Transfer 22 (4), 457-476, 2020 | 21 | 2020 |
| Uncertainty-based out-of-distribution classification in deep reinforcement learning A Sedlmeier, T Gabor, T Phan, L Belzner, C Linnhoff-Popien arXiv preprint arXiv:2001.00496, 2019 | 21 | 2019 |
| Continuous collaboration: A case study on the development of an adaptive cyber-physical system M Hölzl, T Gabor 2015 IEEE/ACM 1st International Workshop on Software Engineering for Smart …, 2015 | 21 | 2015 |
| Leveraging statistical multi-agent online planning with emergent value function approximation T Phan, L Belzner, T Gabor, K Schmid arXiv preprint arXiv:1804.06311, 2018 | 19 | 2018 |
| Assessing solution quality of 3SAT on a quantum annealing platform T Gabor, S Zielinski, S Feld, C Roch, C Seidel, F Neukart, I Galter, ... Quantum Technology and Optimization Problems: First International Workshop …, 2019 | 15 | 2019 |
| Preparing for the unexpected: Diversity improves planning resilience in evolutionary algorithms T Gabor, L Belzner, T Phan, K Schmid 2018 IEEE international conference on autonomic computing (ICAC), 131-140, 2018 | 14 | 2018 |
| Optimizing evolutionary CSG tree extraction M Friedrich, PA Fayolle, T Gabor, C Linnhoff-Popien Proceedings of the Genetic and Evolutionary Computation Conference, 1183-1191, 2019 | 13 | 2019 |
| Action markets in deep multi-agent reinforcement learning K Schmid, L Belzner, T Gabor, T Phan Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 12 | 2018 |
| Genealogical distance as a diversity estimate in evolutionary algorithms T Gabor, L Belzner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 12 | 2017 |
