Thomas Gabor
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Cited by
Year
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
1302016
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
412017
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, ...
Frontiers in ICT 6, 13, 2019
332019
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
322015
Reasoning and learning for awareness and adaptation
M Hölzl, T Gabor
Software Engineering for Collective Autonomic Systems, 249-290, 2015
302015
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
192015
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
172020
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
102019
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
102018
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
82018
Software engineering for distributed autonomous real-time systems
L Belzner, MT Beck, T Gabor, H Roelle, H Sauer
Proceedings of the 2nd International Workshop on Software Engineering for …, 2016
82016
Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms
T Gabor, L Belzner, C Linnhoff-Popien
Proceedings of the Genetic and Evolutionary Computation Conference, 841-848, 2018
72018
Bayesian verification under model uncertainty
L Belzner, T Gabor
2017 IEEE/ACM 3rd International Workshop on Software Engineering for Smart …, 2017
72017
Adapting quality assurance to adaptive systems: the scenario coevolution paradigm
T Gabor, M Kiermeier, A Sedlmeier, B Kempter, C Klein, H Sauer, ...
International Symposium on Leveraging Applications of Formal Methods, 137-154, 2018
62018
Genealogical distance as a diversity estimate in evolutionary algorithms
T Gabor, L Belzner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
62017
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, 1-20, 2020
52020
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
52019
Mutation-based test suite evolution for self-organizing systems
A Reichstaller, T Gabor, A Knapp
International Symposium on Leveraging Applications of Formal Methods, 118-136, 2018
52018
Continuous collaboration for changing environments
M Hölzl, T Gabor
Transactions on Foundations for Mastering Change I, 201-224, 2016
52016
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
42020
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