Sarkar, A. ., Guo, J. ., Siegmund, N. ., Apel, S. ., & Czarnecki, K. . (2015). Cost-efficient sampling for performance prediction of configurable systems. Cost-Efficient Sampling for Performance Prediction of Configurable Systems. Presented at the. Retrieved from https://ieeexplore.ieee.org/document/7372023
Reference author: Krzysztof Czarnecki
First name
Krzysztof
Last name
Czarnecki
Zayan, D. ., Sarkar, A. ., Antkiewicz, M. ., Maciel, R. S. P., & Czarnecki, K. . (2018). Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them. https://doi.org/10.1007/s10270-017-0652-3 (Original work published 2018)
Passos, L. ., Queiroz, R. ., Mukelabai, M. ., Berger, T. ., Apel, S. ., Czarnecki, K. ., & Padilla, J. A. (2018). A Study of Feature Scattering in the Linux Kernel. IEEE Transactions on Software Engineering.
Czarnecki, K. ., & Salay, R. . (2018). Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. Presented at the. Väster\r as, Sweden: Springer. (Original work published 2018)
Angus, M. ., ElBalkini, M. ., Khan, S. ., Harakeh, A. ., Andrienko, O. ., Reading, C. ., Czarnecki, K. ., & Waslander, S. . (2018). Unlimited Road-scene Synthetic Annotation (URSA) Dataset. Unlimited Road-Scene Synthetic Annotation (URSA) Dataset. Presented at the. Maui, Hawaii, USA: IEEE. Retrieved from https://arxiv.org/abs/1807.06056 (Original work published 2018)
Zulkoski, E. ., Bright, C. ., Heinle, A. ., Kotsireas, I. ., Czarnecki, K. ., & Ganesh, V. . (2017). Combining SAT Solvers with Computer Algebra Systems to Verify Combinatorial Conjectures. Journal of Automated Reasoning, 58, 339. https://doi.org/10.1007/s10817-016-9396-y (Original work published 2011)
Zulkoski, E. ., Martins, R. ., Wintersteiger, C. ., Robere, R. ., Liang, J. H., Czarnecki, K. ., & Ganesh, V. . (2017). Empirically Relating Complexity-theoretic Parameters with SAT Solver Performance. Empirically Relating Complexity-Theoretic Parameters With SAT Solver Performance. Presented at the. EPIC. (Original work published 2017)
Bouchard, F. ., Sedwards, S. ., & Czarnecki, K. . (2022). A Rule-Based Behaviour Planner for Autonomous Driving. Berlin (virtual): Springer.
Queiroz, R. ., Berger, T. ., & Czarnecki, K. . (2019). GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. Presented at the. Paris: IEEE.
Abdelzad, V. ., Lee, J. ., Sedwards, S. ., Soltani, S. ., & Czarnecki, K. . (2021). Non-divergent Imitation for Verification of Complex Learned Controllers. Shenzhen, China (virtual): IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533410
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