Reference author: Krzysztof Czarnecki

Wang, J. ., Pant, Y. V., Zhao, L. ., Antkiewicz, M. ., & Czarnecki, K. . (2024). Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. IEEE Transactions on Intelligent Transportation Systems, 16. https://doi.org/10.1109/TITS.2024.3384050 (Original work published 2024)

Phan, B. T., Salay, R. ., Czarnecki, K. ., Abdelzad, V. ., Denouden, T. ., & Vernekar, S. . (2018). Calibrating Uncertainties in Object Localization Task. Calibrating Uncertainties in Object Localization Task. Presented at the. (Original work published 2018)

Khalilov, E. ., Ross, J. ., Antkiewicz, M. ., Völter, M. ., & Czarnecki, K. . (2016). Modeling and Optimizing Automotive Electric/Electronic (E/E) Architectures: Towards Making Clafer Accessible to Practitioners. Modeling and Optimizing Automotive Electric Electronic (E E) Architectures: Towards Making Clafer Accessible to Practitioners. Presented at the. https://doi.org/10.1007/978-3-319-47169-3_37 (Original work published 2016)

Juodisius, P. ., Sarkar, A. ., Mukkamala, R. R., Antkiewicz, M. ., Czarnecki, K. ., & asowski, A. W. (2018). Clafer: Lightweight Modeling of Structure and Behaviour. The Art, Science, and Engineering of Programming Journal, 3. https://doi.org/10.22152/programming-journal.org/2019/3/2 (Original work published 2018)

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

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)