Reference author: Krzysztof Czarnecki

Queiroz, R. ., Passos, L. ., Valente, M. T., Hunsen, C. ., Apel, S. ., & Czarnecki, K. . (2017). The shape of feature code: an analysis of twenty C-preprocessor-based systems. Software \& Systems Modeling, 16, 96. https://doi.org/10.1007/s10270-015-0483-z (Original work published 2017)

Vernekar, S. ., Gaurav, A. ., Abdelzad, V. ., Denouden, T. ., Salay, R. ., & Czarnecki, K. . (2019). Out-of-distribution Detection in Classifiers via Generation. Out-of-Distribution Detection in Classifiers via Generation. Presented at the. https://sites.google.com/view/neurips19-safe-robust-workshop. Retrieved from https://drive.google.com/file/d/0B3mY6u_lryzdel9WOW1XTVA0aDIwazJDcG9ORlZrZWFOd0xJ/view (Original work published 2019)

Ross, J. ., Murashkin, A. ., Liang, J. H., Antkiewicz, M. ., & Czarnecki, K. . (2017). Synthesis and Exploration of Multi-Level, Multi-Perspective Architectures of Automotive Embedded Systems. Software and Systems Modeling. https://doi.org/10.1007/s10270-017-0592-y

Khan, S. ., Phan, B. T., Salay, R. ., & Czarnecki, K. . (2019). ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. Presented at the. Long Beach, California, USA: IEEE. Retrieved from https://bit.ly/2G3MA1P (Original work published 2019)

Sarkar, A. ., Czarnecki, K. ., Angus, M. ., Li, C. ., & Waslander, S. . (2017). Trajectory prediction of traffic agents at urban intersections through learned interactions.. Trajectory Prediction of Traffic Agents at Urban Intersections through Learned Interactions. Presented at the. Retrieved from https://ieeexplore.ieee.org/document/8317731

Li, C. ., & Czarnecki, K. . (2019). Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. Presented at the. Montreal.

Valov, P. ., Petkovich, J.-C. ., Guo, J. ., Fischmeister, S. ., & Czarnecki, K. . (2017). Transferring Performance Prediction Models Across Different Hardware Platforms. Transferring Performance Prediction Models Across Different Hardware Platforms. Presented at the. https://doi.org/10.1145/3030207.3030216 (Original work published 2017)

Li, C. ., & Czarnecki, K. . (2019). Urban Driving with Multi-Objective Deep Reinforcement Learning. Urban Driving With Multi-Objective Deep Reinforcement Learning. Presented at the. Montreal: IFAAMAS.

Guo, J. ., Blais, E. ., Czarnecki, K. ., & van Beek, P. . (2017). A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial Optimization. A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-Objective Combinatorial Optimization. Presented at the. https://doi.org/10.1007/978-3-319-57351-9_16 (Original work published 2017)

Lee, J. ., Balakrishnan, A. ., Gaurav, A. ., Czarnecki, K. ., & Sedwards, S. . (2019). WiseMove: A Framework to Investigate Safe Reinforcement Learning for Autonomous Driving. Glasgow, Scotland: Springer.