Publications

Niklas Paulig, and Ostap Okhrin. Robust path following on rivers using bootstrapped reinforcement learning. Ocean engineering, (298)Elsevier Science B.V., Apr 15, 2024. [PUMA: FIS_scads topic_engineering yaff]

Jing Zou, Martin Odening, and Ostap Okhrin. Plant growth stages and weather index insurance design. Annals of actuarial science, (17)3:438--458, Cambridge University Press, Nov 3, 2023. [PUMA: FIS_scads topic_engineering yaff]

Martin Waltz, and Ostap Okhrin. Addressing maximization bias in reinforcement learning with two-sample testing. Artificial intelligence, (336)Elsevier Science B.V., November 2024. [PUMA: FIS_scads topic_engineering yaff]

Dianzhao Li, Paul Auerbach, and Ostap Okhrin. Towards Autonomous Driving with Small-Scale Cars: A Survey of Recent Development. Apr 9, 2024. [PUMA: FIS_scads topic_engineering xack]

Mihir Mandar Kulkarni, Ankit Anil Chaudhari, Karthik K. Srinivasan, Bhargava Rama Chilukuri, Martin Treiber, and Ostap Okhrin. Leader-Follower Identification with Vehicle-Following Calibration for Non-Lane-Based Traffic. May 17, 2024. [PUMA: FIS_scads nopdf topic_engineering]

Jing Zou, Martin Odening, and Ostap Okhrin. Data-driven determination of plant growth stages for improved weather index insurance design. Agricultural Finance Review, Emerald Group Publishing, Bingley, 2024. [PUMA: FIS_scads topic_engineering xack yaff]

Fabian Hart, Ostap Okhrin, and Martin Treiber. Vessel-following model for inland waterways based on deep reinforcement learning. Ocean engineering, (281)Elsevier Science B.V., August 2023. [PUMA: FIS_scads imported topic_engineering yaff]

Martin Waltz, and Ostap Okhrin. Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (2023)165:634--653, Elsevier Science B.V., Jun 15, 2023. [PUMA: FIS_scads topic_engineering yaff]

Ostap Okhrin, and Alexander Ristig. Penalized estimation of hierarchical Archimedean copula. Journal of Multivariate Analysis, (201)Academic Press Inc., 2023. [PUMA: FIS_scads topic_engineering yaff]

Haozhe Jiang, Ostap Okhrin, and Michael Rockinger. Artificial neural network small-sample-bias-corrections of the AR(1) parameter close to unit root. Statistica Neerlandica, Wiley-Blackwell, Oxford u. a., Jul 31, 2024. [PUMA: FIS_scads nopdf topic_engineering]

Fabian Hart, Martin Waltz, and Ostap Okhrin. Two-step dynamic obstacle avoidance. Knowledge-based systems, (302)Elsevier Science B.V., Oct 25, 2024. [PUMA: FIS_scads topic_engineering yaff]

Martin Waltz, Niklas Paulig, and Ostap Okhrin. 2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following. Jul 25, 2023. [PUMA: FIS_scads topic_engineering yaff]

Lennart Schäpermeier, and Pascal Kerschke. Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Thomas Bäck, Heike Trautmann, Tea Tusar, and Penousal Machado (Eds.), Parallel Problem Solving from Nature – PPSN XVIII, 202--216, Springer, Berlin u. a., Sep 7, 2024. [PUMA: FIS_scads topic_engineering xack yaff]

Jonathan Heins, Lennart Schäpermeier, Pascal Kerschke, and Darrell Whitley. Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Thomas Bäck, Heike Trautmann, Tea Tusar, and Penousal Machado (Eds.), Parallel Problem Solving from Nature – PPSN XVIII, 100--115, Springer, Berlin u. a., Sep 7, 2024. [PUMA: FIS_scads topic_engineering xack yaff]

Konstantin Dietrich, Diederick Vermetten, Carola Doerr, and Pascal Kerschke. Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. Proceedings of the Genetic and Evolutionary Computation Conference, 1007 -- 1016, Association for Computing Machinery (ACM), United States of America, Jul 14, 2024. [PUMA: FIS_scads imported topic_engineering yaff]

Veronia Iskandar, Mohamed A.Abd El Ghany, and Diana Goehringer. Compiler-Assisted Kernel Selection for FPGA-based Near-Memory Computing Platforms. Proceedings - 31st IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2023, 222, Institute of Electrical and Electronics Engineers Inc., United States of America, 2023. [PUMA: FIS_scads nopdf topic_federatedlearn] URL

Lester Kalms, Matthias Nickel, and Diana Göhringer. ArcvaVX: OpenVX Framework for Adaptive Reconfigurable Computer Vision Architectures. In Francesca Palumbo, Georgios Keramidas, Nikolaos Voros, and Pedro C. Diniz (Eds.), Applied Reconfigurable Computing. Architectures, Tools, and Applications - 19th International Symposium, ARC 2023, Proceedings, 97--112, Springer Science and Business Media B.V., Germany, 2023. [PUMA: FIS_scads nopdf topic_federatedlearn] URL

Julian Haase, Najdet Charaf, Alexander Groß, and Diana Göhringer. NC-Library: Expanding SystemC Capabilities for Nested reConfigurable Hardware Modelling. ACM Transactions on Reconfigurable Technology and Systems, (17)3:1--29, Association for Computing Machinery (ACM), New York, Apr 27, 2024. [PUMA: FIS_scads imported topic_federatedlearn xack yaff]

Filippo De Bortoli, Stefan Borgwardt, and Patrick Koopmann. The Precise Complexity of Reasoning in ALC with ω-Admissible Concrete Domains. In Laura Giordano, Jean Christoph Jung, and Ana Ozaki (Eds.), Proceedings of the 37th International Workshop on Description Logics (DL 2024), (3739)CEUR-WS.org, June 2024. [PUMA: FIS_scads imported topic_knowledge xack yaff]

Stefan Ellmauthaler, Sarah Alice Gaggl, Dominik Rusovac, and Johannes P. Wallner. ADF - BDD : An ADF Solver Based on Binary Decision Diagrams. In Francesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, and Hiroyuki Kido (Eds.), Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), (220146):355–356, IOS Press, Amsterdam u. a., Netherlands, Sep 1, 2022. [PUMA: FIS_scads nopdf topic_knowledge]