Publications

Gong Chen, Hartmut Fricke, Ostap Okhrin, and Judith Rosenow. Flight delay propagation inference in air transport networks using the multilayer perceptron. Journal of air transport management, (114)Elsevier, Oxford u.a., January 2024. [PUMA: FIS_scads causality, Granger perceptron propagation, Multilayer topic_engineering Delay]

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]

Giampiero Gallo, Ostap Okhrin, and Giuseppe Storti. Dynamic tail risk forecasting: what do realized skewness and kurtosis add?. Sep 20, 2024. [PUMA: FIS_scads topic_engineering econ.EM]

Christian Genest, Ostap Okhrin, and Taras Bodnar. Copula modeling from Abe Sklar to the present day. Journal of Multivariate Analysis, (201)Academic Press Inc., May 2024. [PUMA: FIS_scads Copula models, modeling Dependence topic_engineering]

Christian Genest, Ostap Okhrin, and Taras Bodnar. Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”. Journal of Multivariate Analysis, (201)Academic Press Inc., May 2024. [PUMA: FIS_scads imported topic_engineering]

Johannes Gerritzen, Andreas Hornig, and Maik Gude. Graph based process models as basis for efficient data driven surrogates - Expediting the material development process. engrXiv : engineering archive, Open Engineering Inc., Nov 16, 2024. [PUMA: FIS_scads making modeling, decision Surrogate Data development, Process topic_engineering driven]

Johannes Gerritzen, Andreas Hornig, Peter Winkler, and Maik Gude. A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP. Computational Materials Science, (244 (2024))Elsevier Science B.V., September 2024. [PUMA: FIS_scads Fiber modeling, area_architectures plastics, reinforced Constitutive Machine identification learning, networks, Parameter topic_engineering Neural]

Johannes Gerritzen, Andreas Hornig, Peter Winkler, and Maik Gude. Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, (3):1252--1259, European Society for Composite Materials (ESCM), Jul 2, 2024. [PUMA: Convolutional FIS_scads Fiber area_architectures neural plastics rate dependency, reinforced Direct Strain Machine learning, networks, identification, parameter topic_engineering] URL

B. Gröger, J. Gerritzen, A. Hornig, and M. Gude. Developing a numerical modelling strategy for metallic pin pressing processes in fibre reinforced thermoplastics to investigate fibre rearrangement mechanisms during joining. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, (238)12:2286--2298, SAGE Publications, Nov 15, 2024. [PUMA: FIS_scads Eulerian, Joining, Lagrangian simulation composite, topic_engineering Arbitrary]

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]

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 Dynamic Local learning Deep Supervised planning, path learning, avoidance, reinforcement topic_engineering obstacle]

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 Hardness, Traveling Configuration, Benchmarking, Search, Problem topic_engineering Algorithm Heuristic Salesperson]

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 small network, neural bias topic_engineering correction, sample]

Moritz Kuhtz, Johannes Gerritzen, Jens Wiegand, Andreas Hornig, and Maik Gude. Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law. 14th European LS-DYNA Users Conference, DYNAmore GmbH, October 2023. [PUMA: FIS_scads imported topic_engineering] URL

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 topic_engineering physics.soc-ph]

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 cs.RO, topic_engineering cs.AI]

Dianzhao Li, and Ostap Okhrin. Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, 866--873, Institute of Electrical and Electronics Engineers Inc., United States of America, 2023. [PUMA: FIS_scads imported topic_engineering] URL

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

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 Path waterways Autonomous Restricted learning, surface vessel, reinforcement Deep topic_engineering following,]

Niklas Paulig, and Ostap Okhrin. An open-source framework for data-driven trajectory extraction from AIS data—The α-method. Ocean engineering, (312)Elsevier Science B.V., Nov 15, 2024. [PUMA: FIS_scads Trajectory topic_engineering Data-driven, extraction Big Open-source, data, AIS,]