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46 Publications
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2023 | Conference Paper | LibreCat-ID: 45812
Özcan, Leon, et al. Interview Study on Strategy Options for Platform Operation in B2B Markets. 2023.
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2022 | Conference Paper | LibreCat-ID: 33997
Özcan, Leon, et al. “Performance Management Approach for Digital Platforms in B2B Markets.” The Role of Innovation: Past, Present, Future, edited by Iain Bitran et al., 2022.
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2022 | Conference Paper | LibreCat-ID: 33991
Özcan, Leon, et al. Why Do Digital Platforms Succeed or Fail? - A Literature Review on Success and Failure Factors. 2022.
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2022 | Book Chapter | LibreCat-ID: 34209
Shi, Yuhao, et al. “A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement.” Material Modeling and Structural Mechanics, Springer International Publishing, 2022, doi:10.1007/978-3-030-97675-0_9.
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2022 | Conference Paper | LibreCat-ID: 31066
Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282.
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2022 | Conference Paper | LibreCat-ID: 48882
Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 192–206, doi:10.1007/978-3-031-14714-2_14.
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2022 | Conference Paper | LibreCat-ID: 48896
Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.
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2021 | Journal Article | LibreCat-ID: 21808 | 
Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503.
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2021 | Working Paper | LibreCat-ID: 33854 |
Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
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