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46 Publications
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2023 | Conference Paper | LibreCat-ID: 45812
L. Özcan, T. Fichtler, B. Kasten, C. Koldewey, and R. Dumitrescu, “Interview Study on Strategy Options for Platform Operation in B2B Markets,” presented at the ISPIM Innovation Conference, Ljubljana, 2023.
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2022 | Conference Paper | LibreCat-ID: 33997
L. Özcan, L. Kirchberg, C. Koldewey, and R. Dumitrescu, “Performance Management Approach for Digital Platforms in B2B Markets,” in The Role of Innovation: Past, Present, Future, Athens, 2022.
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2022 | Conference Paper | LibreCat-ID: 33991
L. Özcan, C. Koldewey, E. Duparc, H. van der Valk, B. Otto, and R. Dumitrescu, “Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors,” presented at the 28th Americas Conference on Information Systems (AMCIS), Minneapolis, 2022.
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2022 | Conference Paper | LibreCat-ID: 31066
O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.
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2022 | Conference Paper | LibreCat-ID: 48882
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,” in Parallel Problem Solving from Nature (PPSN XVII), 2022, pp. 192–206, doi: 10.1007/978-3-031-14714-2_14.
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2022 | Conference Paper | LibreCat-ID: 48896
J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 356–359, doi: 10.1145/3520304.3528998.
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2021 | Journal Article | LibreCat-ID: 21004
M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.
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2021 | Journal Article | LibreCat-ID: 21808 | 
S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.
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2021 | Working Paper | LibreCat-ID: 33854 |
S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
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