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45 Publications
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2023 | Conference Paper | LibreCat-ID: 45812
Özcan, L., Fichtler, T., Kasten, B., Koldewey, C., & Dumitrescu, R. (2023). Interview Study on Strategy Options for Platform Operation in B2B Markets. ISPIM Innovation Conference, Ljubljana.
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2022 | Conference Paper | LibreCat-ID: 33997
Özcan, L., Kirchberg, L., Koldewey, C., & Dumitrescu, R. (2022). Performance Management Approach for Digital Platforms in B2B Markets. In I. Bitran, L. Bitetti, S. Conn, J. Fishburn, E. Huizingh, M. Torkkeli, & J. Yang (Eds.), The Role of Innovation: Past, Present, Future.
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2022 | Conference Paper | LibreCat-ID: 33991
Özcan, L., Koldewey, C., Duparc, E., van der Valk, H., Otto, B., & Dumitrescu, R. (2022). Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors. 28th Americas Conference on Information Systems (AMCIS), Minneapolis.
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2022 | Book Chapter | LibreCat-ID: 34209
Shi, Y., Harzheim, S., Hofmann, M., & Wallmersperger, T. (2022). A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement. In Material Modeling and Structural Mechanics. Springer International Publishing. https://doi.org/10.1007/978-3-030-97675-0_9
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2022 | Conference Paper | LibreCat-ID: 31066
Schön, O., Götte, R.-S., & Timmermann, J. (2022). Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55(12), 19–24. https://doi.org/10.1016/j.ifacol.2022.07.282
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2022 | Conference Paper | LibreCat-ID: 48882
Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., & Trautmann, H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII) (pp. 192–206). Springer International Publishing. https://doi.org/10.1007/978-3-031-14714-2_14
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2022 | Conference Paper | LibreCat-ID: 48896
Rook, J., Trautmann, H., Bossek, J., & Grimme, C. (2022). On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 356–359. https://doi.org/10.1145/3520304.3528998
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2021 | Journal Article | LibreCat-ID: 21004
Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276
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2021 | Journal Article | LibreCat-ID: 21808 | 
Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503
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2021 | Working Paper | LibreCat-ID: 33854 |
Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.
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