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50 Publications
2024 | Journal Article | LibreCat-ID: 56221
Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., & Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2024.3458855
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2024 | Conference Paper | LibreCat-ID: 56983
Qudus, U., Röder, M., Vollmers, D., & Ngonga Ngomo, A.-C. (2024). ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 9, 3994–3999. https://doi.org/10.1145/3627673.3679923
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2024 | Conference Paper | LibreCat-ID: 58324
Müller, I. (2024). Zu den Unwägbarkeiten des Erbes - Unzuverlässiges Postmemory-Erzählen in den Gesellschaftsromanen “Das flüssige Land” von Raphaela Edelbauer und in “Dunkelblum” von Eva Menasse. In L. Karlsson Hammarfelt, E. Platen, & P. Platen (Eds.), Von neuen Blicken auf die frühe Nachkriegszeit (pp. 112–126). iudicium.
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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: 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: 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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2022 | Conference Paper | LibreCat-ID: 33997
Özcan, L., Kirchberg, L. I., 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: 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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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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2021 | Journal Article | LibreCat-ID: 25046 |
Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article 210. https://doi.org/10.3390/machines9100210
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2021 | Journal Article | LibreCat-ID: 46318
Grimme, C., Kerschke, P., Aspar, P., Trautmann, H., Preuss, M., Deutz, A. H., Wang, H., & Emmerich, M. (2021). Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Computers & Operations Research, 136, 105489. https://doi.org/10.1016/j.cor.2021.105489
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2021 | Journal Article | LibreCat-ID: 17860
Beverungen, D., Kundisch, D., & Wünderlich, N. (2021). Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers. Journal of Service Management, 32(4), 507–532. https://doi.org/10.1108/JOSM-03-2020-0066
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2021 | Conference Paper | LibreCat-ID: 22724 |
Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021 (Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843
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2020 | Conference Paper | LibreCat-ID: 17370
Castenow, J., Feldkord, B., Knollmann, T., Malatyali, M., & Meyer auf der Heide, F. (2020). The Online Multi-Commodity Facility Location Problem. In Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures. https://doi.org/10.1145/3350755.3400281
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2020 | Conference Paper | LibreCat-ID: 16218
Camps-Mur, D., Canellas, F., Machwe, A., Paracuellos, J., Choumas, K., Giatsios, D., … Razzaghi Kouchaksaraei, H. (n.d.). 5GOS: Demonstrating multi-domain orchestration of end-to-end virtual RAN services. In the 6th IEEE International Conference on Network Softwarization (IEEE NetSoft 2020). Ghent, Belgium.
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2020 | Conference Paper | LibreCat-ID: 48845
Bossek, J., Grimme, C., & Trautmann, H. (2020). Dynamic Bi-Objective Routing of Multiple Vehicles. Proceedings of the Genetic and Evolutionary Computation Conference, 166–174. https://doi.org/10.1145/3377930.3390146
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