L. Özcan, T. Fichtler, B. Kasten, C. Koldewey, and R. Dumitrescu, “Interview Study on Strategy Options for Platform Operation in B Markets,” presented at the ISPIM Innovation Conference, Ljubljana, 2023.
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L. Özcan, L. Kirchberg, C. Koldewey, and R. Dumitrescu, “Performance Management Approach for Digital Platforms in B Markets,” in The Role of Innovation: Past, Present, Future, Athens, 2022.
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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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Y. Shi, S. Harzheim, M. Hofmann, and T. Wallmersperger, “A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement,” in Material Modeling and Structural Mechanics, Cham: Springer International Publishing, 2022.
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O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,”https://doi.org/10.1016/j.ifacol.2022.07.282__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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J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,”10.1007/978-3-031-14714-2_14__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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J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,”10.1145/3520304.3528998__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 356–359, doi:10.1145/3520304.3528998 .
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M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,”10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2021, doi:10.1109/tpami.2021.3051276 .
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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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S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
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A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions,”10.3390/machines9100210__Machines, vol. 9, no. 10, Art. no. 210, 2021, doi:10.3390/machines9100210 .
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A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties,”https://doi.org/10.36001/phme.2021.v6i1.2843 __in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, doi:https://doi.org/10.36001/phme.2021.v6i1.2843  .
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C. Grimme et al., “Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization,”https://doi.org/10.1016/j.cor.2021.105489__Computers &; Operations Research, vol. 136, p. 105489, 2021, doi:https://doi.org/10.1016/j.cor.2021.105489 .
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D. Beverungen, D. Kundisch, and N. Wünderlich, “Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers,”10.1108/JOSM-03-2020-0066__Journal of Service Management, vol. 32, no. 4, pp. 507–532, 2021, doi:10.1108/JOSM-03-2020-0066 .
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J. Castenow, B. Feldkord, T. Knollmann, M. Malatyali, and F. Meyer auf der Heide, “The Online Multi-Commodity Facility Location Problem,” in Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020.
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D. Camps-Mur et al., “GOS: 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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B. Uhe, C.-M. Kuball, M. Merklein, and G. Meschut, “Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints,”10.1007/s11740-020-00973-w__Production Engineering, vol. 14, pp. 417–423, 2020, doi:10.1007/s11740-020-00973-w .
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J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, p. 105901, 2020, doi:https://doi.org/10.1016/j.asoc.2019.105901 .
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J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,”10.1145/3377930.3390146__in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 166–174, doi:10.1145/3377930.3390146 .
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J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,”10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, no. C, 2020, doi:10.1016/j.asoc.2019.105901 .
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R. Koning, G. Polevoy, L. Meijer, C. de Laat, and P. Grosso, “Approaches for Collaborative Security Defences in Multi Network Environments,” in 2019 6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2019, pp. 113–123.
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R. Schemmel, T. Hemsel, C. Dymel, M. Hunstig, M. Brökelmann, and W. Sextro, “Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding,”10.1016/j.sna.2019.04.025__Sensors and Actuators A: Physical, vol. 295, pp. 653–662, 2019, doi:10.1016/j.sna.2019.04.025 .
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J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm,”10.1007/978-3-030-12598-1_41__in Evolutionary Multi-Criterion Optimization (EMO), 2019, pp. 516–528, doi:10.1007/978-3-030-12598-1_41 .
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J. Bossek, C. Grimme, and F. Neumann, “On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem,”10.1145/3321707.3321818__in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 516–523, doi:10.1145/3321707.3321818 .
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A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, and W. Sextro, “Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges,” in In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577.
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M. Benter, T. Knollmann, F. Meyer auf der Heide, A. Setzer, and J. Sundermeier, “A Peer-to-Peer based Cloud Storage supporting orthogonal Range Queries of arbitrary Dimension,” in Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD), Helsinki, 2018.
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J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Local Search Effects in Bi-Objective Orienteering,”10.1145/3205455.3205548__in Proceedings of the Genetic and Evolutionary Computation Conference, 2018, pp. 585–592, doi:10.1145/3205455.3205548 .
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E. Weishäupl, E. Yasasin, and G. Schryen, “A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory,” in International Conference on Information Systems, 2015.
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K. S. C. Stille, J. Böcker, R. Bettentrup, and I. Kaiser, “Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten,” 2015.
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S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann, “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle,”10.1145/2739480.2754705__in Proceedings of the Genetic and Evolutionary Computation Conference , 2015, pp. 425–432, doi:10.1145/2739480.2754705 .
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M. Sjöklint, I. Constantiou, and M. Trier, “Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework,” in ECIS 2013 Proceedings, 2013.
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D. He and W. Müller, “An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors,” in Proceedings of the International Conference on Applied Computing (AC), 2013.
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Y. T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, and H. Trautmann, “Work roll cooling system design optimisation in presence of uncertainty and constrains,”https://doi.org/10.1016/j.cirpj.2010.06.001__CIRP Journal of Manufacturing Science and Technology, vol. 2, no. 4, pp. 290–298, 2010, doi:https://doi.org/10.1016/j.cirpj.2010.06.001 .
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M. Bevermeier, S. Peschke, and R. Haeb-Umbach, “Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning,” in IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.
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R. Schäfer and W. Müller, “Assessment of a Multimodal Interaction and Rendering System against Established Design Principles,”10.1007/s12193-008-0003-3__Journal on Multimodal User Interfaces, vol. 2, no. 1, pp. 25–41, 2008, doi:10.1007/s12193-008-0003-3 .
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K. Rohlfing, J. Fritsch, B. Wrede, and T. Jungmann, “How can multimodal cues from child-directed interaction reduce learning complexity in robots?,”10.1163/156855306778522532__Advanced Robotics, vol. 20, no. 10, pp. 1183–1199, 2006, doi:10.1163/156855306778522532 .
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R. Enzler, C. Plessl, and M. Platzner, “Virtualizing Hardware with Multi-Context Reconfigurable Arrays,” in Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), 2003, vol. 2778, pp. 151–160.
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