Özcan, Leon, et al. Interview Study on Strategy Options for Platform Operation in B Markets. 2023.

Özcan, Leon, et al. “Performance Management Approach for Digital Platforms in B Markets.” The Role of Innovation: Past, Present, Future, edited by Iain Bitran et al., 2022.

Özcan, Leon, et al. Why Do Digital Platforms Succeed or Fail? - A Literature Review on Success and Failure Factors. 2022.

Shi, Yuhao, et al. “A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement.”10.1007/978-3-030-97675-0_9__Material Modeling and Structural Mechanics, Springer International Publishing, 2022, doi:10.1007/978-3-030-97675-0_9.

Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.”https://doi.org/10.1016/j.ifacol.2022.07.282__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.

Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.”10.1007/978-3-031-14714-2_14__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.

Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.”10.1145/3520304.3528998__Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.

Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.”10.1109/tpami.2021.3051276__IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.

Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.”10.1109/TNSM.2021.3076503__Transactions on Network and Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503.

Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.

Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions.”10.3390/machines9100210__Machines, vol. 9, no. 10, 210, 2021, doi:10.3390/machines9100210.

Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties.”https://doi.org/10.36001/phme.2021.v6i1.2843 __Proceedings of the European Conference of the PHM Society 2021, edited by Phuchttps://doi.org/10.36001/phme.2021.v6i1.2843 __Do et al., vol. 6, no. 1, 2021, doi:https://doi.org/10.36001/phme.2021.v6i1.2843 .

Grimme, Christian, 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, 2021, p. 105489, doi:https://doi.org/10.1016/j.cor.2021.105489.

Beverungen, Daniel, et al. “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, Emerald Insight, 2021, pp. 507–32, doi:10.1108/JOSM-03-2020-0066.

Castenow, Jannik, et al. “The Online Multi-Commodity Facility Location Problem.”10.1145/3350755.3400281__Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020, doi:10.1145/3350755.3400281.

Camps-Mur, Daniel, et al. “GOS: Demonstrating Multi-Domain Orchestration of End-to-End Virtual RAN Services.” The 6th IEEE International Conference on Network Softwarization (IEEE NetSoft 2020).

Uhe, Benedikt, et al. “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, 2020, pp. 417–23, doi:10.1007/s11740-020-00973-w.

Bossek, Jakob, et al. “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, 2020, p. 105901, doi:https://doi.org/10.1016/j.asoc.2019.105901.

Bossek, Jakob, et al. “Dynamic Bi-Objective Routing of Multiple Vehicles.”10.1145/3377930.3390146__Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2020, pp. 166–174, doi:10.1145/3377930.3390146.

Bossek, Jakob, et al. “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.