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.
LibreCat: /record/45812

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.
LibreCat: /record/33997

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.
LibreCat: /record/33991

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.
LibreCat: /record/34209
DOI: 10.1007/978-3-030-97675-0_9

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 .
LibreCat: /record/31066
DOI: https://doi.org/10.1016/j.ifacol.2022.07.282

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 .
LibreCat: /record/48882
DOI: 10.1007/978-3-031-14714-2_14

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 .
LibreCat: /record/48896
DOI: 10.1145/3520304.3528998

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 .
LibreCat: /record/21004
DOI: 10.1109/tpami.2021.3051276

S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.
LibreCat: /record/21808
DOI: 10.1109/TNSM.2021.3076503

S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.
LibreCat: /record/33854

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 .
LibreCat: /record/25046
DOI: 10.3390/machines9100210

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  .
LibreCat: /record/22724
DOI: https://doi.org/10.36001/phme.2021.v6i1.2843 

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 .
LibreCat: /record/46318
DOI: https://doi.org/10.1016/j.cor.2021.105489

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 .
LibreCat: /record/17860
DOI: 10.1108/JOSM-03-2020-0066

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.
LibreCat: /record/17370
DOI: 10.1145/3350755.3400281
arXiv: 2005.08391

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.
LibreCat: /record/16218

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 .
LibreCat: /record/19973
DOI: 10.1007/s11740-020-00973-w

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 .
LibreCat: /record/46334
DOI: https://doi.org/10.1016/j.asoc.2019.105901

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 .
LibreCat: /record/48845
DOI: 10.1145/3377930.3390146

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 .
LibreCat: /record/48848
DOI: 10.1016/j.asoc.2019.105901