Özcan L, Fichtler T, Kasten B, Koldewey C, Dumitrescu R. Interview Study on Strategy Options for Platform Operation in B Markets. In: ; 2023.
LibreCat: /record/45812

Özcan L, Kirchberg L, Koldewey C, Dumitrescu R. Performance Management Approach for Digital Platforms in B Markets. In: Bitran I, Bitetti L,  Conn S, et al., eds. The Role of Innovation: Past, Present, Future. ; 2022.
LibreCat: /record/33997

Özcan L, Koldewey C, Duparc E, van der Valk H, Otto B, Dumitrescu R. Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors. In: ; 2022.
LibreCat: /record/33991

Shi Y, Harzheim S, Hofmann M, Wallmersperger T. A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement. In: Material Modeling and Structural Mechanics. Springer International Publishing; 2022. doi:10.1007/978-3-030-97675-0_9
LibreCat: /record/34209
DOI: 10.1007/978-3-030-97675-0_9

Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022). Vol 55. ; 2022:19-24. 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

Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tusar T, eds. Parallel Problem Solving from Nature (PPSN XVII). Lecture Notes in Computer Science. Springer International Publishing; 2022:192–206. doi:10.1007/978-3-031-14714-2_14
LibreCat: /record/48882
DOI: 10.1007/978-3-031-14714-2_14

Rook J, Trautmann H, Bossek J, Grimme C. On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO’22. Association for Computing Machinery; 2022:356–359. doi:10.1145/3520304.3528998
LibreCat: /record/48896
DOI: 10.1145/3520304.3528998

Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276
LibreCat: /record/21004
DOI: 10.1109/tpami.2021.3051276

Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503
LibreCat: /record/21808
DOI: 10.1109/TNSM.2021.3076503

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

Bender A. A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions. Machines. 2021;9(10). doi:10.3390/machines9100210
LibreCat: /record/25046
DOI: 10.3390/machines9100210

Bender A, Sextro W. Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties. In: Do P, King S, Finkhttps://doi.org/10.36001/phme.2021.v6i1.2843 __Olga, eds. Proceedings of the European Conference of the PHM Society 2021. Vol 6. ; 2021. doi:https://doi.org/10.36001/phme.2021.v6i1.2843 
LibreCat: /record/22724
DOI: https://doi.org/10.36001/phme.2021.v6i1.2843 

Grimme C, Kerschke P, Aspar P, et al. Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Computers &; Operations Research. 2021;136:105489. doi:https://doi.org/10.1016/j.cor.2021.105489
LibreCat: /record/46318
DOI: https://doi.org/10.1016/j.cor.2021.105489

Beverungen D, Kundisch D, Wünderlich N. Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers. Journal of Service Management. 2021;32(4):507-532. doi:10.1108/JOSM-03-2020-0066
LibreCat: /record/17860
DOI: 10.1108/JOSM-03-2020-0066

Castenow J, Feldkord B, Knollmann T, Malatyali M, Meyer auf der Heide F. The Online Multi-Commodity Facility Location Problem. In: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures. ; 2020. doi:10.1145/3350755.3400281
LibreCat: /record/17370
DOI: 10.1145/3350755.3400281
arXiv: 2005.08391

Camps-Mur D,  Canellas F, Machwe A, et al. 5GOS: Demonstrating multi-domain orchestration of end-to-end virtual RAN services. In: The 6th IEEE International Conference on Network Softwarization (IEEE NetSoft 2020).
LibreCat: /record/16218

Uhe B, Kuball C-M, Merklein M, Meschut G. Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints. Production Engineering. 2020;14:417-423. doi:10.1007/s11740-020-00973-w
LibreCat: /record/19973
DOI: 10.1007/s11740-020-00973-w

Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi:https://doi.org/10.1016/j.asoc.2019.105901
LibreCat: /record/46334
DOI: https://doi.org/10.1016/j.asoc.2019.105901

Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’20. Association for Computing Machinery; 2020:166–174. doi:10.1145/3377930.3390146
LibreCat: /record/48845
DOI: 10.1145/3377930.3390146

Bossek J, Kerschke P, Trautmann H. A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing. 2020;88(C). doi:10.1016/j.asoc.2019.105901
LibreCat: /record/48848
DOI: 10.1016/j.asoc.2019.105901