Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
46 Publications
- 1 (current)
- 2
- 3
- 4
- 5
2023 | Conference Paper | LibreCat-ID: 45812
Özcan, Leon, Timm Fichtler, Benjamin Kasten, Christian Koldewey, and Roman Dumitrescu. “Interview Study on Strategy Options for Platform Operation in B2B Markets,” 2023.
LibreCat
2022 | Conference Paper | LibreCat-ID: 33997
Özcan, Leon, Lisa Kirchberg, Christian Koldewey, and Roman Dumitrescu. “Performance Management Approach for Digital Platforms in B2B Markets.” In The Role of Innovation: Past, Present, Future, edited by Iain Bitran, Leandro Bitetti, Steffen Conn, Jessica Fishburn, Eelko Huizingh, Marko Torkkeli, and Jialei Yang. Athens, 2022.
LibreCat
| Files available
2022 | Conference Paper | LibreCat-ID: 33991
Özcan, Leon, Christian Koldewey, Estelle Duparc, Hendrik van der Valk, Boris Otto, and Roman Dumitrescu. “Why Do Digital Platforms Succeed or Fail? - A Literature Review on Success and Failure Factors,” 2022.
LibreCat
| Files available
| Download (ext.)
2022 | Book Chapter | LibreCat-ID: 34209
Shi, Yuhao, Sven Harzheim, Martin Hofmann, and Thomas Wallmersperger. “A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement.” In Material Modeling and Structural Mechanics. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-97675-0_9.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 31066
Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “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), 55:19–24, 2022. https://doi.org/10.1016/j.ifacol.2022.07.282.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 48882
Heins, Jonathan, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tusar, 192–206. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_14.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 48896
Rook, Jeroen, Heike Trautmann, Jakob Bossek, and Christian Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 356–359. GECCO’22. New York, NY, USA: Association for Computing Machinery, 2022. https://doi.org/10.1145/3520304.3528998.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 21808 | 
Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, 2021. https://doi.org/10.1109/TNSM.2021.3076503.
LibreCat
| Files available
| DOI
2021 | Working Paper | LibreCat-ID: 33854 |
Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
LibreCat
| Files available
- 1 (current)
- 2
- 3
- 4
- 5