Interview Study on Strategy Options for Platform Operation in B Markets
L. Özcan, T. Fichtler, B. Kasten, C. Koldewey, R. Dumitrescu, in: 2023.
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Performance Management Approach for Digital Platforms in B Markets
L. Özcan, L. Kirchberg, C. Koldewey, R. Dumitrescu, in: I. Bitran, L. Bitetti, S.  Conn, J. Fishburn, E. Huizingh, M. Torkkeli, J. Yang (Eds.), The Role of Innovation: Past, Present, Future, Athens, 2022.
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Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors
L. Özcan, C. Koldewey, E. Duparc, H. van der Valk, B. Otto, R. Dumitrescu, in: 2022.
LibreCat: /record/33991

A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement
Y. Shi, S. Harzheim, M. Hofmann, T. Wallmersperger, in: Material Modeling and Structural Mechanics, Springer International Publishing, Cham, 2022.
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Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.
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BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.
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On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359.
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AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.
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Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).
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DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning
S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.
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A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
A. Bender, Machines 9 (2021).
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Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties
A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.
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Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers &; Operations Research 136 (2021) 105489.
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Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers
D. Beverungen, D. Kundisch, N. Wünderlich, Journal of Service Management 32 (2021) 507–532.
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The Online Multi-Commodity Facility Location Problem
J. Castenow, B. Feldkord, T. Knollmann, M. Malatyali, F. Meyer auf der Heide, in: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020.
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5GOS: Demonstrating multi-domain orchestration of end-to-end virtual RAN services
D. Camps-Mur, F.  Canellas, A. Machwe, J. Paracuellos, K. Choumas, D. Giatsios, T. Korakis, H. Razzaghi Kouchaksaraei, in: The 6th IEEE International Conference on Network Softwarization (IEEE NetSoft 2020), n.d.
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Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints
B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, Production Engineering 14 (2020) 417–423.
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A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.
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Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 166–174.
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A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).
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Approaches for Collaborative Security Defences in Multi Network Environments
R. Koning, G. Polevoy, L. Meijer, C. de Laat, P. Grosso, 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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Using complex multi-dimensional vibration trajectories in ultrasonic bonding and welding
R. Schemmel, T. Hemsel, C. Dymel, M. Hunstig, M. Brökelmann, W. Sextro, Sensors and Actuators A: Physical 295 (2019) 653–662.
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Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, Cham, 2019, pp. 516–528.
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On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem
J. Bossek, C. Grimme, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2019, pp. 516–523.
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Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges
A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, W. Sextro, in: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018.
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A Peer-to-Peer based Cloud Storage supporting orthogonal Range Queries of arbitrary Dimension
M. Benter, T. Knollmann, F. Meyer auf der Heide, A. Setzer, J. Sundermeier, in: Proceedings of the 4th International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD), 2018.
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Local Search Effects in Bi-Objective Orienteering
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2018, pp. 585–592.
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Contrasting Risk Perceptions of Technology-Based Service Innovations in Inter-Organizational Settings.
S. Paluch, N. Wünderlich, Journal of Business Research 69 (2016) 2424--2431.
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The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.
A. Scherer, N. Wünderlich, F. Von Wangenheim, MIS Quarterly 39 (2015) 177–200.
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A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory
E. Weishäupl, E. Yasasin, G. Schryen, in: International Conference on Information Systems, 2015.
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Hierarchisches Optimierungskonzept für die Laststeuerung von Haushaltsgeräten
K.S.C. Stille, J. Böcker, R. Bettentrup, I. Kaiser, in: ETG-Fachtagung “Von Smart Grids Zu Smart Markets,” VDE, Kassel, 2015.
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Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle
S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference , Association for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.
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Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework
M. Sjöklint, I. Constantiou, M. Trier, in: ECIS 2013 Proceedings, Association for Information Systems. AIS Electronic Library (AISeL), 2013.
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Efficient Power-Intent Validation Using "Loosely-Timed" Simulation Models: A Non-Invasive Approach
F. Mischkalla, W. Müller, in: IEEE, Karlsruhe, 2013.
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An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors
D. He, W. Müller, in: H. Weghorn (Ed.), Proceedings of the International Conference on Applied Computing (AC), Fort Worth, Texas, USA, 2013.
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RTOS-Aware Refinement for TLM2.0-based HW/SW Design
M. Becker, G. Di Guglielmo, F. Fummi, W. Müller, G. Pravadelli, T. Xie, in: Proceedings of DATE’10, IEEE, Dresden, 2010.
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Work roll cooling system design optimisation in presence of uncertainty and constrains
Y.T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, H. Trautmann, CIRP Journal of Manufacturing Science and Technology 2 (2010) 290–298.
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Online Diarization of Streaming Audio-Visual Data for Smart Environments
J. Schmalenstroeer, R. Haeb-Umbach, IEEE Journal of Selected Topics in Signal Processing 4 (2010) 845–856.
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Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning
M. Bevermeier, S. Peschke, R. Haeb-Umbach, in: IEEE 69th Vehicular Technology Conference (VTC 2009 Spring), 2009, pp. 1–5.
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Increased Accuracy through Noise Injection in Abstract RTOS Simulation
H. Zabel, W. Müller, in: Proceedings of DATE’09, Nice, France, 2009.
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Assessment of a Multimodal Interaction and Rendering System against Established Design Principles
R. Schäfer, W. Müller, Journal on Multimodal User Interfaces 2 (2008) 25–41.
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How can multimodal cues from child-directed interaction reduce learning complexity in robots?
K. Rohlfing, J. Fritsch, B. Wrede, T. Jungmann, Advanced Robotics 20 (2006) 1183–1199.
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Secure Profile Management in Smart Home Networks
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Virtualizing Hardware with Multi-Context Reconfigurable Arrays
R. Enzler, C. Plessl, M. Platzner, in: Proc. Int. Conf. on Field Programmable Logic and Applications (FPL), Springer, 2003, pp. 151–160.
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Visual-Textual Prototyping of 4D Scenes
M. Dücker, C. Geiger, R. Hunstock, G. Lehrenfeld, W. Müller, in: Proceedings of the 1997 IEEE Symposium on Visual Languages, Capri, Italy, 1997.
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Complete Visual Specification and Animations of Protocols
W. Müller, G. Lehrenfeld, C. Tahedl, in: Proceedings of ASP-DAC’95/CHDL’95/VLSI’95 with EDA Technofair, Chiba, Japan , 1995.
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