Hillebrand M, Lakhani M, Dumitrescu R. A design methodology for deep reinforcement learning for autonomous Systems. In: Procedia Manufacturing 52. ; 2020:266-271. doi:https://doi.org/10.1016/j.promfg.2020.11.044
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Reinhart F, von Enzberg S, Kühn A, Dumitrescu R. Machine Learning for Process-X: A Taxonomy. In: Beyerer J, Maier A, Niggemann O, eds. Machine Learning for Cyber Physical Systems. Technologien Für Die Intelligente Automation (Technologies for Intelligent Automation). Vol 11. Springer Vieweg, Berlin, Heidelberg; 2020:25-33.
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Henkenjohann M, Joppen R, Köchling D, von Enzberg S, Kühn A, Dumitrescu R. Identification and specification of standard modules in production for a material flow simulation. In: Procedia CIRP. ; 2020.
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Grote E-M, Pfeifer S, Röltgen D, Kühn A, Dumitrescu R. Towards defining role models in Advanced Systems Engineering. In: Proceedings of the 2020 IEEE International Symposium on Systems Engineering. ; 2020.
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Dumitrescu R, Tschirner C, Bansmann M. Systems Engineering als Grundlage der Gestaltung digitaler Arbeitswelten in der Produktentstehung. In: Maier G, Engels G, Steffen E, eds. Handbuch Gestaltung digitaler und vernetzter Arbeitswelten. Springer-Verlag GmbH; 2020:405-432.
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Jager T, Niehues D. On the Real-World Instantiability of Admissible Hash Functions and Efficient Verifiable Random Functions. In: Lecture Notes in Computer Science. Cham; 2020. doi:10.1007/978-3-030-38471-5_13
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Binder S, Lorenz J. Update zur grunderwerbsteuerlichen Konzernklausel vor dem Hintergrund der jüngsten BFH-Rechtsprechung. Der Konzern. 2020;18(3):98-104.
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Blaufus K, Chirvi M, Huber H-P, Maiterth R, Sureth-Sloane C. Tax Misperception and Its Effects on Decision Making - a Literature Review. Vol No. 39.; 2020.
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Bornemann T, Schipp A, Sureth-Sloane C. 10.52569/ILCP9945__2018/2019 Umfrage Zur Steuerkomplexität in Deutschen Finanzverwaltungen.; 2020. doi:10.52569/ILCP9945
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Diller M, Lorenz J, Meier D. Tax Avoidance and Social Control. In: Neufeld JS, Buscher U, Lasch R, Möst D, Schönberger J, eds. 10.1007/978-3-030-48439-2_77__Operations Research Proceedings 2019. Springer; 2020:633-639. doi:10.1007/978-3-030-48439-2_77
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Eberhartinger E, Speitmann R, Sureth-Sloane C. Real Effects of Public Country-by-Country Reporting and the Firm Structure of European Banks. Vol 20-01.; 2020.
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Eberhartinger E, Speitmann R, Sureth-Sloane C. How Does Trust Affect Concessionary Behavior in Tax Bargaining? Vol No. 41.; 2020.
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Flagmeier V, Müller J, Sureth-Sloane C. When Do Firms Highlight Their Effective Tax Rate? Vol No. 37.; 2020.
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Heile V, Huber H-P, Maiterth R, Sureth-Sloane C. Steuerliche Maßnahmen als nützliches Mittel zur Bewältigung der Corona-Krise? - Ergebnisse einer Unternehmensbefragung. Deutsches Steuerrecht. 2020;58(42):2327-2334.
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Heile V, Huber H-P, Maiterth R, Sureth-Sloane C. Umfrage: Steuerliche Verwaltungskosten, Steuerliche Corona-Soforthilfemaßnahmen Und Investitionen in Der Krise.; 2020. doi:10.52569/RUHF6645
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Hoppe T. Tax Complexity in Australia – a Survey-Based Comparison to the OECD Average. Australian Tax Forum. 2020;35(4):451-475.
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Hoppe T. Tax Complexity in Australia - A Survey-Based Comparison to the OECD Average. Vol No. 14.; 2020.
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Hoppe T, Schanz D, Schipp A, Siegel F, Sturm S, Sureth-Sloane C. 2018 Global MNC Tax Complexity Survey.; 2020. doi:10.52569/RPVO1003
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Hoppe T, Schanz D, Sturm S, Sureth-Sloane C. Measuring Tax Complexity Across Countries: A Survey Study on MNCs. Vol No. 5.; 2020.
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Hoppe T, Schanz D, Sturm S, Sureth-Sloane C, Voget J. The Relation between Tax Complexity and Foreign Direct Investments: Evidence Across Countries. Vol No. 13.; 2020.
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Sureth-Sloane C. Steuerkomplexität als Standortfaktor. So komplex ist das Steuersystem in Deutschland. AWV-Informationen. 2020;(5):16-19.
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Henke L-S. Evaluation of a ReconOS-ROS Combination Based on a Video Processing Application.; 2020.
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Japs S, Kharatyan A, Kaiser L, Dumitrescu R. CONSENS 3D: Method for 3D-Environment Driven Domain Knowledge Elicitaion and System Model Generation. In: Proceedings of the 16th International Design Conference (DESIGN 2020). ; 2020.
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Pfeifer S, Seidenberg T, Jürgenhake C, Anacker H, Dumitrescu R. Towards a modular product architecture for electric ferries using Model- Based Systems Engineering. In: Procedia Manufacturing. ; 2020.
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Wiecher C, Japs S, Kaiser L, Greenyer J, Wolff C, Dumitrescu R. Scenarios in the Loop: Integrated Requirements  Analysis and Automotive System Validation. In: ACM/IEEE 23rd  International Conference on Model Driven Engineering Languages and Systems  (MODELS ’20 Companion). ; 2020.
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Yee J, Low CY, Ong P, et al. Verification of Mathematical Model for Upper Limb Spasticity with Clinical Data. In: IOP Conference Series: Materials Science and Engineering. ; 2020. doi:10.1088/1757-899x/824/1/012013
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Heggemann T, Homberg W, Sapli H. Combined Curing and Forming of Fiber Metal Laminates. Procedia Manufacturing. 2020:36-42. doi:10.1016/j.promfg.2020.04.118
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Anjorin A, Weidmann N, Oppermann R, Fritsche L, Schürr A. Automating test schedule generation with domain-specific languages. In: Syriani E, Sahraoui H, de Lara J, Abrahao S, eds. Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020. ACM; 2020. doi:10.1145/3365438.3410991
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Weidmann N, Fritsche L, Anjorin A. A search-based and fault-tolerant approach to concurrent model synchronisation. In: Lämmel R, Tratt L, de Lara J, eds. Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, SLE 2020. ACM; 2020. doi:10.1145/3426425.3426932
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Weidmann N, Anjorin A, Cheney J. VICToRy: Visual Interactive Consistency Management in Tolerant Rule-based Systems. In: Hoffmann B, Minas M, eds. Proceedings of the Eleventh International Workshop on Graph Computation Models, GCM@STAF 2020. EPTCS; 2020:1-12. doi:10.4204/eptcs.330.1
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Jovanovikj I, Weidmann N, Yigitbas E, Anjorin A, Sauer S, Engels G. A Model-Driven Mutation Framework for Validation of Test Case Migration. In: Babur Ö, Denil J, Vogel-Heuser B, eds. Proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020 . Cham: Springer; 2020. doi:10.1007/978-3-030-58167-1_2
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Bernijazov R, Özcan L, Dumitrescu R, eds. AI Marketplace – The Ecosystem for Artificial Intelligence in Product Creation .; 2020:36-37.
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Sapli H, Heggemann T, Homberg W. Combined Curing and Deep Drawing of Fiber Metal Laminates to Spherical Hybrid Components. In: ; 2020.
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Bengs V, Hüllermeier E. Preselection Bandits. In: International Conference on Machine Learning. ; 2020:778-787.
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Bengs V, Hüllermeier E. Multi-Armed Bandits with Censored Consumption of Resources. arXiv:201100813. 2020.
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Ortmann R, Pelster M, Wengerek ST. COVID-19 and investor behavior. Finance Research Letters. 2020. doi:10.1016/j.frl.2020.101717
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Lange S, Schroder D, Hedayat C, Hangmann C, Otto T, Hilleringmann U. Investigation of the Surface Equivalence Principle on a Metal Surface for a Near-Field to Far-Field Transformation by the N. In: 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE. IEEE; 2020. doi:10.1109/emceurope48519.2020.9245697
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Schroder D, Lange S, Hangmann C, Hedayat C. Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs. In: Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis. 1st ed. Croyton, UK:10.1049/pbcs072e_ch14__The Institution of Engineering and Technology (IET); 2020:315-346 (32). doi:10.1049/pbcs072e_ch14
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Berger T, Lanza LJ. Observers for Differential-Algebraic Systems with Lipschitz or Monotone Nonlinearities. In: Progress in Differential-Algebraic Equations II. Cham; 2020. doi:10.1007/978-3-030-53905-4_9
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Gatica CP, Platzner M. Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures. In: Machine Learning for Cyber Physical Systems (ML4CPS 2017). Berlin, Heidelberg; 2020. doi:10.1007/978-3-662-59084-3_9
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Meschede H. Analysis on the demand response potential in hotels with varying probabilistic influencing time-series for the Canary Islands. Renewable Energy. 2020:1480-1491. doi:10.1016/j.renene.2020.06.024
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Graf-Schlattmann M, Meister DM, Oevel G, Wilde M. Kollektive Veränderungsbereitschaft als zentraler Erfolgsfaktor von Digitalisierungsprozessen an Hochschulen. Forschungsperspektiven auf Digitalisierung in Hochschulen, Zeitschrift für Hochschulentwicklung. 2020;15(1).
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Hampel U, Schubert M, Döß A, et al. Recent Advances in Experimental Techniques for Flow and Mass Transfer Analyses in Thermal Separation Systems. Chemie Ingenieur Technik. 2020;92:926-948. doi:10.1002/cite.202000076
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Jazayeri B, Schwichtenberg S, Küster J, Zimmermann O, Engels G. Modeling and Analyzing Architectural Diversity of Open Platforms. In: Advanced Information Systems Engineering. Cham; 2020. doi:10.1007/978-3-030-49435-3_3
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Bäumer FS, Kersting J, Buff B, Geierhos M. Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging. In: Audrius L, Rita B, Daina G, Vilma S, eds. Information and Software Technologies. Vol 1283. Communications in Computer and Information Science. Springer; 2020:368--382. doi:https://doi.org/10.1007/978-3-030-59506-7_30
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Kucklick J-P, Müller O. Location, location, location: Satellite image-based real-estate  appraisal. In: Symposium on Statistical Challenges in Electronic Commerce Research (SCECR). ; 2020.
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Grabo M, Staggenborg C, Kenig E. Modellierung und Optimierung makroverkapselter Latentwärmespeicherelemente für ein luftgeführtes Wärmespeichersystem. In: ; 2020.
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Moritzer E, Hüttner M, Henning B, Webersen M. The Influence of Hydrothermal Aging on the Material Properties of Continuous Fiber-Reinforced Thermoplastics and its Non-Destructive Characterization. In: Hopmann C, Dahlmann R, eds. Advances in Polymer Processing 2020. Berlin, Heidelberg: Springer; 2020. doi:10.1007/978-3-662-60809-8_16
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Witschen LM, Wiersema T, Platzner M. Proof-carrying Approximate Circuits. IEEE Transactions On Very Large Scale Integration Systems. 2020;28(9):2084-2088. doi:10.1109/TVLSI.2020.3008061
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Alberto Oliveira de Souza Junior C, Bispo J, Cardoso JMP, Diniz PC, Marques E. Exploration of FPGA-Based Hardware Designs for QR Decomposition for Solving Stiff ODE Numerical Methods Using the HARP Hybrid Architecture. Electronics. 2020. doi:10.3390/electronics9050843
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