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9315 Publications
2018 | Mastersthesis | LibreCat-ID: 3313
A. Maurer, Kundenbewertungen und Produktnachfrage: Eine ökonomische Analyse. Universität Paderborn, 2018.
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2018 | Mastersthesis | LibreCat-ID: 3314
L. J. Michels, The Segmentation of Video-On-Demand Consumers. Universität Paderborn, 2018.
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2018 | Mastersthesis | LibreCat-ID: 3315
M. Walter, Sentiment Analysis of User-generated Ratings in the Sharing Economy . Universität Paderborn, 2018.
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2018 | Mastersthesis | LibreCat-ID: 3316
H. Korn, Restaurant reputation and meal prices: empricial evidence from the German restaurant industry. Universität Paderborn, 2018.
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2018 | Bachelorsthesis | LibreCat-ID: 3320
K. Rautenberg, Korrektheitsbeweise für Muster von Servicekompositionen. Universität Paderborn, 2018.
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2018 | Conference Paper | LibreCat-ID: 3345 |
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M. Peuster, H. Küttner, and H. Karl, “ Let the state follow its flows: An SDN-based flow handover protocol to support state migration,” in 4th IEEE International Conference on Network Softwarization (NetSoft 2018), Montreal.
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2018 | Conference Paper | LibreCat-ID: 3346 |
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M. Peuster, J. Kampmeyer, and H. Karl, “Containernet 2.0: A Rapid Prototyping Platform for Hybrid Service Function Chains,” in 4th IEEE International Conference on Network Softwarization (NetSoft 2018), Montreal.
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2018 | Conference Paper | LibreCat-ID: 3347 |
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M. Peuster, M. Marchetti, G. Garcia de Blas, and H. Karl, “Emulation-based Smoke Testing of NFV Orchestrators in Large Multi-PoP Environments,” in European Conference on Networks and Communications (EuCNC), Ljubljana.
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2018 | Conference Paper | LibreCat-ID: 3362
A. Lösch, A. Wiens, and M. Platzner, “Ampehre: An Open Source Measurement Framework for Heterogeneous Compute Nodes,” in Proceedings of the International Conference on Architecture of Computing Systems (ARCS), 2018, vol. 10793, pp. 73–84.
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2018 | Bachelorsthesis | LibreCat-ID: 3365
J.-P. Schnuer, Static Scheduling Algorithms for Heterogeneous Compute Nodes. Universität Paderborn, 2018.
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2018 | Bachelorsthesis | LibreCat-ID: 3366
M. Croce, Evaluation of OpenCL-based Compilation for FPGAs. Universität Paderborn, 2018.
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2018 | Conference Paper | LibreCat-ID: 3373
T. Hansmeier, M. Platzner, and D. Andrews, “An FPGA/HMC-Based Accelerator for Resolution Proof Checking,” in ARC 2018: Applied Reconfigurable Computing. Architectures, Tools, and Applications, Santorini, Greece, 2018, vol. 10824, pp. 153–165.
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2018 | Journal Article | LibreCat-ID: 3402
V. Melnikov and E. Hüllermeier, “On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis,” Machine Learning, 2018.
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2018 | Conference Paper | LibreCat-ID: 3414
P. Börding, J. F. Haltermann, M.-C. Jakobs, and H. Wehrheim, “JMCTest: Automatically Testing Inter-Method Contracts in Java,” in Proceedings of the IFIP International Conference on Testing Software and Systems (ICTSS 2018), Cádiz, Spain, 2018, vol. 11146, pp. 39--55.
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2018 | Conference Paper | LibreCat-ID: 3422
P. Robinson, C. Scheideler, and A. Setzer, “Breaking the $\tilde\Omega(\sqrt{n})$ Barrier: Fast Consensus under a Late Adversary,” in Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), Wien.
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2018 | Journal Article | LibreCat-ID: 3510 |
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F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated Machine Learning via Hierarchical Planning,” Machine Learning, pp. 1495–1515, 2018, doi: 10.1007/s10994-018-5735-z.
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2018 | Conference Paper | LibreCat-ID: 3550
B. Jazayeri, O. Zimmermann, G. Engels, J. Küster, D. Kundisch, and D. Szopinski, “Design Options of Store-Oriented Software Ecosystems: An Investigation of Business Decisions,” in Proceeding of International Symposium on Business Modeling and Software Design, 2018, vol. 319, pp. 390–400.
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2018 | Journal Article | LibreCat-ID: 3551
J. König, A. Mäcker, F. Meyer auf der Heide, and S. Riechers, “Scheduling with interjob communication on parallel processors,” Journal of Combinatorial Optimization, vol. 36, no. 4, pp. 1356–1379, 2018.
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2018 | Conference Paper | LibreCat-ID: 3552 |
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F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-Class Classification,” in Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands.
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