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Czech, Mike. Predicting Rankings of Software Verification Tools Using Kernels for Structured Data. Universität Paderborn, 2016.
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Bause, Fabian. Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung Viskoelastischer Materialparameter von Polymeren. Universität Paderborn, 2016.
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Olfert, Sergei, and Bernd Henning. Anwendungsm\'22oglichkeiten Der Schallfeldvisualisierung in Der Ultraschallmesstechnik. LibreCat University, 20AD.
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Bause, F., and Bernd Henning. 5.3.1 - Ein Ultraschallbasiertes Inverses Messverfahren Zur Charakterisierung Viskoelastischer Materialparameter von Polymeren. LibreCat University, 2016, doi:10.5162/SENSOREN2016/5.3.1.
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Ester, S., et al. 3.2.3 - Direktgravimetrischer Partikelmasse-Sensor Zur Quasikontinuierlichen Emissionsmessung. LibreCat University, 2016, doi:10.5162/SENSOREN2016/3.2.3.
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Abshoff, Sebastian, et al. “Towards the Price of Leasing Online.”10.1007/s10878-015-9915-5__Journal of Combinatorial Optimization, no. 4, Springer, 2016, pp. 1197--1216, doi:10.1007/s10878-015-9915-5.
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Jungmann, Alexander. Towards On-The-Fly Image Processing. Universität Paderborn, 2016.
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Scheideler, Christian, et al. “Towards a Universal Approach for Monotonic Searchability in Self-Stabilizing Overlay Networks.”10.1007/978-3-662-53426-7_6__Proceedings of the 30th International Symposium on Distributed Computing (DISC), 2016, pp. 71--84, doi:10.1007/978-3-662-53426-7_6.
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Abu-Khzam, Faisal N., et al. “The Monotone Circuit Value Problem with Bounded Genus Is in NC.”10.1007/978-3-319-42634-1_8__Proceedings of the 22nd International Conference on Computing and Combinatorics (COCOON), 2016, pp. 92–102, doi:10.1007/978-3-319-42634-1_8.
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Feldotto, Matthias, and Kalman Graffi. “Systematic Evaluation of Peer-to-Peer Systems Using PeerfactSim.KOM.”10.1002/cpe.3716__Concurrency and Computation: Practice and Experience, vol. 28, no. 5, Wiley Online Library, 2016, pp. 1655–77, doi:10.1002/cpe.3716.
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Graf, Tobias, and Marco Platzner. “Using Deep Convolutional Neural Networks in Monte Carlo Tree Search.” Computer and Games, 2016.
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Graf, Tobias, and Marco Platzner. “Monte-Carlo Simulation Balancing Revisited.” IEEE Computational Intelligence and Games, 2016.
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Wiersema, Tobias, and Marco Platzner. “Verifying Worst-Case Completion Times for Reconfigurable Hardware Modules Using Proof-Carrying Hardware.”10.1109/ReCoSoC.2016.7533910__Proceedings of the 11th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC 2016), 2016, pp. 1--8, doi:10.1109/ReCoSoC.2016.7533910.
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Moritzer, Elmar, et al. An Approach to Non-Destructive Testing of Aged Polymers. Edited by The Polymer Processing Society, 2016.
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Moritzer, Elmar, et al. Non-Destructive Characterization of Hygrothermally Aged Polymers. Edited by Society of Plastics Engineers, 2016.
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Moritzer, Elmar, et al. “Ultraschallbasierte Charakterisierung von gealterten Polymeren.” Jahresmagazin Kunststofftechnik 2016, edited by Institut für Wissenschaftliche Veröffentlichungen, 2016, pp. 2–7.
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Webersen, Manuel, et al. Zerstörungsfreie Charakterisierung des hydrothermischen Alterungsverhaltens von Polymeren. Edited by AMA Service GmbH, 2016, pp. 683–88, doi:10.5162/sensoren2016/P6.4.
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Dewender, Markus. Verifikation von Service Kompositionen mit Spin. Universität Paderborn, 2016.
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Eikel, Martina. Insider-Resistent Distributed Storage Systems. Universität Paderborn, 2016.
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Fürnkranz, J., and Eyke Hüllermeier. “Preference Learning.” Encyclopedia of Machine Learning and Data Mining, edited by C. Sammut and G.I. Webb, Springer, 2016.
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Hoffmann, F., et al., editors.  Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016.
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Jasinska, K., et al. “Extreme F-Measure Maximization Using Sparse Probability Estimates .” Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, edited by M.F. Balcan and K.Q. Weinberger, 2016.
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Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate Using Uninorms,  in Proceedings ECML/PKDD-2016.” European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 756–71.
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Dembczynski, K., et al. “Consistency of Probalistic Classifier Trees.” In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva Del Garda, Italy, 2016, pp. 511–26.
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Shabani, Aulon, et al. “Predicting the Electricity Consumption of Buildings: An Improved CBR Approach.” In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–69.
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Pfannschmidt, Karlson, et al. “Evaluating Tests in Medical  Diagnosis-Combining Machine Learning with Game-Theoretical Concepts.” In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, Springer, 2016, pp. 450–61.
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Labreuche, C., et al. “On the Identifiability of Models in Multi-Criteria Preference Learning .” Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete et al., 2016.
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Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete et al., 2016.
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Couso, Ines, et al. “Statistical Inference for Incomplete Ranking Data: A Comparison of Two Likelihood-Based Estimators.” Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, edited by Robert Busa-Fekete et al., 2016.
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Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, edited by F. Hoffmann et al., 2016, pp. 1–8.
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Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.
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Kaminka, G. A., et al., editors. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285, IOS Press, 2016.
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Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, 2016, pp. 1423–34.
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Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016.
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Herlich, Matthias, et al. “Delayed (de-)Activation in Servers with a Sleep Mode.”10.1016/j.suscom.2016.04.002__Sustainable Computing: Informatics and Systems, vol. 10, Elsevier BV, 2016, pp. 48–55, doi:10.1016/j.suscom.2016.04.002.
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Adelt, Peer, et al. “Fast Dynamic Fault Injection for Virtual Microcontroller Platforms.”10.1109/VLSI-SoC.2016.7753545__Proceedings of the IEEE/IFIP International Conference on VLSI (VLSI-SOC), 2016, doi:10.1109/VLSI-SoC.2016.7753545.
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Mao, Yanfei, et al. “An All-Transmission-Line 220 GHz Differential LNA in SiGe BiCMOS.”10.1109/RFIT.2016.7578132__IEEE International Symposium on Radio-Frequency Integration Technology, 2016, doi:10.1109/RFIT.2016.7578132.
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Abughannam, Saed, et al. “Fault Injection and Mixed-Level Simulation for Analog Circuits - A Case Study.” Analog 2016 - VDE, 2016.
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Nava, Federico, et al. “Obstacle Detection Using a Miniaturized Radar Sensor Operating at 120GHz ISM Band.” DRONE Berlin 2016, 2016.
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Javed, Abdul Rehman, et al. “Linear Ultra-Broadband NPN-Only Analog Correlator at 33 Gbps in 130nm SiGe BiCMOS Technology.” 10.1109/BCTM.2016.7738962__IEEE Bipolar/BiCMOS Circuits and Technology Meeting, IEEE, 2016, doi: 10.1109/BCTM.2016.7738962.
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Jatzkowski, Jan, et al. “Hierarchical Scheduling for Plug-and-Produce.” 10.1016/j.protcy.2016.08.031__3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, Elsevier, 2016, pp. 227–34, doi: 10.1016/j.protcy.2016.08.031.
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Nava, Federico, et al. “Ultra-Compact 122GHz Radar Sensor for Autonomous Aircrafts.” 10.1016/j.protcy.2016.08.051__ 10.1016/j.protcy.2016.08.051__3rd International Conference on System-Integrated Intelligence, 2016, doi: 10.1016/j.protcy.2016.08.051.
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Böcker, Joachim. “Some Reflections on Electromagnetic Force in Matter.”10.1109/speedam.2016.7525880__2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), IEEE, 2016, doi:10.1109/speedam.2016.7525880.
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Stille, Karl Stephan Christian, and Joachim Böcker. “Local Demand Response and Load Planning System for Intelligent Domestic Appliances.”10.1109/icrera.2015.7418638__2015 International Conference on Renewable Energy Research and Applications (ICRERA), IEEE, 2016, doi:10.1109/icrera.2015.7418638.
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Stille, Karl Stephan Christian, et al. “Integration of Home Photovoltaic Generation into Electricity Tariff for Load Optimization.”10.1109/sgcf.2016.7492441__2016 4th International Istanbul Smart Grid Congress and Fair (ICSG), IEEE, 2016, doi:10.1109/sgcf.2016.7492441.
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