Unverzagt, Carsten, and Bernd Henning. Sensitivitätssteigerung Im Rahmen Eines Inversen Ansatzes Zur Materialparameterbestimmung Für Piezokeramiken Durch Elektrodenmodifikationen. 2014, pp. 95–102.
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Gravenkamp, Hauke, et al. “On the Computation of Dispersion Curves for Axisymmetric Elastic Waveguides Using the Scaled Boundary Finite Element Method.” Computers and Structures, vol. 131, 2014, pp. 46–55.
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Hellebrand, Sybille, and Hans-Joachim Wunderlich. “SAT-Based ATPG beyond Stuck-at Fault Testing.” DeGruyter Journal on Information Technology (It), vol. 56, no. 4, DeGruyter, 2014, pp. 165–72.
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Rodriguez Gomez, Laura, et al. “Adaptive Bayesian Diagnosis of Intermittent Faults.” Journal of Electronic Testing - Theory and Applications (JETTA), vol. 30, no. 5, Springer, 2014, pp. 527–40.
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Graf, Tobias, and Marco Platzner. “Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go.”10.1109/CIG.2014.6932863__2014 IEEE Conference on Computational Intelligence and Games, 2014, pp. 1–8, doi:10.1109/CIG.2014.6932863.
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Bause, Fabian, et al. Modeling and Inverse Identification of a High Bandwidth Ultrasonic Measurement Setup Based on Piezoelectric 1-3 Composites. 2014.
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Bause, Fabian, et al. Modellbasierte inverse Identifikation von Ultraschall-Transducern anhand der elektrischen Eingangsimpendanz. 2014.
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Busa-Fekete, Robert, et al. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–07.
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Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 2014, pp. 18–39.
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Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–34.
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Fallah Tehrani, A., et al. “The Choquet Kernel for Monotone Data.” Proceedings ESANN , Bruges, Belgium, 2014.
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Abdel-Aziz, A., et al. “Learning Solution Similarity in Preference-Based CBR.” Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 2014, pp. 17–31.
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Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 2014, pp. 32–33.
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Calders, T., et al. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” Proceedings, Parts I-III. Lecture Notes in Computer Science, Springer, 2014, pp. 8724–26.
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Fürnkranz, J., et al. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. Vol. 4, no. 3, 2014, pp. 1–27.
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Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.
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Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86.
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Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery, vol. 28, no. 5–6, 2014, pp. 1129–33.
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Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91.
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Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.
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