Unverzagt, Carsten, and Bernd Henning. “Sensitivitätssteigerung Im Rahmen Eines Inversen Ansatzes Zur Materialparameterbestimmung Für Piezokeramiken Durch Elektrodenmodifikationen,” 95–102, 2014.

Gravenkamp, Hauke, Fabian Bause, and Song Chongmin. “On the Computation of Dispersion Curves for Axisymmetric Elastic Waveguides Using the Scaled Boundary Finite Element Method.” Computers and Structures 131 (2014): 46–55.

Hellebrand, Sybille, and Hans-Joachim Wunderlich. “SAT-Based ATPG beyond Stuck-at Fault Testing.” DeGruyter Journal on Information Technology (It) 56, no. 4 (2014): 165–72.

Rodriguez Gomez, Laura, Alejandro Cook, Thomas Indlekofer, Sybille Hellebrand, and Hans-Joachim Wunderlich. “Adaptive Bayesian Diagnosis of Intermittent Faults.” Journal of Electronic Testing - Theory and Applications (JETTA) 30, no. 5 (2014): 527–40.

Graf, Tobias, and Marco Platzner. “Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go.”https://doi.org/10.1109/CIG.2014.6932863__In 2014 IEEE Conference on Computational Intelligence and Games, 1–8, 2014.https://doi.org/10.1109/CIG.2014.6932863 .

Bause, Fabian, Manuel Webersen, Jens Rautenberg, and Bernd Henning. Modeling and Inverse Identification of a High Bandwidth Ultrasonic Measurement Setup Based on Piezoelectric 1-3 Composites. 10th Workshop on Direct and Inverse Problems in Piezoelectricity, 2014.

Bause, Fabian, Manuel Webersen, Jens Rautenberg, and Bernd Henning. Modellbasierte inverse Identifikation von Ultraschall-Transducern anhand der elektrischen Eingangsimpendanz. Workshop “Messtechnische Anwendungen von Ultraschall,” 2014.

Busa-Fekete, Robert, B. Szörényi, and Eyke Hüllermeier. “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.” In Proceedings AAAI 2014, Quebec, Canada, 1701–7, 2014.

Busa-Fekete, Robert, and Eyke Hüllermeier. “A Survey of Preference-Based Online Learning with Bandit Algorithms.” In Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia, 18–39, 2014.

Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.” In Proceedings Discovery Science, Bled,Slovenia , 123–34, 2014.

Fallah Tehrani, A., M. Strickert, and Eyke Hüllermeier. “The Choquet Kernel for Monotone Data.” In Proceedings ESANN , Bruges, Belgium, 2014.

Abdel-Aziz, A., M. Strickert, and Eyke Hüllermeier. “Learning Solution Similarity in Preference-Based CBR.” In Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland, 17–31, 2014.

Schäfer, Dirk, and Eyke Hüllermeier. “Dyad Ranking Using A Bilinear Plackett-Luce Model.” In Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany, 32–33, 2014.

Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France.” In Proceedings, Parts I-III. Lecture Notes in Computer Science, 8724–26. Springer, 2014.

Fürnkranz, J., Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, and Scott Sanner. “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 4:1–27, 2014.

Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.

Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.

Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.

Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.

Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.