F. Bause, M. Webersen, J. Rautenberg, and B. Henning, Modellbasierte inverse Identifikation von Ultraschall-Transducern anhand der elektrischen Eingangsimpendanz. 2014.

S. Behrendt, A. Richter, and M. Trier, “Mixed methods analysis of enterprise social networks,” Computer Networks, pp. 560–577, 2014.

M. Trier, M. Müller, and A. Bobrik, “Der richtige Ansprechpartner im dynamischen Interaktionsnetzwerk,” HMD Praxis der Wirtschaftsinformatik, pp. 85–93, 2014.

M. Herzog and M. Trier, “MEDIA ENGINEERING WITH A CONTENT HUB SYSTEM. GENERIC CONTENT TRANSFORMATION FOR MOBILE MEDIA,” International Journal of Computing, vol. 7, no. 2, pp. 108–115, 2014.

S. Behrendt, A. Richter, S. Schäfer, and M. Trier, “Business Intelligence 2.0,” in Vernetzte Organisation, A. Richter, Ed. Tyskland: De Gruyter, 2014, pp. 318–329.

D. Wagner, A. Richter, M. Trier, and H.-T. Wagner, “Towards a Conceptualization of Online Community Health,” in Proceedings of the 35th International Conference on Information Systems. ICIS 2014, 2014.

Y. Li, S. Sanna, and W. G. Schmidt, “Modeling intrinsic defects in LiNbO3 within the Slater-Janak transition state model,” The Journal of Chemical Physics, 2014.

R. Hölscher, W. G. Schmidt, and S. Sanna, “Modeling LiNbO3 Surfaces at Ambient Conditions,” The Journal of Physical Chemistry C, pp. 10213–10220, 2014.

M. Schubert and E. Steffen, “The set of circular flow numbers of regular graphs,” J. Graph Theory, vol. 76, pp. 297–308, 2014.

J. Hägglund and E. Steffen, “Petersen colorings and some families of snarks,” Ars Mathematica Contemporanea, vol. 312, pp. 476–478, 2014.

R. Busa-Fekete, B. Szörényi, and E. Hüllermeier, “PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences,” in Proceedings AAAI 2014, Quebec, Canada, 2014, pp. 1701–1707.

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

S. Henzgen and E. Hüllermeier, “Mining Rank Data,” in Proceedings Discovery Science, Bled,Slovenia , 2014, pp. 123–134.

A. Fallah Tehrani, M. Strickert, and E. Hüllermeier, “The Choquet kernel for monotone data,” in Proceedings ESANN , Bruges, Belgium, 2014.

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

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

T. Calders, F. Esposito, E. 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, 2014, pp. 8724–8726.

P. Herrmann, On Consumer Purchasing Behavior in Electronic Markets. Universität Paderborn, 2014.

J. Fürnkranz, E. Hüllermeier, C. Rudin, R. Slowinski, and S. Sanner, “Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports,” 2014, vol. 4, no. 3, pp. 1–27.

A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.

F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014.

T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014.

S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014.

E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.

E. Hüllermeier, “Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.

M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014.

R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.

M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier, “Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances,” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014.

T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97, no. 1–2, pp. 1–3, 2014.

R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.

E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E. Hüllermeier, “Dependent binary relevance models for multi-label classification,” Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014.

G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014.

T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014.

M. Stock et al., “Identification of Functionally Releated Enzymes by Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, pp. 1157–1169, 2014.

Q. Guo, A. Paulheim, M. Sokolowski, H. Aldahhak, E. Rauls, and W. G. Schmidt, “Adsorption of PTCDA on Terraces and at Steps Sites of the KCl(100) Surface,” The Journal of Physical Chemistry C, vol. 118, pp. 29911–29918, 2014.

D. M. Oh, S. Wippermann, W. G. Schmidt, and H. W. Yeom, “Oxygen adsorbates on the Si(111)4×1-In metallic atomic wire: Scanning tunneling microscopy and density-functional theory calculations,” Physical Review B, vol. 90, no. 15, 2014.

A. Hoffmann, M. Rohrmüller, A. Jesser, I. dos Santos Vieira, W. G. Schmidt, and S. Herres-Pawlis, “Geometrical and optical benchmarking of copper(II) guanidine-quinoline complexes: Insights from TD-DFT and many-body perturbation theory (part II),” Journal of Computational Chemistry, vol. 35, no. 29–30, pp. 2146–2161, 2014.

M. Landmann, T. Köhler, E. Rauls, T. Frauenheim, and W. G. Schmidt, “The atomic structure of ternary amorphous TixSi1xO2hybrid oxides,” Journal of Physics: Condensed Matter, vol. 26, 2014.

S. Sanna, W. G. Schmidt, and P. Thissen, “Formation of Hydroxyl Groups at Calcium-Silicate-Hydrate (C-S-H): Coexistence of Ca–OH and Si–OH on Wollastonite(001),” The Journal of Physical Chemistry C, vol. 118, pp. 8007–8013, 2014.

U. Gerstmann, N. J. Vollmers, A. Lücke, M. Babilon, and W. G. Schmidt, “Rashba splitting and relativistic energy shifts in In/Si(111) nanowires,” Physical Review B, vol. 89, no. 16, 2014.

Y. Li, W. G. Schmidt, and S. Sanna, “IntrinsicLiNbO3point defects from hybrid density functional calculations,” Physical Review B, vol. 89, no. 9, 2014.

S. Sanna, R. Hölscher, and W. G. Schmidt, “Temperature dependent LiNbO3(0001): Surface reconstruction and surface charge,” Applied Surface Science, pp. 70–78, 2014.

S. Sanna, W. G. Schmidt, S. Rode, S. Klassen, and A. Kühnle, “Unraveling theLiNbO3X-cut surface by atomic force microscopy and density functional theory,” Physical Review B, vol. 89, no. 7, 2014.

F. Beister, M. Dräxler, J. Aelken, and H. Karl, “Power model design for ICT systems – A generic approach,” Computer Communications, vol. 50, pp. 77–85, 2014.

J. Wessel, K. Schmalz, B. Cahill, and C. Scheytt, “Design of an Electrical Interferometer at 120 GHz for Contactless Permittivity Characterization,” 2014.

F. Mischkalla and W. Müller, “Architectural Low-Power Design Using Transaction-Based System Modeling and Simulation,”10.1109/SAMOS.2014.6893219__2014, doi:10.1109/SAMOS.2014.6893219 .

J. Wessel, K. Schmalz, C. Scheytt, and C. Meliani, “Switchable slow wave transmission line in 130 nm SiGe technology at 115 GHz for phase detection based biosensors,”10.1109/MWSYM.2014.6848446__in Microwave Symposium (IMS), 2014 IEEE MTT-S International, 2014, pp. 1–3, doi:10.1109/MWSYM.2014.6848446 .

J. Wessel, K. Schmalz, C. Scheytt, C. Meliani, and B. Cahill, “A 7 GHz biosensor for permittivity change with enhanced sensitivity through phase compensation,”10.1109/EuMC.2014.6986530__in European Microwave Conference (EuMC), 2014, vol. 44th, pp. 699–702, doi:10.1109/EuMC.2014.6986530 .

R. Kraemer, A. Wolf, C. Scheytt, I. Kallfass, and K. KrishneGowda, “Wireless 100 Gb/s: PHY layer Overview and Challenges in THz freqency band,”10.1109/WAMICON.2014.6857743__2014, doi:10.1109/WAMICON.2014.6857743 .

B. Koppelmann, B. Messidat, M. Becker, C. Kuznik, W. Müller, and C. Scheytt, “Fast and Open Virtual Platforms for TriCore-based SoCs Using QEMU,” Design and Verification Conference (DVCON EUROPE), 2014.