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

Behrendt S, Richter A, Trier M. Mixed methods analysis of enterprise social networks. Computer Networks. 2014:560-577. doi:10.1016/j.comnet.2014.08.025

Trier M, Müller M, Bobrik A. Der richtige Ansprechpartner im dynamischen Interaktionsnetzwerk. HMD Praxis der Wirtschaftsinformatik. 2014:85-93. doi:10.1007/bf03340366

Herzog M, Trier M. MEDIA ENGINEERING WITH A CONTENT HUB SYSTEM. GENERIC CONTENT TRANSFORMATION FOR MOBILE MEDIA. International Journal of Computing. 2014;7(2):108-115.

Behrendt S, Richter A, Schäfer S, Trier M. Business Intelligence 2.0. In: Richter A, ed. Vernetzte Organisation. Tyskland: De Gruyter; 2014:318-329.

Wagner D, Richter A, Trier M, Wagner H-T. Towards a Conceptualization of Online Community Health. In: Karahanna E, Srinivasan A, Tan B, eds. Proceedings of the 35th International Conference on Information Systems. ICIS 2014. Association for Information Systems. AIS Electronic Library (AISeL); 2014.

Li Y, Sanna S, Schmidt WG. Modeling intrinsic defects in LiNbO3 within the Slater-Janak transition state model. The Journal of Chemical Physics. 2014. doi:10.1063/1.4883737

Hölscher R, Schmidt WG, Sanna S. Modeling LiNbO3 Surfaces at Ambient Conditions. The Journal of Physical Chemistry C. 2014:10213-10220. doi:10.1021/jp502936f

Schubert M, Steffen E. The set of circular flow numbers of regular graphs. J Graph Theory. 2014;76:297-308.

Hägglund J, Steffen E. Petersen colorings and some families of snarks. Ars Mathematica Contemporanea. 2014;312:476-478.

Busa-Fekete R, Szörényi B, Hüllermeier E. PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. In: Proceedings AAAI 2014, Quebec, Canada. ; 2014:1701-1707.

Busa-Fekete R, Hüllermeier E. A Survey of Preference-Based Online Learning with Bandit Algorithms. In: Proceedings Int. Conf. on Algorithmic Learning Theory (ALT), Bled, Slovenia. ; 2014:18-39.

Henzgen S, Hüllermeier E. Mining Rank Data. In: Proceedings Discovery Science, Bled,Slovenia . ; 2014:123-134.

Fallah Tehrani A, Strickert M, Hüllermeier E. The Choquet kernel for monotone data. In: Proceedings ESANN , Bruges, Belgium. ; 2014.

Abdel-Aziz A, Strickert M, Hüllermeier E. Learning Solution Similarity in Preference-Based CBR. In: Proceedings Int. Conf. Case-Based Reasoning (ICCBR), Cork, Ireland. ; 2014:17-31.

Schäfer D, Hüllermeier E. Dyad Ranking Using A Bilinear Plackett-Luce Model. In: Proceedings Lernen-Wissensentdeckung-Adaptivität (LWA), Aachen, Germany. ; 2014:32-33.

Calders T, Esposito F, Hüllermeier E, Meo R. Machine Learning and Knowledge Discovery in Databases-European Conf. ECML/PKDD, Nancy, France. In: Proceedings, Parts I-III. Lecture Notes in Computer Science. Springer; 2014:8724-8726.

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

Fürnkranz J, Hüllermeier E, Rudin C, Slowinski R, Sanner S. Preference Learning (Dagstuhl Seminar 14101) Dagstuhl Reports. In: Vol 4. ; 2014:1-27.

Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science. 2014;24(1):199-212.

Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686.

Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery. 2014;28(5-6):1129-1133.

Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based systems. Evolving Systems. 2014;5(3):175-191.

Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.

Hüllermeier E. Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1609-1613.

Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109.

Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.

Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1).

Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3.

Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.

Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E. Dependent binary relevance models for multi-label classification. Pattern Recognition. 2014;47(3):1494-1508.

Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10.

Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890.

Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169.

Guo Q, Paulheim A, Sokolowski M, Aldahhak H, Rauls E, Schmidt WG. Adsorption of PTCDA on Terraces and at Steps Sites of the KCl(100) Surface. The Journal of Physical Chemistry C. 2014;118:29911-29918. doi:10.1021/jp509663s

Oh DM, Wippermann S, Schmidt WG, Yeom HW. Oxygen adsorbates on the Si(111)4×1-In metallic atomic wire: Scanning tunneling microscopy and density-functional theory calculations. Physical Review B. 2014;90(15). doi:10.1103/physrevb.90.155432

Hoffmann A, Rohrmüller M, Jesser A, dos Santos Vieira I, Schmidt WG, Herres-Pawlis S. 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. 2014;35(29-30):2146-2161. doi:10.1002/jcc.23740

Landmann M, Köhler T, Rauls E, Frauenheim T, Schmidt WG. The atomic structure of ternary amorphous TixSi1xO2hybrid oxides. Journal of Physics: Condensed Matter. 2014;26. doi:10.1088/0953-8984/26/25/253201

Sanna S, Schmidt WG, Thissen P. 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. 2014;118:8007-8013. doi:10.1021/jp500170t

Gerstmann U, Vollmers NJ, Lücke A, Babilon M, Schmidt WG. Rashba splitting and relativistic energy shifts in In/Si(111) nanowires. Physical Review B. 2014;89(16). doi:10.1103/physrevb.89.165431

Li Y, Schmidt WG, Sanna S. IntrinsicLiNbO3point defects from hybrid density functional calculations. Physical Review B. 2014;89(9). doi:10.1103/physrevb.89.094111

Sanna S, Hölscher R, Schmidt WG. Temperature dependent LiNbO3(0001): Surface reconstruction and surface charge. Applied Surface Science. 2014:70-78. doi:10.1016/j.apsusc.2014.01.104

Sanna S, Schmidt WG, Rode S, Klassen S, Kühnle A. Unraveling theLiNbO3X-cut surface by atomic force microscopy and density functional theory. Physical Review B. 2014;89(7). doi:10.1103/physrevb.89.075403

Beister F, Dräxler M, Aelken J, Karl H. Power model design for ICT systems – A generic approach. Computer Communications. 2014;50:77-85. doi:10.1016/j.comcom.2014.02.007

Wessel J, Schmalz K, Cahill B, Scheytt C. Design of an Electrical Interferometer at 120 GHz for Contactless Permittivity Characterization. In: Elektrotechnisches Kolloquium. ; 2014.

Mischkalla F, Müller W. Architectural Low-Power Design Using Transaction-Based System Modeling and Simulation. In: Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV). IEEE; 2014. doi:10.1109/SAMOS.2014.6893219

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

Wessel J, Schmalz K, Scheytt C, Meliani C, Cahill B. A 7 GHz biosensor for permittivity change with enhanced sensitivity through phase compensation. In: European Microwave Conference (EuMC). Vol 44th. IEEE; 2014:699-702. doi:10.1109/EuMC.2014.6986530

Kraemer R, Wolf A, Scheytt C, Kallfass I, KrishneGowda K. Wireless 100 Gb/s: PHY layer Overview and Challenges in THz freqency band. In: 2014 IEEE 15th Annual IEEE Wireless and Microwave Technology Conference (WAMICON). IEEE; 2014. doi:10.1109/WAMICON.2014.6857743

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