T. Graf and M. Platzner, “Monte-Carlo Simulation Balancing Revisited,” in IEEE Computational Intelligence and Games, 2016.

T. Wiersema and M. Platzner, “Verifying Worst-Case Completion Times for Reconfigurable Hardware Modules using Proof-Carrying Hardware,” in Proceedings of the 11th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2016), 2016, pp. 1--8.

E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “An Approach to Non-Destructive Testing of Aged Polymers,” presented at the 32nd International Conference of the Polymer Processing Society, Lyon, 2016.

E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Molekularen Schäden auf der Spur,” Kunststoffe, no. 4, pp. 94–96, 2016.

E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Detecting Molecular Damage,” Kunststoffe International, no. 4, pp. 43–45, 2016.

E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Non-destructive characterization of hygrothermally aged polymers,” presented at the ANTEC 2016, Indianapolis, 2016.

E. Moritzer, M. Hüttner, B. Henning, and M. Webersen, “Ultraschallbasierte Charakterisierung von gealterten Polymeren,” in Jahresmagazin Kunststofftechnik 2016, Institut für Wissenschaftliche Veröffentlichungen, Ed. 2016, pp. 2–7.

M. Webersen, M. Hüttner, F. Bause, E. Moritzer, and B. Henning, “Zerstörungsfreie Charakterisierung des hydrothermischen Alterungsverhaltens von Polymeren,” presented at the 18. GMA/ITG-Fachtagung Sensoren und Messsysteme 2016, Nürnberg, 2016, pp. 683–688.

M. Dewender, Verifikation von Service Kompositionen mit Spin. Universität Paderborn, 2016.

P. Heinisch, Verifikation von Service Kompositionen mit Prolog. Universität Paderborn, 2016.

M. Eikel, Insider-resistent Distributed Storage Systems. Universität Paderborn, 2016.

J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016.

F. Hoffmann, E. Hüllermeier, and R. Mikut, Eds.,  Proceedings 26. Workshop Computational Intelligence KIT Scientific Publishing, Karlsruhe, Germany. 2016.

K. Jasinska, K. Dembczynski, R. Busa-Fekete, T. Klerx, and E. Hüllermeier, “Extreme F-measure maximization using sparse probability estimates ,” in Proceedings ICML-2016, 33th International Conference on Machine Learning, New York, USA, 2016.

V. Melnikov and E. Hüllermeier, “Learning to aggregate using uninorms,  in Proceedings ECML/PKDD-2016,” in European Conference on Machine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp. 756–771.

K. Dembczynski, W. Kotlowski, W. Waegeman, R. Busa-Fekete, and E. Hüllermeier, “Consistency of probalistic classifier trees,” in In Proceedings ECML/PKDD European Conference on Maschine Learning and Knowledge Discovery in Databases, Part II, Riva del Garda, Italy, 2016, pp. 511–526.

A. Shabani, A. Paul, R. Platon, and E. Hüllermeier, “Predicting the electricity consumption of buildings: An improved CBR approach,” in In Proceedings ICCBR, 24th International Conference on Case-Based Reasoning, Atlanta, GA, USA, 2016, pp. 356–369.

K. Pfannschmidt, E. Hüllermeier, S. Held, and R. Neiger, “Evaluating tests in medical  diagnosis-Combining machine learning with game-theoretical concepts,” in In Proceedings IPMU 16th International Conference on Information Processing and Management  of Uncertainty in Knowledge-Based Systems, Part 1, Eindhoven, The Netherlands, 2016, pp. 450–461.

C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the Identifiability of models in multi-criteria preference learning ,” in Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.

D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using Dyad Ranking,” in Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.

I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in Proceedings DPL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning, 2016.

S. Lu and E. Hüllermeier, “Support vector classification on noisy data using fuzzy supersets losses,” in Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.

D. Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016.

G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.

M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.

M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “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.

M. Herlich, N. Bredenbals, and H. Karl, “Delayed (de-)activation in servers with a sleep mode,” Sustainable Computing: Informatics and Systems, vol. 10, pp. 48–55, 2016.

P. Adelt, B. Koppelmann, W. Müller, M. Becker, B. Kleinjohann, and C. Scheytt, “Fast Dynamic Fault Injection for Virtual Microcontroller Platforms,”10.1109/VLSI-SoC.2016.7753545__2016, doi:10.1109/VLSI-SoC.2016.7753545 .

Y. Mao, K. Schmalz, C. Scheytt, and E. Shiju, “An all-transmission-line 220 GHz differential LNA in SiGe BiCMOS,”10.1109/RFIT.2016.7578132__2016, doi:10.1109/RFIT.2016.7578132 .

S. Abughannam, L. Wu, W. Müller, C. Scheytt, W. Ecker, and C. Novello, “Fault Injection and Mixed-Level Simulation for Analog Circuits - A Case Study,” 2016.

F. Nava, D. Genschow, and C. Scheytt, “Obstacle detection using a miniaturized radar sensor operating at 120GHz ISM band,” 2016.

A. R. Javed, C. Scheytt, and U. Von der Ahe, “Linear ultra-broadband NPN-only analog correlator at 33 Gbps in 130nm SiGe BiCMOS technology,” 10.1109/BCTM.2016.7738962__2016, doi: 10.1109/BCTM.2016.7738962 .

J. Jatzkowski, P. Adelt, and A. Rettberg, “Hierarchical Scheduling for Plug-and-Produce,” 10.1016/j.protcy.2016.08.031__in 3rd International Conference on System-integrated Intelligence: New Challenges for Product and Production Engineering, 2016, pp. 227–234, doi: 10.1016/j.protcy.2016.08.031 .

F. Nava, C. Scheytt, T. Zwick, M. Pauli, B. Goettel, and W. Winkler, “Ultra-compact 122GHz Radar Sensor for Autonomous Aircrafts,” 10.1016/j.protcy.2016.08.051__2016, doi: 10.1016/j.protcy.2016.08.051 .

J. Böcker, “Some reflections on electromagnetic force in matter,”10.1109/speedam.2016.7525880__presented at the SPEEDAM, Capri, Italy, 2016, doi:10.1109/speedam.2016.7525880 .

K. S. C. Stille and J. Böcker, “Local demand response and load planning system for intelligent domestic appliances,”10.1109/icrera.2015.7418638__2016, doi:10.1109/icrera.2015.7418638 .

K. S. C. Stille, J. Böcker, N. Fröhleke, R. Bettentrup, and I. Kaiser, “Integration of home photovoltaic generation into electricity tariff for load optimization,”10.1109/sgcf.2016.7492441__2016, doi:10.1109/sgcf.2016.7492441 .

K. S. C. Stille, J. Böcker, N. Fröhleke, R. Bettentrup, and I. Kaiser, “Local grid load coordination for load-shiftable domestic appliances in a variable-tariff environment,”10.1109/epe.2016.7695583__2016, doi:10.1109/epe.2016.7695583 .

K. S. C. Stille, J. Böcker, N. Fröhleke, R. Bettentrup, and I. Kaiser, “Supervisional load optimization for households with intelligent domestic appliances,”10.1109/cpe.2016.7544176__2016, doi:10.1109/cpe.2016.7544176 .

O. Wallscheid, T. Huber, W. Peters, and J. Böcker, “A Critical Review of Techniques to Determine the Magnet Temperature of Permanent Magnet Synchronous Motors under Real-time Conditions,” EPE Journal, no. 25, pp. 1–10, 2016.

O. Wallscheid, U. Ammann, and J. Böcker, “Real-time capable model predictive control of permanent magnet synchronous motors using particle swarm optimisation,” in PCIM Europe 2016; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2016, pp. 1–8.

M. Paradkar and J. Böcker, “D analytical model for estimation of eddy current loss in the magnets of IPM machines considering the reaction field of the induced eddy currents,”10.1109/iemdc.2015.7409198__2016, doi:10.1109/iemdc.2015.7409198 .

T. Huber, W. Peters, and J. Böcker, “Voltage controller for flux weakening operation of interior permanent magnet synchronous motor in automotive traction applications,”10.1109/iemdc.2015.7409195__2016, doi:10.1109/iemdc.2015.7409195 .

M. Paradkar and J. Böcker, “Analysis of eddy current losses in the stator windings of IPM machines in electric and hybrid electric vehicle applications,”10.1049/cp.2016.0320__2016, doi:10.1049/cp.2016.0320 .

K. Peter, J. Böcker, F. Mink, and S. Beineke, “Comparison of quarter-wave with half-wave symmetrical pulse patterns applied in electrical high-speed drives,”10.1049/cp.2016.0358__2016, doi:10.1049/cp.2016.0358 .

C. Schulte, K. Peter, J. Böcker, and M. Leuer, “Comparison of Optimized Pulse Patterns with Direct Model Predictive Control Using Co-Simulation,”10.1049/cp.2016.0331__2016, doi:10.1049/cp.2016.0331 .

K. Peter, S. Hanke, F. Mink, and J. Böcker, “Inverter loss management for an electrical high-speed drive system,”10.1109/epe.2016.7695587__2016, doi:10.1109/epe.2016.7695587 .

M. Ott and J. Böcker, “Sensitivity analysis on production tolerances for electric drive systems in automotive application,”10.1109/epe.2016.7695392__2016, doi:10.1109/epe.2016.7695392 .

M. Leuer, M. Lönneker, and J. Böcker, “Model predictive control strategy for multi-phase thyristor matrix converters — Advantages, problems and solutions,”10.1109/epe.2016.7695350__2016, doi:10.1109/epe.2016.7695350 .

S. Bolte, N. Fröhleke, and J. Böcker, “Comparison of the performance of gallium nitride (GaN) transistors in a totem-pole power factor controlled (PFC) rectifier,”10.1109/intlec.2016.7749113__2016, doi:10.1109/intlec.2016.7749113 .

T. Vogt, R. Pahl, N. Fröhleke, and J. Böcker, “Determination of storage loss characteristics with reasonable measurement and calculation effort,”10.1109/epe.2016.7695689__2016, doi:10.1109/epe.2016.7695689 .

M. Leuer, M. Lönneker, and J. Böcker, “Direct Model Predictive Control strategy for multi-phase thyristor matrix converters,”10.1109/precede.2015.7395589__2016, doi:10.1109/precede.2015.7395589 .

S. Bolte, N. Fröhleke, and J. Böcker, “DC-DC converter design for power distribution systems in electric vehicles using calorimetric loss measurements,”10.1109/epe.2016.7695644__2016, doi:10.1109/epe.2016.7695644 .

C. Henkenius, N. Fröhleke, J. Böcker, and H. Figge, “Numerical optimization of passive line filter components for suppression of electromagnetic interference (EMI),”10.1109/apec.2016.7468073__2016, doi:10.1109/apec.2016.7468073 .

S. Bolte, N. Fröhleke, and J. Böcker, “Efficiency optimization for a power factor correction (PFC) rectifier with gallium nitride transistor,”10.1109/wipda.2015.7369288__2016, doi:10.1109/wipda.2015.7369288 .

C. Henkenius, N. Fröhleke, and J. Böcker, “Analysis and design of integrated common and differential mode inductors,”10.1109/intlec.2016.7749121__2016, doi:10.1109/intlec.2016.7749121 .

T. Huber, Experimentelle Identifikation eines thermischen Modells zur Überwachung kritischer Temperaturen in hochausgenutzten permanenterregten Synchronmotoren für automobile Traktionsanwendungen. 2016.

H. Figge, High Power LLC Resonant Converter Optimized for High Efficiency and Industrial Use. 2016.

K. Dora Venkata Mohana Murali, Compact Storage Based Resistance Spot Welding Power Supplies. 2016.

U. Häsel-Weide, “»Mathematik inklusive«: Lernchancen im inklusiven Anfangsunterricht.,” in Beiträge zum Mathematikunterricht. Vorträge auf der 50. Tagung für Didaktik der Mathematik, Heidelberg, 2016, vol. 1, pp. 365–369.

U. Häsel-Weide, “Mathematik gemeinsam lernen - Lernumgebungen für den inklusiven Mathematikunterricht.,” in Tagungsband des AK Grundschule in der GDM 2016, 2016, pp. 9–24.

U. Häsel-Weide, “‘Merit hat 4 von 5 Subtraktionsaufgaben durch Rückwärtszählen gelöst’. Leistungsbeurteilung im inklusiven Mathematikunterricht,” Sonderpädagogische Förderung heute, vol. 4, no. 61, pp. 356–368, 2016.

U. Häsel-Weide, Vom Zählen zum Rechnen. Struktur-fokussierende Deutungen in kooperativen Lernumgebungen., 1st ed. Wiesbaden: Springer Spektrum, 2016.

U. Häsel-Weide, “Gemeinsam ordnen – gemeinsam lernen. Mathematische Strukturen sichtbar machen. ,” Grundschulunterricht Mathematik, no. 1, pp. 30–33, 2016.

T. Black, J. Lankeit, and M. Mizukami, “On the weakly competitive case in a two-species chemotaxis model,”10.1093/imamat/hxw036__IMA Journal of Applied Mathematics, vol. 81, no. 5, pp. 860–876, 2016, doi:10.1093/imamat/hxw036 .

T. Black, “Boundedness in a Keller–Segel system with external signal production,”10.1016/j.jmaa.2016.08.049__Journal of Mathematical Analysis and Applications, vol. 446, no. 1, pp. 436–455, 2016, doi:10.1016/j.jmaa.2016.08.049 .

T. Black, “Blow-up of weak solutions to a chemotaxis system under influence of an external chemoattractant,”10.1088/0951-7715/29/6/1865__Nonlinearity, vol. 29, no. 6, pp. 1865–1886, 2016, doi:10.1088/0951-7715/29/6/1865 .

T. Black, “Sublinear signal production in a two-dimensional Keller–Segel–Stokes system,”10.1016/j.nonrwa.2016.03.008__Nonlinear Analysis: Real World Applications, vol. 31, pp. 593–609, 2016, doi:10.1016/j.nonrwa.2016.03.008 .

J. Eckstein et al., “A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles,”10.1016/j.protcy.2016.08.059__in Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 2016, vol. 26, pp. 465–472, doi:10.1016/j.protcy.2016.08.059 .

T. Wenger, S. Ober-Blöbaum, and S. Leyendecker, “Variational integrators of mixed order for dynamical systems with multiple time scales and split potentials,” in ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering, 2016, pp. 1818–1831.

T. Wenger, S. Ober-Blöbaum, and S. Leyendecker, “Constrained Galerkin variational integrators and modified constrained symplectic Runge-Kutta methods,” 2016.

S. Peitz, S. Ober-Blöbaum, and M. Dellnitz, “Reduced order model based multiobjective optimal control of fluids,” 2016.

B. Stellato, S. Ober-Blöbaum, and P. J. Goulart, “Optimal control of switching times in switched linear systems,” in 2016 IEEE 55th Conference on Decision and Control (CDC), 2016, pp. 7228–7233.

D. Borthwick and T. Weich, “Symmetry reduction of holomorphic iterated function schemes and factorization of Selberg zeta functions,”10.4171/jst/125__Journal of Spectral Theory, vol. 6, no. 2, pp. 267–329, 2016, doi:10.4171/jst/125 .

T. Weich, “On the Support of Pollicott–Ruelle Resonanant States for Anosov Flows,”10.1007/s00023-016-0514-5__Annales Henri Poincaré, vol. 18, no. 1, pp. 37–52, 2016, doi:10.1007/s00023-016-0514-5 .

M. Kolb and D. Krejdiík, “Spectral analysis of the diffusion operator with random jumps from the boundary,”https://link.springer.com/content/pdf/10.1007/s00209-016-1677-y.pdf__Mathematische Zeitschrift, vol. 284, pp. 877–900, 2016, doi:https://link.springer.com/content/pdf/10.1007/s00209-016-1677-y.pdf .

T. Richthammer, “Lower Bound on the Mean Square Displacement of Particles in the Hard Disk Model,”https://link.springer.com/article/10.1007/s00220-016-2584-0__Communications in Mathematical Physics , vol. 345, pp. 1077–1099, 2016, doi:https://link.springer.com/article/10.1007/s00220-016-2584-0 .

M. Kolb and M. Savov, “Transience and recurrence of a Brownian path with limited local time,”http://dx.doi.org/10.1214/15-AOP1069__The Annals of Probability, vol. 44, no. 6, 2016, doi:http://dx.doi.org/10.1214/15-AOP1069 .

S. Heindorf, M. Potthast, B. Stein, and G. Engels, “Vandalism Detection in Wikidata,”10.1145/2983323.2983740__in Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 2016, pp. 327--336, doi:10.1145/2983323.2983740 .

S. Gudyriev et al., “Low-Power, Ultra-compact, Fully-differential 40Gbps Direct Detection Receiver in 0.25;cm Photonic BiCMOS SiGe Technology,”10.1109/GROUP4.2016.7739126__2016, doi:10.1109/GROUP4.2016.7739126 .

C. Scheytt, “Recent Advances in Millimeter-Wave-and Electronic-Photonic System-on-Chip Design,” 2016.

J. Blömer and K. Bujna, “Adaptive Seeding for Gaussian Mixture Models,” in Advances in Knowledge Discovery and Data Mining, Cham: Springer International Publishing, 2016, pp. 296–308.

C. Colberg, M. Schürmann, R. Biehler, R. K. Hochmuth, N. Schaper, and M. Liebendörfer, “Projekt WiGeMath: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase,” in Working Paper Studieneingangsphase Perspektiven aus der Begleitforschung zum Qualitätspakt Lehre, A. Hanft, F. Bischoff, and B. Prang, Eds. Oldenburg: Carl von Ossietzky Universität Oldenburg, 2016, pp. 19–22.

C. Colberg, R. Biehler, R. Hochmuth, N. Schaper, M. Liebendörfer, and M. Schürmann, “Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase,”http://dx.doi.org/10.17877/DE290R-17376__in Beiträge zum Mathematikunterricht 2016, 2016, pp. 213–216, doi:http://dx.doi.org/10.17877/DE290R-17376 .

U. Ali, M. Bober, and A. Thiede, “Design of voltage controlled oscillators (VCOs) in D-band and their phase noise measurements using frequency down-conversion,”10.1109/eumic.2016.7777554__2016, doi:10.1109/eumic.2016.7777554 .

A. Al-Bermani and R. Noé, “Comparison of Cost and Complexity for Various 16-QAM Transmitter Structures in Coherent Optical Systems,”10.1117/12.2211264__in NEXT-GENERATION OPTICAL COMMUNICATION: COMPONENTS, SUB-SYSTEMS, AND SYSTEMS V, 2016, vol. 9774, doi:10.1117/12.2211264 .

R. Noé, B. Koch, and V. Mirvoda, “LiNbO3-Based Endless Optical Polarization Control The Photonic Alternative to Coherent Electronics,” 2016.

B. Koch, R. Noé, and V. Mirvoda, “Time-resolved Mueller matrix measurement and polarization scrambler characterization,”10.1109/NOC.2016.7507007__in 2016 21st European Conference on Networks and Optical Communications (NOC), 2016, pp. 168–173, doi:10.1109/NOC.2016.7507007 .

R. Noé, B. Koch, and V. Mirvoda, “LiNbO3-based endless optical polarization control,”10.1109/NOC.2016.7507006__in 2016 21st European Conference on Networks and Optical Communications (NOC), 2016, pp. 162–167, doi:10.1109/NOC.2016.7507006 .

B. Koch, R. Noé, V. Mirvoda, and D. Sandel, “Accelerated Testing of Polarization-Tracking Receiver Using Polarization Scrambler with Peaked Speed Distribution,” in Photonic Networks; 17. ITG-Symposium; Proceedings of, 2016, pp. 1–3.

M. Rösler and M. Voit, “Integral representation and sharp asymptotic results for some Heckman-Opdam hypergeometric functions of type BC,”10.48550/ARXIV.1402.5793__Transactions of the American Mathematical Society, vol. 368, no. 8, pp. 6005–6032, 2016, doi:10.48550/ARXIV.1402.5793 .

M. Rösler and M. Voit, “A multivariate version of the disk convolution,”10.1016/j.jmaa.2015.10.062__Journal of Mathematical Analysis and Applications, vol. 435, no. 1, pp. 701–717, 2016, doi:10.1016/j.jmaa.2015.10.062 .

B. Koch, R. Noé, and V. Mirvoda, “Time-Resolved Mueller Matrix Measurement and Polarization Scrambler Characterization,” 2016.

L. Huang, Y.-H. Xiao, K. Liu, H. C. So, and J.-K. Zhang, “Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array,” IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3018–3032, 2016.

J. Tong, P. J. Schreier, Q. Guo, S. Tong, J. Xi, and Y. Yu, “Shrinkage of covariance matrices for linear signal estimation using cross-validation,” IEEE Trans. Signal Process., vol. 64, no. 11, pp. 2965–2975, 2016.

M. Stein, K. Barbé, and J. A. Nossek, “DOA parameter estimation with 1-bit quantization - Bounds, methods and the exponential replacement,” 2016.

L. Zhang, M. Stein, and J. A. Nossek, “Asymptotic performance analysis for $-bit Bayesian smoothing,” 2016.

M. Stein, S. Bar, J. A. Nossek, and J. Tabrikian, “Performance analysis for pilot-based $-bit channel estimation with unknown quantization threshold,” 2016.

J. Tong, Q. Guo, J. Xi, Y. Yu, and P. J. Schreier, “Choosing the diagonal loading factor for linear signal estimation using cross validation,” 2016.

E. Jurrus, N. Hodas, N. Baker, T. Marrinan, and M. D. Hoover, “Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis,”10.1109/THS.2016.7568959__in Technologies for Homeland Security (HST), 2016 IEEE Symposium on, 2016, pp. 1–6, doi:10.1109/THS.2016.7568959 .