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Malandrino, F., Casetti, C., Chiasserini, C.-F., Sommer, C., &; Dressler, F. (2014). The Role of Parked Cars in Content Downloading for Vehicular Networks. IEEE Transactions on Vehicular Technology, 4606–4617.https://doi.org/10.1109/tvt.2014.2316645 

Segata, M., Bloessl, B., Joerer, S., Sommer, C., Lo Cigno, R., &; Dressler, F. (2014). Short paper: Vehicle shadowing distribution depends on vehicle type: Results of an experimental study. In 2013 IEEE Vehicular Networking Conference.https://doi.org/10.1109/vnc.2013.6737623 

Segata, M., Bloessl, B., Sommer, C., &; Dressler, F. (2014). Towards energy efficient smart phone applications: Energy models for offloading tasks into the cloud. In 2014 IEEE International Conference on Communications (ICC).https://doi.org/10.1109/icc.2014.6883681 

Sommer, C., Hagenauer, F., &; Dressler, F. (2014). A networking perspective on self-organizing intersection management. In 2014 IEEE World Forum on Internet of Things (WF-IoT).https://doi.org/10.1109/wf-iot.2014.6803164 

Tung, L.-C., Mena, J., Gerla, M., &; Sommer, C. (2014). A cluster based architecture for intersection collision avoidance using heterogeneous networks. In 2013 12th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).https://doi.org/10.1109/medhocnet.2013.6767414 

Hellebrand, S., Indlekofer, T., Kampmann, M., A. Kochte, M., Liu, C., &; Wunderlich, H.-J. (2014). FAST-BIST: Faster-than-at-Speed BIST Targeting Hidden Delay Defects. In IEEE International Test Conference (ITC’14). Seattle, Washington, USA: IEEE.https://doi.org/10.1109/test.2014.7035360 

Busjahn, T., Bednarik, R., &; Schulte, C. (2014). What influences dwell time during source code reading?: analysis of element type and frequency as factors. In ETRA (pp. 335–338). ACM.

Busjahn, T., Schulte, C., Sharif, B., Begel, A., Hansen, M., Bednarik, R.,  Antropova, M. (2014). Eye tracking in computing education. In ICER (pp. 3–10). ACM.

Busjahn, T., Schulte, C., &; Kropp, E. (2014). Developing Coding Schemes for Program Comprehension using Eye Movements. In PPIG (p. 15). Psychology of Programming Interest Group.

Schulte, C., E. Caspersen, M., &; Gal-Ezer, J. (Eds.). (2014). Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM.

Chen, M.-H., Chen, W.-F., &;  Ku, L.-W. (2014). RESOLVE: An Emotion Word Suggestion System Facilitates Language Learners’ Emotional Expressions. In Proceedings of the AsiaCALL 2014.

Böttcher, S., Hartel, R., &; Thiele, S. (2014). Difference Computation for Grammar-Compressed XML Data. In Proceedings of the Second Australasian Web Conference (pp. 3–12). Australian Computer Society, Inc.

Böttcher, S., Brandenburg, M., &; Hartel, R. (2014). Keyword Search on DAG-Compressed XML Data. In Proceedings of the Second Australasian Web Conference (pp. 13–20). Australian Computer Society, Inc.

Böttcher, S., Hartel, R., &; Rabe, J. (2014). Efficient XML Keyword Search Based on DAG-Compression. In Database and Expert Systems Applications - 25th International Conference, DEXA 2014 (pp. 122–137). Cham: Springer.https://doi.org/10.1007/978-3-319-10073-9_11 

Agarwal, M., Fallah Tehrani, A., &; Hüllermeier, E. (2014). Preference-based learning of ideal solutions in TOPSIS-like decision models. Journal of Multi-Criteria Decision Analysis, 22(3–4).

Krotzky, T., Fober, T., Hüllermeier, E., &; Klebe, G. (2014). Extended graph-based models for enhanced similarity search in Cabase. IEEE/ACM Transactions of Computational Biology and Bioinformatics, 11(5), 878–890.

Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. International Journal of Approximate Reasoning, 55(7), 1519–1534.

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

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

Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V.,  Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.

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

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

Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., &; Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.

Donner-Banzhoff, N., Haasenritter, J., Hüllermeier, E., Viniol, A., Bösner, S., &; Becker, A. (2014). The comprehensive diagnostic study is suggested as a design to model the diagnostic process. Journal of Clinical Epidemiology, 2(67), 124–132.

Lukovszki, T., &; Meyer auf der Heide, F. (2014). Fast Collisionless Pattern Formation by Anonymous, Position-Aware Robots. In Lecture Notes in Computer Science. Cham.https://doi.org/10.1007/978-3-319-14472-6_17 

Abshoff, S., &; Meyer auf der Heide, F. (2014). Continuous Aggregation in Dynamic Ad-Hoc Networks. In Structural Information and Communication Complexity. Cham.https://doi.org/10.1007/978-3-319-09620-9_16 

Bause, F., Schroder, A., Rautenberg, J., Henning, B., &; Gravenkamp, H. (2014). Time-causal material modeling in the simulation of guided waves in circular viscoelastic waveguides. In 2014 IEEE International Ultrasonics Symposium.https://doi.org/10.1109/ultsym.2014.0333 

Bause, F., Weber, D., Rautenberg, J., &; Henning, B. (2014). Unsicherheitsanalyse eines Vorwärtsmodells zur Simulation transienter Wellenausbreitung im Hohlzylinder. Presented at the 17. ITG/GMA-Fachtagung Sensoren und Messsysteme, Berlin: VDE Verlag.

Bause, F., Brückner, C., Miedl, J., &; Henning, B. (2014). Model based sensitivity analysis of Leaky-Lamb wave propagation to the variation of viscous lubricant properties. In I. Gesellschaft im VDE (Ed.), Beiträge der 17. ITG/GMA-Fachtagung. Berlin: VDE Verlag.

Hoof, C., Appelhans, S., &; Henning, B. (2014). Modellgestützte Analyse des Trocknungsverhaltens von Dispersionslacken aus Daten einer NIR-Multidetektoranordnung. Presented at the 17. ITG/GMA-Fachtagung Sensoren und Messsysteme, Nürnberg.

Unverzagt, C., &; Henning, B. (2014). Sensitivitätssteigerung im Rahmen eines inversen Ansatzes zur Materialparameterbestimmung für Piezokeramiken durch Elektrodenmodifikationen (pp. 95–102).

Gravenkamp, H., Bause, F., &; Chongmin, S. (2014). On the computation of dispersion curves for axisymmetric elastic waveguides using the Scaled Boundary Finite Element Method. Computers and Structures, 131, 46–55.

Hellebrand, S., &; Wunderlich, H.-J. (2014). SAT-Based ATPG beyond Stuck-at Fault Testing. DeGruyter Journal on Information Technology (It), 56(4), 165–172.

Rodriguez Gomez, L., Cook, A., Indlekofer, T., Hellebrand, S., &; Wunderlich, H.-J. (2014). Adaptive Bayesian Diagnosis of Intermittent Faults. Journal of Electronic Testing - Theory and Applications (JETTA), 30(5), 527–540.

Graf, T., &; Platzner, M. (2014). Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go. In 2014 IEEE Conference on Computational Intelligence and Games (pp. 1–8).https://doi.org/10.1109/CIG.2014.6932863 

Bause, F., Webersen, M., Rautenberg, J., &; Henning, B. (2014). Modeling and inverse identification of a high bandwidth ultrasonic measurement setup based on piezoelectric 1-3 composites.

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

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

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

Henzgen, S., &; Hüllermeier, E. (2014). Mining Rank Data. In Proceedings Discovery Science, Bled,Slovenia  (pp. 123–134).

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

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

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

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

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

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

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

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

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

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

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

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

Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., &; Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.

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

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

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

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

Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V.,  Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10.

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

Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T.,  Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169.

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

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

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

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

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

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

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

Kuznik, C., &; Müller, W. (2014). Verific-MM: Systematized Verification Metrics Generation with UCIS for Improved Automation on Verification Closure. Design, Automation and Test in Europe DATE, University Booth, Dresden.

Scheytt, C. (2014). System-on-Chip Design für Funkfrequenzen oberhalb von 100 GHz-Herausforderungen und potenzielle Anwendungen. Analog 2014,14. Fachtagung Der Gesellschaft Für Mikroelektronik, Mikrosystemtechnik Und Feinwerktechnik Des VDE Und VDI.

Elkhouly, M., Mao, Y., Meliani, C., Scheytt, C., &; Ellinger, F. (2014). A -Band Four-Element Butler Matrix in 0.13 µm SiGe BiCMOS Technology. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 49(9).

Oetjens, J.-H., Becker, M., Kuznik, C., Müller, W., Bannow, N., Brinkmann, O., Burger, A., Chaari, M., Chakraborty, S., Drechsler, R., Ecker, W., Grüttner, K., Kruse, T., Le, H. M., Mauderer, M., Mueller-Gritschneider, D., Poppen, F., Post, H., Reiter, Se.,https://doi.org/10.1145/2593069.2602976__Viehl, A. (2014). Safety Evaluation of Automotive Electronics Using Virtual Prototypes: State of the Art and Research Challenges. Design Automation Conference (DAC).https://doi.org/10.1145/2593069.2602976 

Wallscheid, O., Huber, T., Peters, W., &; Böcker, J. (2014). Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors—A review. IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society, 811–818.

Specht, A., Wallscheid, O., &; Böcker, J. (2014). Determination of rotor temperature for an interior permanent magnet synchronous machine using a precise flux observer. 2014 International Power Electronics Conference (IPEC-Hiroshima 2014-ECCE ASIA), 1501–1507.

Schafmeister, F., Ide, P., &; Richter, J. (2014). Adaptable AC Input Phase Switching for Optimum Utilization of Various Grid Configurations supplying Power Electronic Converters and EV/HEV On Board Chargers. Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM).  IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 14), Nuremberg, Germany.

Li, R., Njiende, H., Schafmeister, F., &; Ide, P. (2014). A Soft-Switching Interleaved DC-DC Converter with Integrated Magnetics for High Voltage Battery Charger. Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM). IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 14), Nuremberg, Germany.

Schafmeister, F., Hufnagel, M., &; Ide, P. (2014). Resistorless Precharging of Boost PFCs by Phase Angle Control of Thyristors. Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM).  IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 14), Nuremberg, Germany.

Henke, C., &; Trächtler, A. (2014). Autonomously driven railway cabin convoys — Communication, control design and experimentation. 2013 International Conference on Connected Vehicles and Expo (ICCVE).https://doi.org/10.1109/iccve.2013.6799806 

Peters, W., &; Böcker, J. (2014). Discrete-time design of adaptive current controller for interior permanent magnet synchronous motors (IPMSM) with high magnetic saturation. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.https://doi.org/10.1109/iecon.2013.6700225 

Buchholz, O., &; Böcker, J. (2014). FPGA-based dynamically reconfigurable control of induction motor drives. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.https://doi.org/10.1109/iecon.2013.6699698 

Huber, T., Peters, W., &; Böcker, J. (2014). Monitoring critical temperatures in permanent magnet synchronous motors using low-order thermal models. 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA).https://doi.org/10.1109/ipec.2014.6869785 

Leuer, M., &; Böcker, J. (2014). Real-time implementation of an online Model Predictive Control for IPMSM using parallel computing on FPGA. 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA).https://doi.org/10.1109/ipec.2014.6869605 

Leuer, M., Ruting, A., &; Böcker, J. (2014). Efficiency-optimized Model Predictive Torque Control for IPMSM. 2014 IEEE International Energy Conference (ENERGYCON).https://doi.org/10.1109/energycon.2014.6850398 

Buchholz, O., &; Böcker, J. (2014). FPGA-based dynamically reconfigurable control of induction motor drives. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.https://doi.org/10.1109/iecon.2013.6699698 

Vogt, T., Peters, A., Fröhleke, N., Böcker, J., &; Kempen, S. (2014). Power profile based selection and operation optimization of parallel-connected power converter combinations. 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA).https://doi.org/10.1109/ipec.2014.6870091 

Solanki, J., Fröhleke, N., Böcker, J., Duppe, G., Averberg, A., &; Wallmeier, P. (2014). Voltage sequence control based high-current rectifier system. 2014 IEEE Energy Conversion Congress and Exposition (ECCE).https://doi.org/10.1109/ecce.2014.6953958 

Solanki, J., Fröhleke, N., &; Böcker, J. (2014). A completely modular power converter for high-power high-current DC applications. IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.https://doi.org/10.1109/iecon.2013.6699127 

Specht, A. (2014). Ermittlung der Rotortemperatur einer Synchronmaschine mit eingebetteten Permanentmagneten für einen automobilen Traktionsantrieb mittels Beobachter basierend auf elektrischen Größen.

Cao, Z. (2014). Model-Based Development of DC-DC Converters with Wide Operation Range and High Dynamics.

Hu, M. (2014). Modeling Optimization and Control Design for LCC Resonant Converter Applied in Very Low Frequency High Voltage Generator.

Pohlenz, D. (2014). Wirkungsgradoptimale Regelung eines elektrischen Fahrantriebes mit variabler Zwischenkreisspannung.

Grote, T. (2014). Digital Control for Interleaved Boost Power Factor Correction (PFC) Rectifiers.

Leuer, M. (2014). Modellprädiktive Regelung permanent erregter Synchronmotoren im Antriebsstrang von Automobilen.

Uebener, S. (2014). Evaluierung und Anwendung eines Emulators für elektrische Maschinen in der Entwicklung von Elektro- und Hybridfahrzeugen.

Schneider, T. (2014). Traktionsantrieb mit linearem geschalteten Reluktanzmotor für ein autonomes Bahnfahrzeug.

Wendlandt, S., Krause, M., Berendes, S., Hanusch, M., Drobisch, A., Berghold, J., Schoppa, M., Grunow, P., &; Krauter, S. (2014). Comparison of Hot Spot Investigations under Laboratory and Field Conditions at Photovoltaic Modules. Proceedings of the 29th European Photovoltaic Solar Energy Conference and Exhibition, Amsterdam (The Netherlands), September 22-16, 2014.

Ober-Blöbaum, S., &; Lindhorst, H. (2014). Variational formulation and structure-preserving discretization of nonlinear electric circuits. 21st International Symposium on Mathematical Theory of Networks and Systems.

Gail, T., Leyendecker, S., &; Ober-Blöbaum, S. (2014). On the role of quadrature rules and system dimensions in variational multirate integrators. 3rd Joint Interntaional Conference on Multibody System Dynamics .

Trächtler, A., Kleinjohann, B., Heinzemann, C., Rasche, C., Priesterjahn, C., Steenken, D., Wehrheim, H., Gausemeier, J., Flaßkamp, K., Kleinjohann, L., Krüger, M., Iwanek, P., Hartmann, P., Dorociak, R., Groesbrink, S., Ziegert, S., Meyer, T., Sextro, W., &; Schäfer, W. (2014). Case Study. In J. Gausemeier, F. Josef Rammig, W. Schäfer, &; W. Sextro (Eds.), Dependability of Self-Optimizing Mechatronic Systems (pp. 173–188). Springer Berlin Heidelberg.https://doi.org/10.1007/978-3-642-53742-4_4 

Ober-Blöbaum, S., &; Saake, N. (2014). Construction and analysis of higher order Galerkin variational integrators. Advances in Computational Mathematics, 1–32.