Weidmann, N., Anjorin, A., Robrecht, P., &; Varró, G. (2019). Incremental (Unidirectional) Model Transformation with eMoflon::IBeX. In E. Guerra &; F. Orejas (Eds.), Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019 (pp. 131–140). Eindhoven, The Netherlands: Springer.https://doi.org/10.1007/978-3-030-23611-3‑8 
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Weidmann, N., Anjorin, A., Fritsche, L., Varró, G., Schürr, A., &; Leblebici, E. (2019). Incremental Bidirectional Model Transformation with eMoflon::IBeX. In J. Cheney &; H.-S. Ko (Eds.), Proceedings of the 8th International Workshop on Bidirectional Transformations co-located with the Philadelphia Logic Week, Bx@PLW 2019 (pp. 45–55). Philadelphia, PA, USA: CEUR-WS.org.
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Claes, L., Hülskämper, L. M., Baumhögger, E., Feldmann, N., Chatwell, R. S., Vrabec, J., &; Henning, B. (2019). Acoustic absorption measurement for the determination of the volume viscosity of pure fluids / Messverfahren für die akustischen Absorption zur Bestimmung der Volumenviskosität reiner Fluide. Tm - Technisches Messen, 2–6.https://doi.org/10.1515/teme-2019-0038 
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El Baff, R., Wachsmuth, H., Al-Khatib, K., Stede, M., &; Stein, B. (2019). Computational Argumentation Synthesis as a Language Modeling Task. In Proceedings of the 12th International Conference on Natural Language Generation (pp. 54–64). Tokyo, Japan: Association for Computational Linguistics.
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Hippert, B. (2019). The relationship between announcements of complete mergers and acquisitions and acquirers’ abnormal CDS spread changes. Working Papers Dissertations from Paderborn University, Faculty of Business Administration and Economics.
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Gu, Y., Hehenkamp, B., &; Leininger, W. (2019). Evolutionary equilibrium in contests with stochastic participation: Entry, effort and overdissipation. Journal of Economic Behavior &; Organization, 469–485.https://doi.org/10.1016/j.jebo.2019.06.011 
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Wünderlich, N. V., Hogreve, J., Chowdhury, I. N., Fleischer, H., Mousavi, S., Rötzmeier-Keuper, J., &; Sousa, R. (2019). Overcoming vulnerability: Channel design strategies to alleviate vulnerability perceptions in customer journeys. Journal of Business Research.https://doi.org/10.1016/j.jbusres.2019.07.027 
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Thol, M., Javed, M. A., Baumhögger, E., Span, R., &; Vrabec, J. (2019). Thermodynamic Properties of Dodecamethylpentasiloxane, Tetradecamethylhexasiloxane, and Decamethylcyclopentasiloxane. Industrial &; Engineering Chemistry Research, 9617–9635.https://doi.org/10.1021/acs.iecr.9b00608 
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Javed, M. A., Baumhögger, E., &; Vrabec, J. (2019). Thermodynamic Speed of Sound Data for Liquid and Supercritical Alcohols. Journal of Chemical &; Engineering Data, 1035–1044.https://doi.org/10.1021/acs.jced.8b00938 
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Beverungen, D., Bartelheimer, C., &; Wolf, V. (2019). Smart Service Systems als Handlungsfeld einer konvergierenden Dienstleistungsforschung. In Stich, V.; Schumann, J.H.; Beverungen, D.; Gudergan, G.; Jussen, P.  (Ed.), Digitale Dienstleistungsinnovationen – Smart Services agil und kundenorientiert entwickeln. Wiesbaden: SpringerVieweg.
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Post, T., Heuermann, A., Wiesner, S., Olschewski, D., Maaß, W., Klatt, R.,https://doi.org/10.31030/3085072__Falkus, M. (2019). DIN SPEC 33453:2019-09, Entwicklung digitaler Dienstleistungssysteme.https://doi.org/10.31030/3085072 
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Feldmann, M., Götte, T., &; Scheideler, C. (2019). A Loosely Self-stabilizing Protocol for Randomized Congestion Control with Logarithmic Memory. In Proceedings of the 21st International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) (pp. 149–164). Springer, Cham.https://doi.org/10.1007/978-3-030-34992-9_13 
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DOI: https://doi.org/10.1007/978-3-030-34992-9_13
arXiv: 1909.04544

Peter, S. K., Kaulen, C., Hoffmann, A., Ogieglo, W., Karthäuser, S., Homberger, M.,https://doi.org/10.1021/acs.jpcc.8b12039__Simon, U. (2019). Stepwise Growth of Ruthenium Terpyridine Complexes on Au Surfaces. The Journal of Physical Chemistry C, 123(11), 6537–6548.https://doi.org/10.1021/acs.jpcc.8b12039 
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DOI: 10.1021/acs.jpcc.8b12039

Rittinghaus, R. D., Schäfer, P. M., Albrecht, P., Conrads, C., Hoffmann, A., Ksiazkiewicz, A. N.,https://doi.org/10.1002/cssc.201900481__Herres-Pawlis, S. (2019). New Kids in Lactide Polymerization: Highly Active and Robust Iron Guanidine Complexes as Superior Catalysts. ChemSusChem, 12(10), 2161–2165.https://doi.org/10.1002/cssc.201900481 
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Javed, M. A., Baumhögger, E., &; Vrabec, J. (2019). Thermodynamic speed of sound of xenon. The Journal of Chemical Thermodynamics.https://doi.org/10.1016/j.jct.2019.105933 
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DOI: 10.1016/j.jct.2019.105933

Kodalle, T., Kormath Madam Raghupathy, R., Bertram, T., Maticiuc, N., Yetkin, H. A., Gunder, R.,https://doi.org/10.1002/pssr.201800564__Mirhosseini, H. (2019). Properties of Co-Evaporated RbInSe2 Thin Films. Physica Status Solidi (RRL)--Rapid Research Letters, 13(3), 1800564.https://doi.org/10.1002/pssr.201800564 
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Clark, T., Heske, J. J., &; Kühne, T. (2019). Opposing Electronic and Nuclear Quantum Effects on Hydrogen Bonds in O and O. ChemPhysChem, 20(0), 1–6.https://doi.org/10.1002/cphc.201900839 
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DOI: 10.1002/cphc.201900839

Kaliannan, N. K., Henao Aristizabal, A., Wiebeler, H., Zysk, F., Ohto, T., Nagata, Y., &; D. Kühne, T. (2019). Impact of intermolecular vibrational coupling effects on the sum-frequency generation spectra of the water/air interface. Molecular Physics, 0(0), 1–10.https://doi.org/10.1080/00268976.2019.1620358 
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DOI: 10.1080/00268976.2019.1620358

Müller, P., Neuba, A., Flörke, U., Henkel, G., Kühne, T. D., &; Bauer, M. (2019). Experimental and Theoretical High Energy Resolution Hard X-ray Absorption and Emission Spectroscopy on Biomimetic Cu2 Complexes. The Journal of Physical Chemistry A, 123(16), 3575–3581.https://doi.org/10.1021/acs.jpca.9b00463 
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DOI: 10.1021/acs.jpca.9b00463

Walczak, R., Savateev, A., Heske, J. J., Tarakina, N. V., Sahoo, S., Epping, J. D.,https://doi.org/10.1039/C9SE00486F__Oschatz, M. (2019). Controlling the strength of interaction between carbon dioxide and nitrogen-rich carbon materials by molecular design. Sustainable Energy Fuels.https://doi.org/10.1039/C9SE00486F 
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DOI: 10.1039/C9SE00486F

Elgabarty, H., Kaliannan, N. K., &; Kühne, T. D. (2019). Enhancement of the asymmetry in the hydrogen bond network of liquid water by an ultrafast electric field pulse. Scientific Reports, 9, 10002.https://doi.org/10.1038/s41598-019-46449-5 
LibreCat: /record/13237
DOI: 10.1038/s41598-019-46449-5

Tanaka, S., Tierney, K., Parreño-Torres, C., Alvarez-Valdes, R., &; Ruiz, R. (2019). A Branch and Bound Approach for Large Pre-Marshalling Problems. European Journal of Operational Research, 211–225.https://doi.org/10.1016/j.ejor.2019.04.005 
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DOI: 10.1016/j.ejor.2019.04.005

Ansótegui, C., Heymann, B., Pon, J., Sellmann, M., &; Tierney, K. (2019). Hyper-Reactive Tabu Search for MaxSAT. In Learning and Intelligent Optimization (pp. 309–325). Cham: Springer International Publishing.https://doi.org/10.1007/978-3-030-05348-2_27 
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Wolters, D., Kirchhoff, J., &; Engels, G. (2019). Specifying Web Interfaces for Command-line Applications Based on OpenAPI. In S. Yangui, A. Bouguettaya, X. Xue, N. Faci, W. Gaaloul, Q. Yu,https://doi.org/10.1007/978-3-030-45989-5‑3__E. Y. Nakagawa (Eds.), Service-Oriented Computing – ICSOC 2019 Workshops (Vol. 12019, pp. 30–41). Springer.https://doi.org/10.1007/978-3-030-45989-5‑3 
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Guevara-Carrion, G., Ancherbak, S., Mialdun, A., Vrabec, J., &; Shevtsova, V. (2019). Diffusion of Methane in Supercritical Carbon Dioxide Across the Widom Line. Scientific Reports, 9.https://doi.org/10.1038/s41598-019-44687-1 
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DOI: 10.1038/s41598-019-44687-1

von Neumann, T., Kinoshita, K., Delcroix, M., Araki, S., Nakatani, T., &; Haeb-Umbach, R. (2019). All-neural Online Source Separation, Counting, and Diarization for Meeting Analysis. In ICASSP 2019, Brighton, UK.
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Chatwell, R. S., Heinen, M., &; Vrabec, J. (2019). Diffusion Limited Evaporation of a Binary Liquid Film. International Journal of Heat and Mass Transfer, 132, 1296–1305.https://doi.org/10.1016/j.ijheatmasstransfer.2018.12.030 
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DOI: 10.1016/j.ijheatmasstransfer.2018.12.030

Fingerhut, R., &; Vrabec, J. (2019). Kirkwood-Buff Integration: A Promising Route to Entropic Properties? Fluid Phase Equilibria, 270–281.https://doi.org/10.1016/j.fluid.2018.12.015 
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DOI: 10.1016/j.fluid.2018.12.015

Lin, Z., Huang, L., Xu, Z. T., Li, X., Zentgraf, T., &; Wang, Y. (2019). FourWave Mixing Holographic Multiplexing Based on Nonlinear Metasurfaces. Advanced Optical Materials, 7(21), 1900782.https://doi.org/10.1002/adom.201900782 
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DOI: 10.1002/adom.201900782

Schneider, S. B., Peuster, M., Hannemann, K., Behnke, D., Müller, M., Bök, P.-B., &; Karl, H. (2019). “Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track. Dallas, TX, USA: IEEE.
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Cho, F. H., Peng, Z., Biktagirov, T., Gerstmann, U., &; Takahashi, S. (2019). Investigation of Near-Surface Defects of Nanodiamonds by High-Frequency EPR and DFT Calculation. The Journal of Chemical Physics, 150(13), 134702.https://doi.org/10.1063/1.5085351 
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DOI: 10.1063/1.5085351

von Bardeleben, H. J., Zhou, S., Gerstmann, U., Skachkov, D., Lambrecht, W. R. L., Ho, Q. D., &; Deák, P. (2019). Proton Irradiation Induced Defects in ;2-GO3: A Combined EPR and Theory Study. APL Materials, 7.https://doi.org/10.1063/1.5053158 
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DOI: 10.1063/1.5053158

Schulz, A., Wecker, C., &; Kenig, E. (2019). Methode zur Erfassung von Stofftransport an fluiden Phasengrenzflächen. Chemie Ingenieur Technik.https://doi.org/10.1002/cite.201900030 
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DOI: 10.1002/cite.201900030

Schulz, A., Wecker, C., &; Kenig, E. (2019). Ein Finite-Volumen Ansatz für den Stoffübergang an bewegten Phasengrenzflächen. Presented at the Jahrestreffen der ProcessNet-Fachgruppe Computational Fluid Dynamics, Frankfurt: Jahrestreffen der ProcessNet-Fachgruppe Computational Fluid Dynamics.
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Wecker, C., Schulz, A., Heine, J., Bart, H.-J., &; Kenig, E. (2019). Numerische Untersuchungen zum Stofftransport und Fluidmechanik bei der Tropfenbildung. Presented at the Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, Essen: Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport.
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Heine, J., Wecker, C., Kenig, E., &; Bart, H.-J. (2019). Visualization of Marangoni Phenomena during Droplet Formation. Presented at the 10th International Conference on Multiphase Flow, Rio de Janeiro, Brasilien: 10th International Conference on Multiphase Flow.
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Heine, J., Wecker, C., Kenig, E., &; Bart, H.-J. (2019). In-situ Messung des Stofftransports bei der Tropfenbildung. Presented at the Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport, Essen: Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport.
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Wecker, C., Schulz, A., Heine, J., Bart, H.-J., &; Kenig, E. (2019). Stofftransport und Fluidmechanik bei der Tropfenbildung unter Berücksichtigung von Marangonikonvektion mittels CFD. Presented at the Jahrestreffen der ProcessNet-Fachgruppe Extraktion, Muttenz, Schweiz: Jahrestreffen der ProcessNet-Fachgruppe Extraktion.
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Heine, J., Wecker, C., Kenig, E., &; Bart, H.-J. (2019). Stofftransport bei der Tropfenbildung. Presented at the Jahrestreffen der ProcessNet-Fachgruppe Extraktion, Muttenz, Schweiz: Jahrestreffen der ProcessNet-Fachgruppe Extraktion.
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Zibart, A., &; Kenig, E. (2019). Reduktion von parasitären Strömungen in Mehrphasensimulationen durch Verwendung der Height-Function Methode. Presented at the ProcessNet-Fachgruppe Computational Fluid Dynamics, Frankfurt: ProcessNet-Fachgruppe Computational Fluid Dynamics.
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Dridger, A., Caylak, I., Mahnken, R., &; Penner, E. (2019). “A possibilistic finite element method for sparse data.”https://doi.org/10.1080/09617353.2018.1552477__Safety and Reliability, 58–82.https://doi.org/10.1080/09617353.2018.1552477 
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DOI: 10.1080/09617353.2018.1552477

Ju, X., &; Mahnken, R. (2019). “Goal-oriented h-type adaptive finite elements for micromorphic elastoplasticity.”https://doi.org/10.1016/j.cma.2019.01.031__Computer Methods in Applied Mechanics and Engineering, 297–329.https://doi.org/10.1016/j.cma.2019.01.031 
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DOI: 10.1016/j.cma.2019.01.031

Mäck, M., Caylak, I., Edler, P., Freitag, S., Hanss, M., Mahnken, R.,https://doi.org/10.1002/gamm.201900005__Penner, E. (2019). “Optimization with constraints considering polymorphic uncertainties.”https://doi.org/10.1002/gamm.201900005__GAMM-Mitteilungen.https://doi.org/10.1002/gamm.201900005 
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DOI: 10.1002/gamm.201900005

Friesen, E. (2019). Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn.
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Camberg, A. A., Stratmann, I., &; Tröster, T. (2019). TAILORED STACKED HYBRIDS – AN OPTIMIZATION-BASED APPROACH IN MATERIAL DESIGN FOR FURTHER IMPROVEMENT IN LIGHTWEIGHT CAR BODY STRUCTURES. In Technologies for economical and functional lightweight design. Berlin, Heidelberg.https://doi.org/10.1007/978-3-662-58206-0_12 
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Manavi, S. A., &; Kenig, E. (2019). Numerical Simulation of Forced Convection in a Microchannel with Realistic Roughness of 3D Printed Surface. In Computer Aided Chemical Engineering. Eindhoven, Netherlands: 29th European Symposium on Computer Aided Process Engineering.https://doi.org/10.1016/b978-0-12-818634-3.50138-7 
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Redder, A., Ramaswamy, A., &; Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA.
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Eggert, A., Kleinaltenkamp, M., &; Kashyap, V. (2019). Mapping Value in Business Markets: An Integrative Framework. Industrial Marketing Management, 79, 13--20.
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Garnefeld, I., Eggert, A., Husemann-Kopetzky, M., &; Boehm, E. (2019). Exploring the link between payment schemes and customer fraud: a mental accounting perspective. Journal of the Academy of Marketing Science, 47(4), 595--616.
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Eggert, A., Boehm, E., Akalan, R., &; Gebauer, H. (2019). Service Growth by Acquisition – An Event Study.
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Eggert, A., Steinhoff, L., &; Witte, C. (2019). Gift Purchases as Catalysts for Strengthening Customer–Brand Relationships. Journal of Marketing.
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Sextro, W., &; Brökelmann, M. (2019). Intelligente Herstellung zuverlässiger Kupferbondverbindungen (Vol. VIII). Springer Verlag.https://doi.org/10.1007/978-3-662-55146-2 
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Fränzle, M., Kapur, D., Wehrheim, H., &; Zhan, N. (2019). Editorial. Formal Asp. Comput., 31(1), 1.https://doi.org/10.1007/s00165-018-00477-6 
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DOI: 10.1007/s00165-018-00477-6

Johannesmann, S., Springer, D., Thiel, C., &; Henning, B. (2019). Störeffektunterdrückung in 2D-Messdaten mittels DiscoGAN. In D. Gesellschaft für Akustik e.V. (Ed.), Fortschritte der Akustik - DAGA 2019 (Vol. 45, pp. 1055–1058). Rostock: Deutsche Gesellschaft für Akustik.
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Gries, T. (2019). A New Theory of Demand-Restricted Growth: The Basic Idea. The American Economist.https://doi.org/10.1177/0569434519846477 
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DOI: 10.1177/0569434519846477

König, J., &; Wehrheim, H. (2019). Data Independence for Software Transactional Memory. In J. M. Badger &; K. Yvonne Rozier (Eds.), NASA Formal Methods - 11th International Symposium, NFM 2019, Houston, TX, USA, May 7-9, 2019, Proceedings (Vol. 11460, pp. 263–279). Springer.https://doi.org/10.1007/978-3-030-20652-9‑18 
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Doherty, S., Dongol, B., Wehrheim, H., &; Derrick, J. (2019). Verifyinghttps://doi.org/10.1145/3293883.3295702__programs operationally. In J. K. Hollingsworth &; I. Keidar (Eds.), Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2019, Washington, DC, USA, February 16-20, 2019 (pp. 355–365). ACM.https://doi.org/10.1145/3293883.3295702 
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Beyer, D., Jakobs, M.-C., Lemberger, T., &; Wehrheim, H. (2019). Combining Verifiers in Conditional Model Checking via Reducers. In S. Becker, I. Bogicevic, G. Herzwurm, &; S. Wagner (Eds.), Software Engineering and Software Management (SE/SWM 2019), Stuttgart, Germany, February 18-22, 2019 (Vol. P-292, pp. 151--152). GI.https://doi.org/10.18420/se2019-46 
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Sharma, A., &; Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In S. Becker, I. Bogicevic, G. Herzwurm, &; S. Wagner (Eds.), Software Engineering and Software Management, SE/SWM 2019, Stuttgart, Germany, February 18-22, 2019 (Vol. P-292, pp. 157–158). GI.https://doi.org/10.18420/se2019-48 
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Richter, C., &; Wehrheim, H. (2019). PeSCo: Predicting Sequential Combinations of Verifiers - (Competition Contribution). In D. Beyer, M. Huisman, F. Kordon, &; B. Steffen (Eds.), Tools and Algorithms for the Construction and Analysis of Systems - 25 Years of TACAS: TOOLympics, Held as Part of ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings, Part III (Vol. 11429, pp. 229–233). Springer.https://doi.org/10.1007/978-3-030-17502-3_19 
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Beyer, D., &; Wehrheim, H. (2019). Verification Artifacts in Cooperative Verification: Survey and Unifying Component Framework. CoRR, abs/1905.08505.
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Hasso, T., Pelster, M., &; Breitmayer, B. (2019). Who trades cryptocurrencies, how do they trade it, and how do they perform? Evidence from brokerage accounts. Journal of Behavioral and Experimental Finance, 23, 64–74.https://doi.org/10.1016/j.jbef.2019.04.009 
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Haltermann, J. (2019). Analyzing Data Usage in Array Programs. Universität Paderborn.
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Webersen, M., Hüttner, M., Woitschek, F., Moritzer, E., &; Henning, B. (2019). Akustische Charakterisierung der mechanischen Eigenschaften künstlich gealterter Polymere. In Deutsche Gesellschaft für Akustik e.V. (DEGA) (Ed.), Fortschritte der Akustik - DAGA 2019. Rostock.
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Wever, M. D., Mohr, F., Tornede, A., &; Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.
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Bender, A., Reinke, K., &; Sextro, W. (2019). Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement. In 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019 (Vol. VDI-Berichte 2346, pp. 241–248). Bremen 2019.
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Kaul, T., Hentze, J., Sextro, W., &; Gräßler, I. (2019). Integration von Verlässlichkeitsmodellen der Entwicklung in einen Digitalen Zwilling zur Umsetzung einer vorausschauenden Instandhaltung. In Fachtagung Mechatronik 2019 Paderborn.
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Dunst, P., Hemsel, T., Bornmann, P., Littmann, W., &; Sextro, W. (2019). Modellbasierte und experimentelle Charakterisierung von intensiven Ultraschall-Stehwellenfeldern für die Zerstäubung hochviskoser Flüssigkeiten. In DAGA 2019. Rostock.
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N., N. (2019). Implementation and Evaluation of Authenticated Data Structures Using Intel SGX Enclaves. Universität Paderborn.
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Althaus, S. (2019). Optimizing Sales Channel Performance with Digital Experiments in the Crafting Industry. Universität Paderborn.
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Pelster, M., Breitmayer, B., &; Hasso, T. (2019). Are cryptocurrency traders pioneers or just risk-seekers? evidence from brokerage accounts. Economics Letters, 182, 98–100.https://doi.org/10.1016/j.econlet.2019.06.013 
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Feldotto, M., Lenzner, P., Molitor, L., &; Skopalik, A. (2019).  From Hotelling to Load Balancing: Approximation and the Principle of Minimum Differentiation. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1949--1951). Montreal QC, Canada: International Foundation for Autonomous Agents and Multiagent Systems.
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Lin, Z., Huang, L., Zhao, R., Wei, Q., Zentgraf, T., Wang, Y., &; Li, X. (2019). Dynamic control of mode modulation and spatial multiplexing using hybrid metasurfaces. Optics Express, 27(13), 18740–18750.https://doi.org/10.1364/oe.27.018740 
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Alshomary, M., Völske, M., Licht, T., Wachsmuth, H., Stein, B., Hagen, M., &; Potthast, M. (2019). Wikipedia Text Reuse: Within and Without. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, &; D. Hiemstra (Eds.), Advances in Information Retrieval (pp. 747–754). Cham: Springer International Publishing.
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