Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., &; Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management.https://doi.org/10.1109/TNSM.2021.3076503 
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Goller, M., &; Ziegler, S. (2021). Zum Zusammenhang von Berufsethos und der Berufswahlmotivation angehender Wirtschaftspädagog*innen. bwp@ Spezial, 18, 1–28.
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Nüske, F., Koltai, P., Boninsegna, L., &; Clementi, C. (2021). Spectral Properties of Effective Dynamics from Conditional Expectations. Entropy.https://doi.org/10.3390/e23020134 
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Hammer, M., Ebers, L., &; Förstner, J. (2021). Resonant evanescent excitation of guided waves with high-order optical angular momentum. Journal of the Optical Society of America B, 38(5), 1717.https://doi.org/10.1364/josab.422731 
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Gebken, B., &; Peitz, S. (2021). An efficient descent method for locally Lipschitz multiobjective optimization problems. Journal of Optimization Theory and Applications, 188, 696–723.https://doi.org/10.1007/s10957-020-01803-w 
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Gebken, B., &; Peitz, S. (2021). Inverse multiobjective optimization: Inferring decision criteria from data. Journal of Global Optimization, 80, 3–29.https://doi.org/10.1007/s10898-020-00983-z 
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Lu, J., Wirth, K. G., Gao, W., Heßler, A., Sain, B., Taubner, T., &; Zentgraf, T. (2021). Observing 0D subwavelength-localized modes at ~100 THz protected by weak topology. Science Advances, 7(49), Article eabl3903.https://doi.org/10.1126/sciadv.abl3903 
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Schubert, P., Hermann, B., &; Bodden, E. (2021). Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis. European Conference on Object-Oriented Programming (ECOOP).
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Bielak, C. R., Böhnke, M., Bobbert, M., &; Meschut, G. (n.d.). Further development of a numerical method for analyzing the load capacity of clinched joints in versatile process chains. ESAFORM 2021, Lüttich.https://doi.org/10.25518/esaform21.4298 
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Wever, M. D. (2021). Automated Machine Learning for Multi-Label Classification.https://doi.org/10.17619/UNIPB/1-1302 
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Otroshi, M., Meschut, G., &; Nesakumar, A. (2021). The influence of manufacturing processes and optical measurement methods on the damage behavior of LAD micro-alloyed steels. Journal of Manufacturing Engineering, 16(3), 70–76.https://doi.org/10.37255/jme.v16i3pp070-076 
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Kirchhoff, J., Burmeister, S. C., Weskamp, C., &; Engels, G. (2021). Towards a Decision Support System for Cross-Sectoral Energy Distribution Network Planning. In M. H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, &; O. Werth (Eds.), Energy Informatics and Electro Mobility ICT.
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Prester, J., Wagner, G., Schryen, G., &; Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems, 140(January), Article 113432.
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Wagner, G., Prester, J., Roche, M., Schryen, G., Benlian, A., Paré, G., &; Templier, M. (2021). Which Factors Affect the Scientific Impact of Review Papers in IS Research? A Scientometric Study. Information &; Management, 58(3), Article 103427.
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Stumpe, M., Rößler, D., Schryen, G., &; Kliewer, N. (2021). Study on Sensitivity of Electric Bus Systems under Simultaneous Optimization of Charging Infrastructure and Vehicle Schedules. EURO Journal on Transportation and Logistics, 10, Article 100049.https://doi.org/10.1016/j.ejtl.2021.100049 
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Wagner, G., Prester, J., &; Schryen, G. (2021). Exploring the Scientific Impact of Information Systems Design Science Research. Communications of the Association for Information Systems, 48(1), Article 37.
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Gerlach, R. (2021). The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems.https://doi.org/10.17619/UNIPB/1-1278 
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Karsten, A. (2021). Einblicke in explizite und implizite Erwartungen Lehrender an Studierendentexte. Textbasierte Interviews zu Zielen und Ertragen von fachsensiblem Peer-Textfeedback. In S. Lahm, F. Meyhöfer, &; F. Neumann (Eds.), Schreiblehrkonzepte an Hochschulen. Fallstudien und Reflexionen zum fachspezifischen Schreibenlehren und -lernen (Vol. 4, pp. 277–288). wbv.https://doi.org/10.3278/6004807w277 
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Gräßler, I., Oleff, C., &; Preuß, D. (2021). Holistic change propagation and impact analysis in requirements management (B. Wagner &; J. Wilson, Eds.).
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Bobolz, J., Eidens, F., Heitjohann, R., &; Fell, J. (2021). Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. IACR eprint.
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