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10099 Publications
2020 | Conference Paper | LibreCat-ID: 52936
C. Dubslaff, P. Koopmann, and A.-Y. Turhan, “Give Inconsistency a Chance: Semantics for Ontology-Mediated Verification,” in Proceedings of the 33rd International Workshop on Description Logics {(DL} 2020) co-located with the 17th International Conference on Principles of Knowledge Representation and Reasoning {(KR} 2020), Online Event [Rhodes, Greece], September 12th to 14th, 2020, 2020, vol. 2663.
LibreCat
2020 | Book Chapter | LibreCat-ID: 52815
D. Büttner and E. Gürsoy, “„Sprachliche Barrieren als Herausforderung bei der Integration von Seiteneinsteiger_innen in das Berufskolleg“ – Lehrer_innenbildung im Spiegel des Integrations- und Inklusionsdiskurses,” in Inklusion in der Lehrerbildung für das berufliche Schulwesen. Beiträge zur Professionalisierung in der ersten Phase der Lehramtsausbildung, D. Münk and G. Scheiermann , Eds. Detmold: Eusl, 2020, pp. 179–197.
LibreCat
2020 | Journal Article | LibreCat-ID: 52817 | 
D. Büttner and H. Roll, “Migration und Mehrsprachigkeit zum Unterrichtsthema machen – Migrationsliteratur als Zugang im Deutschunterricht? ,” ProDaz-Journal, no. 4, 2020.
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2020 | Journal Article | LibreCat-ID: 53322
M. Winkler, “Approaching Critical Decay in a Strongly Degenerate Parabolic Equation,” Journal of Dynamics and Differential Equations, vol. 36, no. S1, pp. 3–23, 2020, doi: 10.1007/s10884-020-09892-x.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 39821
C. Pieper, B. Kottmann, and S. Miller, “Fallportraits von Bielefelder Grundschulkindern. Fallarbeit in der (phasenübergreifenden) Lehrer_innenbildung,” HLZ - Herausforderung Lehrer_innenbildung, Zeitschrift zur Konzeption, Gestaltung und Diskussion, vol. 3, no. 1, pp. 94–171, 2020, doi: 10.4119/HLZ-2484.
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| DOI
2020 | Journal Article | LibreCat-ID: 33594
S. Rezat and S. Rezat, “Schulbücher. Werkzeuge zum Üben in den Fächern Deutsch und Mathematik,” Die Grundschulzeitschrift 320, pp. 10–13, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 35814
R. Biehler et al., “Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education,” in New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), 2020.
LibreCat
2020 | Book Chapter | LibreCat-ID: 35821
L. Budde et al., “Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP,” in New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020, P. Arnold, Ed. Voorborg, The Netherlands: ISI/IASE, 2020.
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2020 | Conference Paper | LibreCat-ID: 35152
A. Lösch and M. Platzner, “MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes,” in 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020, pp. 6–16, doi: 10.1109/IPDPSW50202.2020.00012.
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2020 | Journal Article | LibreCat-ID: 53896
R. Khanjani Shiraz, M. Tavana, and H. Fukuyama, “A random-fuzzy portfolio selection DEA model using value-at-risk and conditional value-at-risk,” Soft Computing, vol. 24, no. 22, pp. 17167–17186, 2020, doi: 10.1007/s00500-020-05010-7.
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| DOI
2020 | Journal Article | LibreCat-ID: 53884
M. Tavana, K. Khalili-Damghani, F. J. Santos Arteaga, and A. Hashemi, “A Malmquist productivity index for network production systems in the energy sector,” Annals of Operations Research, vol. 284, no. 1, pp. 415–445, 2020, doi: 10.1007/s10479-019-03173-7.
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| DOI
2020 | Book Chapter | LibreCat-ID: 34320
J. Kanning and I. Kruse, “Zwischen emotionaler Verwundbarkeit und Wissensdrang - Zur Fragen generierenden Wirkung eines literarästhetisch anspruchsvollen zeitgeschichtlichen Bilderbuchs,” in Das narrative Bilderbuch. Türöffner zu literar-ästhetischer Bildung, Erzähl- und Buchkultur, G. Scherer, K. Heintz, and M. Bahn, Eds. Trier: WVT, 2020, pp. 265–300.
LibreCat
2020 | Conference Paper | LibreCat-ID: 47260
D. Wermke, N. Huaman, C. Stransky, N. Busch, Y. Acar, and S. Fahl, “Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites,” in Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020, 2020, pp. 359–377.
LibreCat
2020 | Conference Paper | LibreCat-ID: 47262
P. L. Gorski, Y. Acar, L. Lo Iacono, and S. Fahl, “Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs,” 2020, doi: 10.1145/3313831.3376142.
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| DOI
2020 | Conference Paper | LibreCat-ID: 47879
J. Haney, S. Furman, and Y. Acar, “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges,” 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46331
M. Seiler, H. Trautmann, and P. Kerschke, “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1–8, doi: 10.1109/IJCNN48605.2020.9207338.
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| DOI
2020 | Conference Paper | LibreCat-ID: 46330
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 46334
J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,” Applied Soft Computing, vol. 88, p. 105901, 2020, doi: https://doi.org/10.1016/j.asoc.2019.105901.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46322
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
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