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10551 Publications


2020 | Journal Article | LibreCat-ID: 16965
Schürmann M, Schaper N, Liebendörfer M, et al. Ein Kurzbericht aus dem Forschungsprojekt WiGeMath-Lernzentren als Unterstützungsmaßnahme für mathematikbezogenes Lernen in der Studieneingangsphase. dghd-Newsletter. 2020;01/2020:25-29.
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2020 | Book Chapter | LibreCat-ID: 47261
Haney JM, Furman SM, Acar Y. Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges. In: HCI for Cybersecurity, Privacy and Trust. Springer International Publishing; 2020. doi:10.1007/978-3-030-50309-3_26
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2020 | Conference Paper | LibreCat-ID: 47260
Wermke D, Huaman N, Stransky C, Busch N, Acar Y, Fahl S. Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites. In: Lipford HR, Chiasson S, eds. Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020. USENIX Association; 2020:359–377.
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2020 | Conference Paper | LibreCat-ID: 47262
Gorski PL, Acar Y, Lo Iacono L, Fahl S. Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM; 2020. doi:10.1145/3313831.3376142
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2020 | Conference Paper | LibreCat-ID: 47879
Haney J, Furman S, Acar Y. Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges. In: International Conference on Human-Computer Interaction, Copenhagen, -1; 2020.
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2020 | Conference Paper | LibreCat-ID: 46331
Seiler M, Trautmann H, Kerschke P. Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN). ; 2020:1–8. doi:10.1109/IJCNN48605.2020.9207338
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Bäck T, Preuss M, Deutz A, et al., eds. Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI). ; 2020:48–64. doi:10.1007/978-3-030-58112-1_4
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2020 | Journal Article | LibreCat-ID: 46334
Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi:https://doi.org/10.1016/j.asoc.2019.105901
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2020 | Conference Paper | LibreCat-ID: 46322
Bossek J, Grimme C, Rudolph G, Trautmann H. Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). ; 2020:1–8. doi:10.1109/CEC48606.2020.9185778
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2020 | Conference Paper | LibreCat-ID: 46324
Bossek J, Kerschke P, Trautmann H. Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC). IEEE; 2020:1–8.
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20). ACM; 2020:166–174.
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2020 | Journal Article | LibreCat-ID: 55288
Baier St, Technau M. On the distribution of αp modulo one in imaginary quadratic number fields with class number one. J Théor Nombres Bordx. 2020;32(2):719–760. doi:10.5802/jtnb.1141
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 55286
Technau M. Modular hyperbolas and Beatty sequences. J Number Theory. 2020;208:148–167. doi:10.1016/j.jnt.2019.07.022
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2020 | Journal Article | LibreCat-ID: 55287
Shparlinski IE, Technau M. Kloosterman sums with twice-differentiable functions. Funct Approximatio, Comment Math. 2020;63(1):113–124. doi:10.7169/facm/1845
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2020 | Journal Article | LibreCat-ID: 55283
Barth D, Beck M, Dose T, Glaßer Ch, Michler L, Technau M. Emptiness problems for integer circuits. Theoretical Computer Science. 2020;824-825:11–35. doi:10.1016/j.tcs.2020.03.023
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2020 | Book | LibreCat-ID: 51488
Hilgert J. Mathematik studieren -- Ein Ratgeber für Erstsemester und solche, die es vielleicht werden wollen. Springer Spektrum; 2020.
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2020 | Conference Paper | LibreCat-ID: 35814
Biehler R, Fleischer FY, Budde L, 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: Arnold P, ed. New Skills in the Changing World of Statistics Education Proceedings of the Roundtable Conference of the International Association for Statistical Education (IASE). ISI/IASE; 2020.
LibreCat
 

2020 | Book Chapter | LibreCat-ID: 35823
Fleischer FY, Biehler R. Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht. In: Siller H-S, Weigel W, Wörler JF, eds. Beiträge zum Mathematikunterricht 2020. WTM-Verlag; 2020. doi:10.17877/DE290R-21301
LibreCat | DOI
 

2020 | Journal Article | LibreCat-ID: 37122
Niewöhner N, Asmar L, Röltgen D, Kühn A, Dumitrescu R. The impact of the 4th industrial revolution on the design fields of innovation management. Procedia CIRP. 2020;91:43-48. doi:10.1016/j.procir.2020.02.149
LibreCat | DOI
 

2020 | Book | LibreCat-ID: 37125
Schuh G, Anderl R, Dumitrescu R, Krüger A, ten Hompel M. Der Industrie 4.0 Maturity Index in der betrieblichen Anwendung. Aktuelle Herausforderungen, Fallbeispiele und Entwicklungstrends (acatech KOOPERATION). acatech – Deutsche Akademie der Technikwissenschaften; 2020.
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