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9825 Publications
2019 | Bachelorsthesis | LibreCat-ID: 45231
N., N. (2019). Conception of a digital Sales Bonus System based on Blockchain Technology.
LibreCat
2019 | Book | LibreCat-ID: 45387
Dröse, J. (2019). Textaufgaben lesen und verstehen lernen – Entwicklungsforschungsstudie zur mathematikspezifischen Leseverständnisförderung. Springer Spektrum.
LibreCat
2019 | Book Chapter | LibreCat-ID: 45390
Dröse, J., & Prediger, S. (2019). Scaffolding für fachbezogene textsortenspezifische Lesestrategien – Entwicklungsforschungsstudie zur Förderung des Umgangs mit Textaufgaben. In B. Ahrenholz, S. Jeuk, B. Lütke, J. Paetsch, & H. Roll (Eds.), Fachunterricht, Sprachbildung und Sprachkompetenzen (pp. 107–134). de Gruyter.
LibreCat
2019 | Conference Paper | LibreCat-ID: 14898
Schubert, P., Leer, R., Hermann, B., & Bodden, E. (2019). Know your analysis: how instrumentation aids understanding static analysis. Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis - SOAP 2019. https://doi.org/10.1145/3315568.3329965
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| DOI
2019 | Journal Article | LibreCat-ID: 45689
Bruns, J., & Eichen, L. (2019). Frühe mathematische Bildung im elementarpädagogischen Alltag. KiTa aktuell Österreich, 7(5), 85–86.
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2019 | Conference Paper | LibreCat-ID: 36529 | 
Bruns, J., & Gasteiger, H. (2019). VimaS_num: Measuring situational perception in mathematics of early childhood teachers. In M. Graven, H. Venkat, A. Essien, & P. Vale (Eds.), Proceedings of the 43rd Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 129–136).
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2019 | Journal Article | LibreCat-ID: 21531
Gasteiger, H., Bruns, J., Benz, C., Brunner, E., & Sprenger, P. (2019). Mathematical pedagogical content knowledge of early childhood teachers: a standardized situation-related measurement approach. ZDM, 52, 193–205. https://doi.org/10.1007/s11858-019-01103-2
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| DOI
2019 | Conference Paper | LibreCat-ID: 36542 |
Bruns, J., & Gasteiger, H. (2019). Mathematikdidaktischen Wissen von frühpädagogischen Fachkräften aus kognitiv-situationsbezogener Perspektive – Theoretisches Konstrukt und empirische Erfassung. In A. Frank, S. Krauss, & K. Binder (Eds.), Beiträge zum Mathematikunterricht 2019 (pp. 169–172). WTM-Verlag. https://doi.org/10.17877/DE290R-20771
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| DOI
| Download (ext.)
2019 | Book | LibreCat-ID: 45331
Schönherr, J. (2019). Selbst erstellte Skizzen beim mathematischen Modellieren: Ergebnisse einer empirischen Untersuchung [Self-generated drawings for modelling problems: Findings of an empirical study]. Springer Spektrum.
LibreCat
2019 | Mastersthesis | LibreCat-ID: 15874 |
Lienen, C. (n.d.). Implementing a Real-time System on a Platform FPGA operated with ReconOS. Universität Paderborn.
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| Files available
2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
LibreCat
| DOI
| arXiv
2019 | Journal Article | LibreCat-ID: 12871 |
Platzner, M., & Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum. https://doi.org/10.1007/s00287-019-01187-w
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| DOI
2019 | Conference Paper | LibreCat-ID: 46338
Bossek, J., Grimme, C., Meisel, S., Rudolph, G., & Trautmann, H. (2019). Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm. In K. Deb, E. Goodman, C. C. A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (Vol. 11411, pp. 516–528). Springer International Publishing. https://doi.org/10.1007/978-3-030-12598-1_41
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| DOI
2019 | Conference Paper | LibreCat-ID: 46343
Grimme, C., Kerschke, P., & Trautmann, H. (2019). Multimodality in Multi-Objective Optimization — More Boon than Bane? In K. Deb, E. Goodman, C. C. A. Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO) (Vol. 11411, pp. 126–138). Springer. https://doi.org/10.1007/978-3-030-12598-1_11
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| DOI
2019 | Journal Article | LibreCat-ID: 46345
Kerschke, P., Hoos, H. H., Neumann, F., & Trautmann, H. (2019). Automated Algorithm Selection: Survey and Perspectives. Evolutionary Computation (ECJ), 27(1), 3–45. https://doi.org/10.1162/evco_a_00242
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| DOI
2019 | Conference Paper | LibreCat-ID: 46339
Bossek, J., Kerschke, P., Neumann, A., Wagner, M., Neumann, F., & Trautmann, H. (2019). Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In T. Friedrich, C. Doerr, & D. Arnold (Eds.), Proceedings of the 15$^th$ ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV) (pp. 58–71). https://doi.org/10.1145/3299904.3340307
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46337
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. Pardalos (Eds.), Learning and Intelligent Optimization (Vol. 11353, pp. 215–219). Springer.
LibreCat
2019 | Journal Article | LibreCat-ID: 46344
Carnein, M., & Trautmann, H. (2019). Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Business and Information Systems Engineering (BISE), 61(3), 277–297.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46340
Carnein, M., Homann, L., Trautmann, H., & Vossen, G. (2019). A Recommender System Based on Omni-Channel Customer Data. Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 65–74.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46341
Carnein, M., & Trautmann, H. (2019). Customer Segmentation Based on Transactional Data Using Stream Clustering. Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), 280–292.
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