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9893 Publications
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.
LibreCat
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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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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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
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| 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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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 | 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.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46342
Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H., & Trautmann, H. (2019). Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. AIP Conference Proceedings, 020052-1-020052–020054. https://doi.org/10.1063/1.5090019
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| DOI
2019 | Conference Paper | LibreCat-ID: 45388
Dröse, J. (2019). Comprehending mathematical problem texts – Fostering subject-specific reading strategies for creating mental text representation. In U. T. Jankvist, M. van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education. Freudenthal Group & ERME.
LibreCat
2019 | Conference Paper | LibreCat-ID: 45389
Dröse, J. (2019). Mathematical and linguistic features of word problems in grade 4 and 5 German textbooks – A compara-tive corpus linguistic approach. In S. Rezat, M. Hattermann, J. Schumacher, & H. Wuschke (Eds.), Proceedings of the Third International Conference on Mathematics Textbook Research and Development (pp. 161–166).
LibreCat
2019 | Conference Paper | LibreCat-ID: 29867
Faulwasser, T., Flaßkamp, K., Ober-Blöbaum, S., & Worthmann, K. (2019). Towards velocity turnpikes in optimal control of mechanical systems: Vol. 52(16) (IFAC-PapersOnLine, Ed.; pp. 490–495).
LibreCat
2019 | Conference Paper | LibreCat-ID: 15237 |
Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., & Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. Proc. 10th ISCA Speech Synthesis Workshop, 81–86. https://doi.org/10.21437/SSW.2019-15
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2019 | Conference Paper | LibreCat-ID: 15794 |
Ebbers, J., & Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCASE2019 Workshop, New York, USA.
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