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9868 Publications


2019 | Conference Paper | LibreCat-ID: 36542 | OA
Bruns J, Gasteiger H. Mathematikdidaktischen Wissen von frühpädagogischen Fachkräften aus kognitiv-situationsbezogener Perspektive – Theoretisches Konstrukt und empirische Erfassung. In: Frank A, Krauss S, Binder K, eds. Beiträge zum Mathematikunterricht 2019. WTM-Verlag; 2019:169-172. doi:10.17877/DE290R-20771
LibreCat | DOI | Download (ext.)
 

2019 | Book | LibreCat-ID: 45331
Schönherr J. Selbst erstellte Skizzen beim mathematischen Modellieren: Ergebnisse einer empirischen Untersuchung [Self-generated drawings for modelling problems: Findings of an empirical study]. Springer Spektrum; 2019.
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2019 | Mastersthesis | LibreCat-ID: 15874 | OA
Lienen C. Implementing a Real-Time System on a Platform FPGA Operated with ReconOS. Universität Paderborn
LibreCat | Files available
 

2019 | Journal Article | LibreCat-ID: 21
Richters D, Lass M, Walther A, Plessl C, Kühne T. A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 2019;25(2):564-585. doi:10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 

2019 | Journal Article | LibreCat-ID: 12871 | OA
Platzner M, Plessl C. FPGAs im Rechenzentrum. Informatik Spektrum. Published online 2019. doi:10.1007/s00287-019-01187-w
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme C, Kerschke P, Trautmann H. Multimodality in Multi-Objective Optimization — More Boon than Bane? In: Deb K, Goodman E, Coello CCA, et al., eds. Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO). Vol 11411. Lecture Notes in Computer Science. Springer; 2019:126–138. doi:10.1007/978-3-030-12598-1_11
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke P, Hoos HH, Neumann F, Trautmann H. Automated Algorithm Selection: Survey and Perspectives. Evolutionary Computation (ECJ). 2019;27(1):3–45. doi:10.1162/evco_a_00242
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2019 | Journal Article | LibreCat-ID: 46344
Carnein M, Trautmann H. Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Business and Information Systems Engineering (BISE). 2019;61(3):277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
Carnein M, Homann L, Trautmann H, Vossen G. A Recommender System Based on Omni-Channel Customer Data. In: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19). ; 2019:65–74.
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2019 | Conference Paper | LibreCat-ID: 46341
Carnein M, Trautmann H. Customer Segmentation Based on Transactional Data Using Stream Clustering. In: Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19). ; 2019:280–292.
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme C, Kerschke P, Emmerich MTM, Preuss M, Deutz AH, Trautmann H. Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. In: AIP Conference Proceedings. AIP Publishing; 2019:020052-1-020052-020054. doi:10.1063/1.5090019
LibreCat | DOI
 

2019 | Conference Paper | LibreCat-ID: 45388
Dröse J. Comprehending mathematical problem texts – Fostering subject-specific reading strategies for creating mental text representation. In: Jankvist UT, van den Heuvel-Panhuizen M, Veldhuis M, eds. Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education. Freudenthal Group & ERME; 2019.
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2019 | Conference Paper | LibreCat-ID: 45389
Dröse J. Mathematical and linguistic features of word problems in grade 4 and 5 German textbooks – A compara-tive corpus linguistic approach. In: Rezat S, Hattermann M, Schumacher J, Wuschke H, eds. Proceedings of the Third International Conference on Mathematics Textbook Research and Development . ; 2019:161-166.
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2019 | Conference Paper | LibreCat-ID: 29867
Faulwasser T, Flaßkamp K, Ober-Blöbaum S, Worthmann K. Towards velocity turnpikes in optimal control of mechanical systems. In: IFAC-PapersOnLine, ed. Vol 52(16). ; 2019:490-495.
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2019 | Conference Paper | LibreCat-ID: 15237 | OA
Gburrek T, Glarner T, Ebbers J, Haeb-Umbach R, Wagner P. Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. In: Proc. 10th ISCA Speech Synthesis Workshop. ; 2019:81-86. doi:10.21437/SSW.2019-15
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2019 | Conference Paper | LibreCat-ID: 15794 | OA
Ebbers J, Haeb-Umbach R. Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. In: DCASE2019 Workshop, New York, USA. ; 2019.
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2019 | Conference Paper | LibreCat-ID: 15796 | OA
Ebbers J, Drude L, Haeb-Umbach R, Brendel A, Kellermann W. Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. In: CAMSAP 2019, Guadeloupe, West Indies. ; 2019.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke P, Trautmann H. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In: Bauer N, Ickstadt K, Lübke K, Szepannek G, Trautmann H, Vichi M, eds. Applications in Statistical Computing. Springer; 2019:93–123. doi:10.1007/978-3-030-25147-5_7
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2019 | Book | LibreCat-ID: 46335
Trautmann H. Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Springer International Publishing; 2019.
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke P, Trautmann H. Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ). 2019;27(1):99–127. doi:10.1162/evco_a_00236
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