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9820 Publications


2019 | Journal Article | LibreCat-ID: 34915
Kirschmer, M. (2019). Determinant groups of Hermitian lattices over local fields. Archiv Der Mathematik, 113(4), 337–347. https://doi.org/10.1007/s00013-019-01348-z
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2019 | Journal Article | LibreCat-ID: 21519
Grabo, M., Weber, D., Paul, A., Klaus, T., Bermpohl, W., Krauter, S., & Kenig, E. (2019). Numerical Investigation of the Temperature Distribution in PCM-integrated Solar Modules. CHEMICAL ENGINEERING TRANSACTIONS, 76, 895–900. https://doi.org/10.3303/CET1976150
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2019 | Conference Paper | LibreCat-ID: 21521
Grabo, M., Weber, D., Paul, A., Klaus, T., Bermpohl, W., & Kenig, E. (2019). Numerische Untersuchung der Temperaturverteilung in PCM-integrierten Solarmodulen. Jahrestreffen der ProcessNet-Fachgruppe Energieverfahrenstechnik und des Arbeitsausschusses Thermische Energiespeicherung, Frankfurt am Main.
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2019 | Conference Paper | LibreCat-ID: 21520
Grabo, M., Weber, D., Paul, A., Klaus, T., Bermpohl, W., Krauter, S., & Kenig, E. (2019). Entwicklung eines thermischen 1D-Simulationsmodells zur Bestimmung der Temperaturverteilung in Solarmodulen. 2. Regenerative Energietechnik Konferenz (RET.Con 2019), Nordhausen.
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2019 | Conference Paper | LibreCat-ID: 9913 | OA
Ahmed, Q. A., Wiersema, T., & Platzner, M. (2019). Proof-Carrying Hardware Versus the Stealthy Malicious LUT Hardware Trojan. In C. Hochberger, B. Nelson, A. Koch, R. Woods, & P. Diniz (Eds.), Applied Reconfigurable Computing (Vol. 11444, pp. 127–136). Springer International Publishing. https://doi.org/10.1007/978-3-030-17227-5_10
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2019 | Bachelorsthesis | LibreCat-ID: 45231
N., N. (2019). Conception of a digital Sales Bonus System based on Blockchain Technology.
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2019 | Book | LibreCat-ID: 45387
Dröse, J. (2019). Textaufgaben lesen und verstehen lernen – Entwicklungsforschungsstudie zur mathematikspezifischen Leseverständnisförderung. Springer Spektrum.
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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.
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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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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 | OA
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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2019 | Conference Paper | LibreCat-ID: 36542 | OA
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.
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2019 | Mastersthesis | LibreCat-ID: 15874 | OA
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
LibreCat | DOI | arXiv
 

2019 | Journal Article | LibreCat-ID: 12871 | OA
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: 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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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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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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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
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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.
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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.
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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.
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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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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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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.
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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).
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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).
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2019 | Conference Paper | LibreCat-ID: 15237 | OA
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 | OA
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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2019 | Conference Paper | LibreCat-ID: 15796 | OA
Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke, P., & Trautmann, H. (2019). Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, & M. Vichi (Eds.), Applications in Statistical Computing (pp. 93–123). Springer. https://doi.org/10.1007/978-3-030-25147-5_7
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2019 | Book | LibreCat-ID: 46335
Trautmann, H. (2019). Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Springer International Publishing.
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke, P., & Trautmann, H. (2019). Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ), 27(1), 99–127. https://doi.org/10.1162/evco_a_00236
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A., Trautmann, H., & Emmerich, M. (2019). Search Dynamics on Multimodal Multi-Objective Problems. Evolutionary Computation (ECJ), 27(4), 577–609. https://doi.org/10.1162/evco_a_00234
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2019 | Book Chapter | LibreCat-ID: 48501
Balluff, S., Bendfeld, J., & Krauter, S. (2019). Meteorological Data Forecast using RNN. In Deep Learning and Neural Networks. IGI Global. https://doi.org/10.4018/978-1-7998-0414-7.ch050
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2019 | Conference Paper | LibreCat-ID: 45391
Delucchi, R., Neugebauer, P., Dröse, J., Prediger, S., & Mertins, B. (2019). Eye-Tracking-Studie zum Erfassen von Referenzstrukturen in Textaufgaben der Klasse 5. In A. Frank, S. Krauss, & K. Binder (Eds.), Beiträge zum Mathematikunterricht 2019 (pp. 1239–1242). WTM.
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2019 | Journal Article | LibreCat-ID: 16708
Ziessler, A., Dellnitz, M., & Gerlach, R. (2019). The Numerical Computation of Unstable Manifolds for Infinite Dimensional Dynamical Systems by Embedding Techniques. SIAM Journal on Applied Dynamical Systems, 18(3), 1265–1292. https://doi.org/10.1137/18m1204395
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2019 | Conference Paper | LibreCat-ID: 15792 | OA
Nelus, A., Ebbers, J., Haeb-Umbach, R., & Martin, R. (2019). Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. INTERSPEECH 2019, Graz, Austria.
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2019 | Journal Article | LibreCat-ID: 34917
Kirschmer, M., & Nebe, G. (2019). Quaternary quadratic lattices over number fields. International Journal of Number Theory, 15(02), 309–325. https://doi.org/10.1142/s1793042119500131
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2019 | Journal Article | LibreCat-ID: 34916
Kirschmer, M. (2019). Automorphisms of even unimodular lattices over number fields. Journal of Number Theory, 197, 121–134. https://doi.org/10.1016/j.jnt.2018.08.004
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2019 | Conference Paper | LibreCat-ID: 48841
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. A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, & P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO) (pp. 516–528). Springer International Publishing. https://doi.org/10.1007/978-3-030-12598-1_41
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2019 | Conference Paper | LibreCat-ID: 48842
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. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 58–71. https://doi.org/10.1145/3299904.3340307
LibreCat | DOI
 

2019 | Conference Paper | LibreCat-ID: 48843
Bossek, J., Neumann, F., Peng, P., & Sudholt, D. (2019). Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. Proceedings of the Genetic and Evolutionary Computation Conference, 1443–1451. https://doi.org/10.1145/3321707.3321792
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2019 | Conference Paper | LibreCat-ID: 48840
Bossek, J., Grimme, C., & Neumann, F. (2019). On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. Proceedings of the Genetic and Evolutionary Computation Conference, 516–523. https://doi.org/10.1145/3321707.3321818
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2019 | Conference Paper | LibreCat-ID: 48858
Bossek, J., & Grimme, C. (2019). Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 184–198). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_17
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2019 | Conference Paper | LibreCat-ID: 48870
Bossek, J., & Sudholt, D. (2019). Time Complexity Analysis of RLS and (1 + 1) EA for the Edge Coloring Problem. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 102–115. https://doi.org/10.1145/3299904.3340311
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 215–219). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_19
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2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2
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