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9746 Publications


2019 | Book | LibreCat-ID: 46335
Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement
H. Trautmann, 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 LibreCat | DOI
 

2019 | Journal Article | LibreCat-ID: 46347
Search Dynamics on Multimodal Multi-Objective Problems
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann, M. Emmerich, Evolutionary Computation (ECJ) 27 (2019) 577–609.
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2019 | Book Chapter | LibreCat-ID: 48501
Meteorological Data Forecast using RNN
S. Balluff, J. Bendfeld, S. Krauter, in: Deep Learning and Neural Networks, IGI Global, 2019.
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2019 | Conference Paper | LibreCat-ID: 45391
Eye-Tracking-Studie zum Erfassen von Referenzstrukturen in Textaufgaben der Klasse 5
R. Delucchi, P. Neugebauer, J. Dröse, S. Prediger, B. Mertins, in: A. Frank, S. Krauss, K. Binder (Eds.), Beiträge zum Mathematikunterricht 2019 , WTM, Münster, 2019, pp. 1239–1242.
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2019 | Journal Article | LibreCat-ID: 16708
The Numerical Computation of Unstable Manifolds for Infinite Dimensional Dynamical Systems by Embedding Techniques
A. Ziessler, M. Dellnitz, R. Gerlach, SIAM Journal on Applied Dynamical Systems 18 (2019) 1265–1292.
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2019 | Conference Paper | LibreCat-ID: 15792 | OA
Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification
A. Nelus, J. Ebbers, R. Haeb-Umbach, R. Martin, in: INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Journal Article | LibreCat-ID: 34917
Quaternary quadratic lattices over number fields
M. Kirschmer, G. Nebe, International Journal of Number Theory 15 (2019) 309–325.
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2019 | Journal Article | LibreCat-ID: 34916
Automorphisms of even unimodular lattices over number fields
M. Kirschmer, Journal of Number Theory 197 (2019) 121–134.
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2019 | Conference Paper | LibreCat-ID: 48841
Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, H. Trautmann, in: K. Deb, E. Goodman, C.A. Coello Coello, K. Klamroth, K. Miettinen, S. Mostaghim, P. Reed (Eds.), Evolutionary Multi-Criterion Optimization (EMO), Springer International Publishing, Cham, 2019, pp. 516–528.
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