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10546 Publications
2019 | Conference Paper | LibreCat-ID: 46342
Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss, André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” In AIP Conference Proceedings, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing, 2019. https://doi.org/10.1063/1.5090019.
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| DOI
2019 | Conference Paper | LibreCat-ID: 45388
Dröse, Jennifer. “Comprehending Mathematical Problem Texts – Fostering Subject-Specific Reading Strategies for Creating Mental Text Representation.” In Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education, edited by U. T. Jankvist, M. van den Heuvel-Panhuizen, and M. Veldhuis. Utrecht: Freudenthal Group & ERME, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 45389
Dröse, Jennifer. “Mathematical and Linguistic Features of Word Problems in Grade 4 and 5 German Textbooks – A Compara-Tive Corpus Linguistic Approach.” In Proceedings of the Third International Conference on Mathematics Textbook Research and Development , edited by S. Rezat, M. Hattermann, J. Schumacher, and H. Wuschke, 161–66. Paderborn, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 29867
Faulwasser, Tim, K. Flaßkamp, Sina Ober-Blöbaum, and Karl Worthmann. “Towards Velocity Turnpikes in Optimal Control of Mechanical Systems.” edited by IFAC-PapersOnLine, 52(16):490–95, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 15237 | 
Gburrek, Tobias, Thomas Glarner, Janek Ebbers, Reinhold Haeb-Umbach, and Petra Wagner. “Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion.” In Proc. 10th ISCA Speech Synthesis Workshop, 81–86, 2019. https://doi.org/10.21437/SSW.2019-15.
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2019 | Conference Paper | LibreCat-ID: 15794 |
Ebbers, Janek, and Reinhold Haeb-Umbach. “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 |
Ebbers, Janek, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, and Walter Kellermann. “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, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” In Applications in Statistical Computing, edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, and Maurizio Vichi, 93–123. Springer, 2019. https://doi.org/10.1007/978-3-030-25147-5_7.
LibreCat
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2019 | Book | LibreCat-ID: 46335
Trautmann, Heike. Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2019.
LibreCat
2019 | Journal Article | LibreCat-ID: 46346
Kerschke, Pascal, and Heike Trautmann. “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 99–127. https://doi.org/10.1162/evco_a_00236.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 46347
Kerschke, Pascal, Hao Wang, Mike Preuss, Christian Grimme, André Deutz, Heike Trautmann, and Michael Emmerich. “Search Dynamics on Multimodal Multi-Objective Problems.” Evolutionary Computation (ECJ) 27, no. 4 (2019): 577–609. https://doi.org/10.1162/evco_a_00234.
LibreCat
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2019 | Book Chapter | LibreCat-ID: 48501
Balluff, Stefan, Jörg Bendfeld, and Stefan Krauter. “Meteorological Data Forecast Using RNN.” In Deep Learning and Neural Networks. IGI Global, 2019. https://doi.org/10.4018/978-1-7998-0414-7.ch050.
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2019 | Conference Paper | LibreCat-ID: 45391
Delucchi, R., P. Neugebauer, Jennifer Dröse, Susanne Prediger, and B. Mertins. “Eye-Tracking-Studie zum Erfassen von Referenzstrukturen in Textaufgaben der Klasse 5.” In Beiträge zum Mathematikunterricht 2019 , edited by A. Frank, S. Krauss, and K. Binder, 1239–42. Münster: WTM, 2019.
LibreCat
2019 | Journal Article | LibreCat-ID: 16708
Ziessler, Adrian, Michael Dellnitz, and Raphael Gerlach. “The Numerical Computation of Unstable Manifolds for Infinite Dimensional Dynamical Systems by Embedding Techniques.” SIAM Journal on Applied Dynamical Systems 18, no. 3 (2019): 1265–92. https://doi.org/10.1137/18m1204395.
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2019 | Conference Paper | LibreCat-ID: 15792 |
Nelus, Alexandru, Janek Ebbers, Reinhold Haeb-Umbach, and Rainer Martin. “Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification.” In INTERSPEECH 2019, Graz, Austria, 2019.
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2019 | Journal Article | LibreCat-ID: 34917
Kirschmer, Markus, and Gabriele Nebe. “Quaternary Quadratic Lattices over Number Fields.” International Journal of Number Theory 15, no. 02 (2019): 309–25. https://doi.org/10.1142/s1793042119500131.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 34916
Kirschmer, Markus. “Automorphisms of Even Unimodular Lattices over Number Fields.” Journal of Number Theory 197 (2019): 121–34. https://doi.org/10.1016/j.jnt.2018.08.004.
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2019 | Conference Paper | LibreCat-ID: 48841
Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.” In Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 516–528. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-12598-1_41.
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2019 | Conference Paper | LibreCat-ID: 48842
Bossek, Jakob, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, and Heike Trautmann. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.” In Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 58–71. FOGA ’19. New York, NY, USA: Association for Computing Machinery, 2019. https://doi.org/10.1145/3299904.3340307.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48843
Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring.” In Proceedings of the Genetic and Evolutionary Computation Conference, 1443–1451. GECCO ’19. New York, NY, USA: Association for Computing Machinery, 2019. https://doi.org/10.1145/3321707.3321792.
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