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10546 Publications
2019 | Journal Article | LibreCat-ID: 35583
Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108759.
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2019 | Journal Article | LibreCat-ID: 35584
Ding, Kemi, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, and Ling Shi. “Defensive Deception against Reactive Jamming Attacks in Remote State Estimation.” Automatica 113 (2019). https://doi.org/10.1016/j.automatica.2019.108680.
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2019 | Journal Article | LibreCat-ID: 34829
Hanusch, Maximilian. “Differentiability of the Evolution Map and Mackey Continuity.” Forum Mathematicum 31, no. 5 (2019): 1139–77. https://doi.org/10.1515/forum-2018-0310.
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2019 | Conference Paper | LibreCat-ID: 13904 | 
Blömer, Johannes, Jan Bobolz, Denis Pascal Diemert, and Fabian Eidens. “Updatable Anonymous Credentials and Applications to Incentive Systems.” In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19. Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19, 2019. https://doi.org/10.1145/3319535.3354223.
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2019 | Journal Article | LibreCat-ID: 19450 |
Haeb-Umbach, Reinhold. “Lektionen Für Alexa & Co?!” DFG Forschung 1/2019, 2019, 12–15. https://doi.org/10.1002/fors.201970104.
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” In Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. https://doi.org/10.1007/978-3-030-12598-1_11.
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke, Pascal, Holger H Hoos, Frank Neumann, and Heike Trautmann. “Automated Algorithm Selection: Survey and Perspectives.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 3–45. https://doi.org/10.1162/evco_a_00242.
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2019 | Journal Article | LibreCat-ID: 46344
Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” Business and Information Systems Engineering (BISE) 61, no. 3 (2019): 277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
Carnein, Matthias, Leschek Homann, Heike Trautmann, and Gottfried Vossen. “A Recommender System Based on Omni-Channel Customer Data.” In Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 65–74. Moscow, Russia, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46341
Carnein, Matthias, and Heike Trautmann. “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), 280–292. Macau, China, 2019.
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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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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.
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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.
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