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10546 Publications


2019 | Journal Article | LibreCat-ID: 35583
Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. 2019;113. doi:10.1016/j.automatica.2019.108759
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2019 | Journal Article | LibreCat-ID: 35584
Ding K, Ren X, Quevedo DE, Dey S, Shi L. Defensive deception against reactive jamming attacks in remote state estimation. Automatica. 2019;113. doi:10.1016/j.automatica.2019.108680
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2019 | Journal Article | LibreCat-ID: 34829
Hanusch M. Differentiability of the evolution map and Mackey continuity. Forum Mathematicum. 2019;31(5):1139-1177. doi:10.1515/forum-2018-0310
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2019 | Conference Paper | LibreCat-ID: 13904 | OA
Blömer J, Bobolz J, Diemert DP, Eidens F. 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. doi:10.1145/3319535.3354223
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2019 | Journal Article | LibreCat-ID: 19450 | OA
Haeb-Umbach R. Lektionen für Alexa & Co?! DFG forschung 1/2019. Published online 2019:12-15. doi:10.1002/fors.201970104
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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
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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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