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5948 Publications


2021 | Preprint | LibreCat-ID: 27778
M. Maack, F. Meyer auf der Heide, and S. Pukrop, “Full Version -- Server Cloud Scheduling,” arXiv:2108.02109. 2021.
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2021 | Newspaper Article | LibreCat-ID: 27058
C. Wiecher, J. Fischbach, J. Greenyer, A. Vogelsang, C. Wolff, and R. Dumitrescu, “Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal,” arXiv preprint, 2021.
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2021 | Book Chapter | LibreCat-ID: 29292 | OA
R. Feldhans et al., “Drift Detection in Text Data with Document Embeddings,” in Intelligent Data Engineering and Automated Learning – IDEAL 2021, Cham: Springer International Publishing, 2021.
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2021 | Conference Paper | LibreCat-ID: 29287 | OA
C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.
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2021 | Conference Paper | LibreCat-ID: 29294 | OA
T. Nickchen, S. Heindorf, and G. Engels, “Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts,” 2021, doi: 10.1109/wacv48630.2021.00204.
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2021 | Conference Paper | LibreCat-ID: 26407
G. Piskachev, R. Krishnamurthy, and E. Bodden, “SecuCheck: Engineering configurable taint analysis for software developers,” 2021.
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2021 | Conference Paper | LibreCat-ID: 22463
L. Luo, M. Schäf, D. Sanchez, and E. Bodden, “IDE Support for Cloud-Based Static Analyses,” 2021.
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2021 | Conference Paper | LibreCat-ID: 33840
K. Karakaya and E. Bodden, “SootFX: A Static Code Feature Extraction Tool for Java and Android,” in 2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM), 2021, pp. 181–186.
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2021 | Bachelorsthesis | LibreCat-ID: 32401
J. N. Siemer, Lattice reductions and their applications to cryptographic systems. 2021.
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2021 | Mastersthesis | LibreCat-ID: 32400
A. Anonymous, Performance Analysis of FHE Libraries. 2021.
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2021 | Working Paper | LibreCat-ID: 35889 | OA
S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.
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2021 | Journal Article | LibreCat-ID: 46318
C. Grimme et al., “Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization,” Computers & Operations Research, vol. 136, p. 105489, 2021, doi: https://doi.org/10.1016/j.cor.2021.105489.
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2021 | Conference Paper | LibreCat-ID: 46311
P. Aspar, P. Kerschke, V. Steinhoff, H. Trautmann, and C. Grimme, “Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization,” in Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, 2021, pp. 311–322, doi: 10.1007/978-3-030-72062-9_25.
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2021 | Journal Article | LibreCat-ID: 46317
C. Coombs et al., “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective,” International Journal of Information Management, vol. 58, 2021, doi: 10.1016/j.ijinfomgt.2021.102311.
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2021 | Conference Paper | LibreCat-ID: 21272
P. Ködding and R. Dumitrescu, “Forschungsfelder für Künstliche Intelligenz in der strategischen Produktplanung,” in Digitalisisierung souverän gestalten, 2021, pp. 59–73.
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2021 | Conference Paper | LibreCat-ID: 48286
I. Habernal, “When differential privacy meets NLP: The devil is in the detail,” 2021, doi: 10.18653/v1/2021.emnlp-main.114.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021, doi: 10.1109/tcds.2020.3044366.
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2021 | Conference Paper | LibreCat-ID: 48853
J. Bossek, A. Neumann, and F. Neumann, “Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2021, pp. 556–564, doi: 10.1145/3449639.3459364.
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2021 | Conference Paper | LibreCat-ID: 48855
J. Bossek, A. Neumann, and F. Neumann, “Exact Counting and~Sampling of Optima for the Knapsack Problem,” in Learning and Intelligent Optimization, 2021, pp. 40–54, doi: 10.1007/978-3-030-92121-7_4.
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2021 | Conference Paper | LibreCat-ID: 48860
J. Bossek and F. Neumann, “Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2021, pp. 198–206, doi: 10.1145/3449639.3459363.
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