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5786 Publications
2020 | Mastersthesis | LibreCat-ID: 21433
Jentzsch FP. Design and Implementation of a ReconOS-Based TensorFlow Lite Delegate Architecture.; 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 16277 | 
Kühne T, Iannuzzi M, Ben MD, et al. CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. The Journal of Chemical Physics. 2020;152(19). doi:10.1063/5.0007045
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| arXiv
2020 | Conference Paper | LibreCat-ID: 16898
Lass M, Schade R, Kühne T, Plessl C. A Submatrix-Based Method for Approximate Matrix Function Evaluation in the Quantum Chemistry Code CP2K. In: Proc. International Conference for High Performance Computing, Networking, Storage and Analysis (SC). IEEE Computer Society; 2020:1127-1140. doi:10.1109/SC41405.2020.00084
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| arXiv
2020 | Book Chapter | LibreCat-ID: 29042
Röder M, Sherif M, Saleem M, Conrads F, Ngonga Ngomo A-C. Benchmarking the Lifecycle of Knowledge Graphs. In: Tiddi I, Lécué F, Hitzler P, eds. Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges. IOS Press; 2020:73-97. doi:10.3233/SSW200012
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2020 | Conference Paper | LibreCat-ID: 21632
Meyer M, Kenter T, Plessl C. Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite. In: 2020 IEEE/ACM International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC). ; 2020. doi:10.1109/h2rc51942.2020.00007
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2020 | Journal Article | LibreCat-ID: 12878 |
Rengaraj V, Lass M, Plessl C, Kühne T. Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 2020;8(2). doi:10.3390/computation8020039
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| arXiv
2020 | Conference Paper | LibreCat-ID: 13226 |
Gharibian S, Piddock S, Yirka J. Oracle complexity classes and local measurements on physical Hamiltonians. In: Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020). ; 2020:38.
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| arXiv
2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher D, Adam L, Trautmann H, Grimme C. Towards Real-Time and Unsupervised Campaign Detection in Social Media. In: Proceedings of the Florida Artificial Intelligence Research Society Conference. ; 2020.
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2020 | Conference Paper | LibreCat-ID: 46328
Prager RP, Trautmann H, Wang H, Bäck THW, Kerschke P. Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:996–1003. doi:10.1109/SSCI47803.2020.9308510
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2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher D, Clever L, Pohl J, Trautmann H, Grimme C. A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In: Meiselwitz G, ed. Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. Springer International Publishing; 2020:201–214. doi:10.1007/978-3-030-49570-1_14
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2020 | Conference Paper | LibreCat-ID: 46325
Carnein M, Trautmann H, Bifet A, Pfahringer B. Towards Automated Configuration of Stream Clustering Algorithms. In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19). ; 2020:137–143. doi:10.1007/978-3-030-43823-4_12
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2020 | Conference Paper | LibreCat-ID: 46321
Assenmacher D, Frischlich L, Trautmann H, Grimme C, Adam L. Inside the tool set of automation: Free social bot code revisited. In: Grimme C, Preuß M, Takes F, Waldherr A, eds. Disinformation in Open Online Media. Lecture Notes in Computer Science. Springer; 2020:101–114.
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein M, Trautmann H, Bifet A, Pfahringer B. confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. In: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020). ; 2020:80–95. doi:10.1007/978-3-030-53552-0_10
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2020 | Conference Paper | LibreCat-ID: 46327
Lena C, Frischlich L, Trautmann H, Grimme C. Automated detection of nostalgic text in the context of societal pessimism. In: Grimme C, Preuß M, Takes F, Waldherr A, eds. Disinformation in Open Online Media. ; 2020:48–58.
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2020 | Conference Paper | LibreCat-ID: 46329
Riehle DM, Niemann M, Brunk J, Assenmacher D, Trautmann H, Becker J. Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In: Meiselwitz G, ed. Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. Springer International Publishing; 2020:71–86.
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2020 | Journal Article | LibreCat-ID: 46333
Assenmacher D, Clever L, Frischlich L, Quandt T, Trautmann H, Grimme C. Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. Social Media + Society. 2020;6(3):2056305120939264. doi:10.1177/2056305120939264
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2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff V, Kerschke P, Aspar P, Trautmann H, Grimme C. Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:2445–2452. doi:10.1109/SSCI47803.2020.9308259
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| DOI
2020 | Conference Paper | LibreCat-ID: 48301
Glockner M, Habernal I, Gurevych I. Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. In: Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics; 2020. doi:10.18653/v1/2020.findings-emnlp.97
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2020 | Conference Paper | LibreCat-ID: 16790
Krings SC, Yigitbas E, Jovanovikj I, Sauer S, Engels G. Development Framework for Context-Aware Augmented Reality Applications. In: Proceedings of the 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2020). ; 2020. doi:10.1145/3393672.3398640
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| DOI
2020 | Conference Paper | LibreCat-ID: 48847
Bossek J, Neumann F, Peng P, Sudholt D. More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’20. Association for Computing Machinery; 2020:1277–1285. doi:10.1145/3377930.3390174
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