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3435 Publications
2020 | Conference Paper | LibreCat-ID: 17371
Castenow J, Kling P, Knollmann T, Meyer auf der Heide F. A Discrete and Continuous Study of the Max-Chain-Formation Problem: Slow Down to Speed up. In: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures. ; 2020. doi:10.1145/3350755.3400263
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2020 | Conference Paper | LibreCat-ID: 17408
Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Hybrid Ranking and Regression for Algorithm Selection. In: KI 2020: Advances in Artificial Intelligence. ; 2020.
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2020 | Preprint | LibreCat-ID: 17605
Heid SH, Wever MD, Hüllermeier E. Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. Journal of Data Mining and Digital Humanities.
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2020 | Mastersthesis | LibreCat-ID: 15770
Warner D. On the Complexity of Local Transformations in SDN Overlays.; 2020.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the the Web Conference 2020. ; 2020:1309-1319.
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2020 | Conference Paper | LibreCat-ID: 15629
Wever MD, Tornede A, Mohr F, Hüllermeier E. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. In: Springer.
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2020 | Dissertation | LibreCat-ID: 15631
Feldkord B. Mobile Resource Allocation.; 2020. doi:10.17619/UNIPB/1-869
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2020 | Journal Article | LibreCat-ID: 16278
Nomikos N, Michailidis ET, Trakadas P, et al. A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices. Vehicular Communications. 2020. doi:10.1016/j.vehcom.2020.100250
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2020 | Journal Article | LibreCat-ID: 16280
Li F, Yu D, Yang H, Yu J, Karl H, Cheng X. Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless Communications. 2020:24-30. doi:10.1109/mwc.001.1900280
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff R, Wachsmuth H, Al-Khatib K, Stein B. Analyzing the Persuasive Effect of Style in News Editorial Argumentation. In: Tsujii J, Hajic J, eds. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. ; 2020:553-564.
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2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko A, Hagen M, Potthast M, et al. Touché: First Shared Task on Argument Retrieval. In: Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020). ; 2020:517-523.
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2020 | Journal Article | LibreCat-ID: 15605
Jovanovikj I, Yigitbas E, Sauer S, Engels G. Test Case Co-Migration Method Patterns. Software Engineering 2020 Workshopband. 2020.
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2020 | Journal Article | LibreCat-ID: 17358
Witschen LM, Wiersema T, Platzner M. Proof-carrying Approximate Circuits. IEEE Transactions On Very Large Scale Integration Systems. 2020:1-5. doi:10.1109/TVLSI.2020.3008061
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2020 | Conference Paper | LibreCat-ID: 16487
Bobolz J, Eidens F, Krenn S, Slamanig D, Striecks C. Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection. In: Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20),. New York, NY, USA: ACM; 2020. doi:10.1145/3320269.3384769
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2020 | Conference Paper | LibreCat-ID: 16968
Braun M, Castenow J, Meyer auf der Heide F. Local Gathering of Mobile Robots in Three Dimensions. In: Proceedings of the 27th Conference on Structural Information and Communication Complexity (SIROCCO). Springer; 2020. doi:10.1007/978-3-030-54921-3_4
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| arXiv
2020 | Conference Paper | LibreCat-ID: 13868
Pukrop S, Mäcker A, Meyer auf der Heide F. Approximating Weighted Completion Time for Order Scheduling with Setup Times. In: Proceedings of the 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM). ; 2020.
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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: 16363
Hansmeier T, Kaufmann P, Platzner M. Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold. In: GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, NY, United States: Association for Computing Machinery (ACM).
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2020 | Conference Paper | LibreCat-ID: 16724
Sharma A, Wehrheim H. Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models. In: Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM.
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