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3435 Publications
2020 | Conference Paper | LibreCat-ID: 17371
Castenow, Jannik, et al. “A Discrete and Continuous Study of the Max-Chain-Formation Problem: Slow Down to Speed Up.” 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, Jonas Manuel, et al. “Hybrid Ranking and Regression for Algorithm Selection.” KI 2020: Advances in Artificial Intelligence, 2020.
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2020 | Preprint | LibreCat-ID: 17605
Heid, Stefan Helmut, et al. “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” Journal of Data Mining and Digital Humanities, episciences.
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2020 | Mastersthesis | LibreCat-ID: 15770
Warner, Daniel. On the Complexity of Local Transformations in SDN Overlays. 2020.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the the Web Conference 2020, 2020, pp. 1309–19.
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2020 | Conference Paper | LibreCat-ID: 15629
Wever, Marcel Dominik, et al. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. Springer.
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2020 | Dissertation | LibreCat-ID: 15631
Feldkord, Björn. Mobile Resource Allocation. 2020, doi:10.17619/UNIPB/1-869.
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2020 | Journal Article | LibreCat-ID: 16278
Nomikos, Nikolaos, et al. “A UAV-Based Moving 5G RAN for Massive Connectivity of Mobile Users and IoT Devices.” Vehicular Communications, 100250, 2020, doi:10.1016/j.vehcom.2020.100250.
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2020 | Journal Article | LibreCat-ID: 16280
Li, Feng, et al. “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey.” IEEE Wireless Communications, 2020, pp. 24–30, doi:10.1109/mwc.001.1900280.
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2020 | Conference Paper | LibreCat-ID: 3878
El Baff, Roxanne, et al. “Analyzing the Persuasive Effect of Style in News Editorial Argumentation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics, edited by Junichi Tsujii and Jan Hajic, 2020, pp. 553–64.
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2020 | Conference Paper | LibreCat-ID: 15821
Bondarenko, Alexander, et al. “Touché: First Shared Task on Argument Retrieval.” Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), 2020, pp. 517–23.
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2020 | Journal Article | LibreCat-ID: 15605
Jovanovikj, Ivan, et al. “Test Case Co-Migration Method Patterns.” Software Engineering 2020 Workshopband, 2020.
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2020 | Journal Article | LibreCat-ID: 17358
Witschen, Linus Matthias, et al. “Proof-Carrying Approximate Circuits.” IEEE Transactions On Very Large Scale Integration Systems, IEEE, 2020, pp. 1–5, doi:10.1109/TVLSI.2020.3008061.
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2020 | Conference Paper | LibreCat-ID: 16487
Bobolz, Jan, et al. “Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection.” Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20), ACM, 2020, doi:10.1145/3320269.3384769.
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2020 | Conference Paper | LibreCat-ID: 16968
Braun, Michael, et al. “Local Gathering of Mobile Robots in Three Dimensions.” 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, Simon, et al. “Approximating Weighted Completion Time for Order Scheduling with Setup Times.” 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, Varadarajan, et al. “Accurate Sampling with Noisy Forces from Approximate Computing.” Computation, vol. 8, no. 2, 39, MDPI, 2020, doi:10.3390/computation8020039.
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| arXiv
2020 | Conference Paper | LibreCat-ID: 16363
Hansmeier, Tim, et al. “Enabling XCSF to Cope with Dynamic Environments via an Adaptive Error Threshold.” GECCO ’20: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery (ACM).
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2020 | Conference Paper | LibreCat-ID: 16724
Sharma, Arnab, and Heike Wehrheim. “Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models.” Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)., ACM.
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