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7281 Publications


2019 | Journal Article | LibreCat-ID: 8424 | OA
Bäumer, F. S., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022
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2019 | Conference Abstract | LibreCat-ID: 8529 | OA
Seemann, N., & Merten, M.-L. (2019). UPB-Annotate: Ein maßgeschneidertes Toolkit für historische Texte. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 352–353). Frankfurt am Main, Germany: Zenodo. https://doi.org/10.5281/ZENODO.2596094
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2019 | Conference Abstract | LibreCat-ID: 8532 | OA
Bäumer, F. S., Buff, B., & Geierhos, M. (2019). Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 192–193). Frankfurt am Main, Germany: Zenodo. https://doi.org/10.5281/zenodo.2596095
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2019 | Conference Paper | LibreCat-ID: 8534
Feldmann, M., & Scheideler, C. (2019). Skeap & Seap: Scalable Distributed Priority Queues for Constant and Arbitrary Priorities. In Proceedings of the 31st ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) (pp. 287--296). ACM. https://doi.org/10.1145/3323165.3323193
LibreCat | Files available | DOI | arXiv
 

2019 | Journal Article | LibreCat-ID: 8667
Sprenger, A., & Hellebrand, S. (2019). Divide and Compact - Stochastic Space Compaction for Faster-than-At-Speed Test. Journal of Circuits, Systems and Computers, 28(1), 1–23. https://doi.org/10.1142/s0218126619400012
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2019 | Conference Paper | LibreCat-ID: 8833
Jovanovikj, I., Yigitbas, E., Gerth, C., Sauer, S., & Engels, G. (2019). Detection and Resolution of Data-Flow Differences in Business Process Models. In C. Cappiello & M. Ruiz (Eds.), Information Systems Engineering in Responsible Information Systems - CAiSE Forum 2019, Rome, Italy, June 3-7, 2019, Proceedings (Vol. 350, pp. 145–157). Rome.
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2019 | Conference Abstract | LibreCat-ID: 8868
Wever, M. D., Mohr, F., Hüllermeier, E., & Hetzer, A. (2019). Towards Automated Machine Learning for Multi-Label Classification. Presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany.
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2019 | Conference Paper | LibreCat-ID: 8871
Augustine, J., Ghaffari, M., Gmyr, R., Hinnenthal, K., Kuhn, F., Li, J., & Scheideler, C. (2019). Distributed Computation in Node-Capacitated Networks. In Proceedings of the 31st ACM Symposium on Parallelism in Algorithms and Architectures (pp. 69--79). ACM. https://doi.org/10.1145/3323165.3323195
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2019 | Journal Article | LibreCat-ID: 8872
Stankevich, D., Hradyska, L., Shkuratov, Y., Grynko, Y., Videen, G., & Förstner, J. (2019). Light scattering by 3-Foci convex and concave particles in the geometrical optics approximation. Journal of Quantitative Spectroscopy and Radiative Transfer, 231, 49. https://doi.org/10.1016/j.jqsrt.2019.04.016
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2019 | Book Chapter | LibreCat-ID: 9599
Daymude, J. J., Hinnenthal, K., Richa, A. W., & Scheideler, C. (2019). Computing by Programmable Particles. In Distributed Computing by Mobile Entities, Current Research in Moving and Computing. (pp. 615–681). Springer, Cham. https://doi.org/10.1007/978-3-030-11072-7_22
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2019 | Conference Paper | LibreCat-ID: 9718
Johannesmann, S., Webersen, M., Düchting, J., Claes, L., & Henning, B. (2019). Characterization of the linear-acoustic material behavior of fiber-reinforced composites using lamb waves. In 45th Annual Review of Progress in Quantitative Nondestructive Evaluation (Vol. 38). Burlington. https://doi.org/10.1063/1.5099742
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2019 | Journal Article | LibreCat-ID: 6512 | OA
Rauchecker, G., & Schryen, G. (2019). Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm. Computers & Operations Research, (104), 338–357.
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2019 | Conference Paper | LibreCat-ID: 6976
Götte, T., Vijayalakshmi, V. R., & Scheideler, C. (n.d.). Always be Two Steps Ahead of Your Enemy - Maintaining a Routable Overlay under Massive Churn with an Almost Up-to-date Adversary. In Proceedings of the 2019 IEEE 33rd International Parallel  and Distributed Processing Symposium (IPDPS ’19). Rio de Janeiro, Brazil: IEEE.
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2019 | Book Chapter | LibreCat-ID: 16443
Rehlaender, P., Schroeer, M., Chadha, G., & Schwung, A. (2019). Traffic Sign Detection Using R-CNN. In Proceedings of the International Neural Networks Society. Cham. https://doi.org/10.1007/978-3-030-16841-4_24
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2019 | Conference Paper | LibreCat-ID: 16793
Pfeifer, F., Dietrich, A., Marten, T., Tröster, T., & Nacke, B. (2019). Investigation on Inductive Heating of Sheet Metal for an Industrial Hot Stamping Process. In Proceedings of 7th International Conference on Hot Sheet Metal Forming of High-Performance Steel (pp. 585–593). Luleå.
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2019 | Conference Paper | LibreCat-ID: 10586
Scheideler, C., & Setzer, A. (2019). On the Complexity of Local Graph Transformations. In Proceedings of the 46th International Colloquium on Automata, Languages, and Programming (Vol. 132, pp. 150:1--150:14). Patras, Greece: Dagstuhl Publishing. https://doi.org/10.4230/LIPICS.ICALP.2019.150
LibreCat | Files available | DOI
 

2019 | Book Chapter | LibreCat-ID: 11952
Senft, B., Rittmeier, F., Fischer, H. G., & Oberthür, S. (2019). A Value-Centered Approach for Unique and Novel Software Applications. In Design, User Experience, and Usability. Practice and Case Studies. Cham. https://doi.org/10.1007/978-3-030-23535-2_27
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2019 | Conference Paper | LibreCat-ID: 11965 | OA
Drude, L., Heymann, J., & Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
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2019 | Book Chapter | LibreCat-ID: 12043
Reinold, P., Meyer, N., Buse, D., Klingler, F., Sommer, C., Dressler, F., … Andert, J. (2019). Verkehrssimulation im Hardware-in-the-Loop-Steuergerätetest. In Proceedings. Wiesbaden. https://doi.org/10.1007/978-3-658-25294-6_15
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2019 | Book Chapter | LibreCat-ID: 12072
Sommer, C., Eckhoff, D., Brummer, A., Buse, D. S., Hagenauer, F., Joerer, S., & Segata, M. (2019). Veins: The Open Source Vehicular Network Simulation Framework. In Recent Advances in Network Simulation. Cham. https://doi.org/10.1007/978-3-030-12842-5_6
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