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6946 Publications
2019 | Journal Article | LibreCat-ID: 6512 | 
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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| Files available
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.
LibreCat
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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
LibreCat
| DOI
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.
LibreCat
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
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 11965 |
Drude, L., Heymann, J., & Haeb-Umbach, R. (2019). Unsupervised training of neural mask-based beamforming. In INTERSPEECH 2019, Graz, Austria.
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| Files available
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
LibreCat
| DOI
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
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 12870
Feldkord, B., Knollmann, T., Malatyali, M., & Meyer auf der Heide, F. (2019). Managing Multiple Mobile Resources. In Proceedings of the 17th Workshop on Approximation and Online Algorithms (WAOA) (pp. 120–137). Springer. https://doi.org/10.1007/978-3-030-39479-0_9
LibreCat
| DOI
| arXiv
2019 | Conference Paper | LibreCat-ID: 12874 |
Drude, L., Hasenklever, D., & Haeb-Umbach, R. (2019). Unsupervised Training of a Deep Clustering Model for Multichannel Blind Source Separation. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12875 |
Heymann, J., Drude, L., Haeb-Umbach, R., Kinoshita, K., & Nakatani, T. (2019). Joint Optimization of Neural Network-based WPE Dereverberation and Acoustic Model for Robust Online ASR. In ICASSP 2019, Brighton, UK.
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2019 | Conference Paper | LibreCat-ID: 12876 |
Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach, R., & Siegwart, R. Y. (2019). Directional Statistics and Filtering Using libDirectional. In Journal of Statistical Software 89(4).
LibreCat
| Files available
2019 | Journal Article | LibreCat-ID: 12890 |
Drude, L., & Haeb-Umbach, R. (2019). Integration of Neural Networks and Probabilistic Spatial Models for Acoustic Blind Source Separation. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/JSTSP.2019.2912565
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| Files available
| DOI
2019 | Journal Article | LibreCat-ID: 12908 |
Hammer, M., Ebers, L., & Förstner, J. (2019). Oblique quasi-lossless excitation of a thin silicon slab waveguide: a guided-wave variant of an anti-reflection coating. Journal of the Optical Society of America B, 36, 2395. https://doi.org/10.1364/josab.36.002395
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| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 12944
Götte, T., Hinnenthal, K., & Scheideler, C. (2019). Faster Construction of Overlay Networks. In Structural Information and Communication Complexity. Cham. https://doi.org/10.1007/978-3-030-24922-9_18
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 15391
Berendes, C. I. (2019). Towards Analyzing High Street Customer Trajectories - A Data-Driven Case Study. In Business Information Systems Workshops. Cham. https://doi.org/10.1007/978-3-030-36691-9_27
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 15488
Thiel, C., Steidl, C., & Henning, B. (2019). P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press. In AMA Service GmbH (Ed.), 20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019. Von-Münchhausen-Str. 49, 31515 Wunstorf. https://doi.org/10.5162/SENSOREN2019/P2.9
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 15492
Krause, D., Paschen, L., & Vogt, S. (2019). Zur Gestaltung von Feedbackprozeduren zum Erlernen der postoperativen Teilbelastung beim Gehen mit Unterarmgehstützen im Kontext der Bewegungsautomatisierung. B&G Bewegungstherapie und Gesundheitssport, 14–19. https://doi.org/10.1055/a-0818-7603
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 15741
Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. https://doi.org/10.1016/j.automatica.2019.108759
LibreCat
| Files available
| DOI
2019 | Conference Paper | LibreCat-ID: 15812 |
Heymann, J., & Khe Chai Sim, B. L. (2019). Improving CTC Using Stimulated Learning for Sequence Modeling. In ICASSP 2019, Brighton, UK.
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| Files available