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9813 Publications


2016 | Conference Paper | LibreCat-ID: 11920 | OA
Walter, O., & Haeb-Umbach, R. (2016). Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models. In 38th German Conference on Pattern Recognition (GCPR 2016).
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2016 | Conference Paper | LibreCat-ID: 11975
Blobel, J., Sommer, C., & Dressler, F. (2016). Protocol options for low power sensor network MAC using wake-up receivers with duty cycling. In 2016 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/icc.2016.7511318
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2016 | Conference Paper | LibreCat-ID: 11988
Campolo, C., Sommer, C., Dressler, F., & Molinaro, A. (2016). On the impact of adjacent channel interference in multi-channel VANETs. In 2016 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/icc.2016.7511085
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2016 | Journal Article | LibreCat-ID: 11989
Campolo, C., Cheng, L., Sommer, C., & (Michael) Tsai, H.-M. (2016). Special Issue on Multi-radio, Multi-technology, Multi-system Vehicular Communications. Computer Communications, 1–2. https://doi.org/10.1016/j.comcom.2016.09.003
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2016 | Conference Paper | LibreCat-ID: 12011
Hagenauer, F., Sommer, C., Merschjohann, S., Higuchi, T., Dressler, F., & Altintas, O. (2016). Cars as the base for service discovery and provision in highly dynamic networks. In 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). https://doi.org/10.1109/infcomw.2016.7562101
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2016 | Conference Paper | LibreCat-ID: 12012
Hagenauer, F., Sommer, C., Onishi, R., Wilhelm, M., Dressler, F., & Altintas, O. (2016). Interconnecting smart cities by vehicles: How feasible is it? In 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). https://doi.org/10.1109/infcomw.2016.7562184
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2016 | Book Chapter | LibreCat-ID: 12013
Hagenauer, F., Dressler, F., Altintas, O., & Sommer, C. (2016). Cars as a main ICT resource of smart cities. In Smart Cities and Homes. https://doi.org/10.1016/b978-0-12-803454-5.00007-9
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2016 | Conference Paper | LibreCat-ID: 12029
Klingler, F., Dressler, F., & Sommer, C. (2016). IEEE 802.11p unicast considered harmful. In 2015 IEEE Vehicular Networking Conference (VNC). https://doi.org/10.1109/vnc.2015.7385550
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2016 | Conference Paper | LibreCat-ID: 12039
Memedi, A., Hagenauer, F., Dressler, F., & Sommer, C. (2016). Cluster-based transmit power control in heterogeneous vehicular networks. In 2015 IEEE Vehicular Networking Conference (VNC). https://doi.org/10.1109/vnc.2015.7385547
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2016 | Book (Editor) | LibreCat-ID: 12972
Lewis, P. R., Platzner, M., Rinner, B., Tørresen, J., & Yao, X. (Eds.). (2016). Self-aware Computing Systems: An Engineering Approach. Cham: Springer. https://doi.org/10.1007/978-3-319-39675-0
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2016 | Conference Paper | LibreCat-ID: 12975
Kampmann, M., & Hellebrand, S. (2016). X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test. In 25th IEEE Asian Test Symposium (ATS’16) (pp. 1–6). Hiroshima, Japan: IEEE. https://doi.org/10.1109/ats.2016.20
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2016 | Dissertation | LibreCat-ID: 154
Cord-Landwehr, A. (2016). Selfish Network Creation - On Variants of Network Creation Games (Vol. 353). Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn.
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2016 | Conference Paper | LibreCat-ID: 15400
Labreuche, C., Hüllermeier, E., Vojtas, P., & Fallah Tehrani, A. (2016). On the identifiability of models  in multi-criteria preference learning. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
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2016 | Conference Paper | LibreCat-ID: 15401
Schäfer, D., & Hüllermeier, E. (2016). Preference -based reinforcement learning using dyad ranking. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL`2016 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
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2016 | Conference Paper | LibreCat-ID: 15402
Couso, I., Ahmadi Fahandar, M., & Hüllermeier, E. (2016). Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. In R. Busa-Fekete, E. Hüllermeier, V. Mousseau, & K. Pfannschmidt (Eds.), in Proceedings DA2PL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany.
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2016 | Conference Paper | LibreCat-ID: 15403
Lu, S., & Hüllermeier, E. (2016). Support vector classification on noisy data using fuzzy superset losses. In E. Hüllermeier, F. Hoffmann, & R. Mikut (Eds.), in Proceedings 26th Workshop Computational Intelligence, Dortmund Germany (pp. 1–8). KIT Scientific Publishing.
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2016 | Conference Paper | LibreCat-ID: 15404
Schäfer, D., & Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In in Workshop LWDA “Lernen, Wissen, Daten, Analysen” Potsdam, Germany.
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2016 | Conference Paper | LibreCat-ID: 15435
Domik, G. (2016). A data visualization course at the university of paderborn. In Pedagogy Data Visualization, IEEE VIS Workshop. Baltimore.
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2016 | Conference Paper | LibreCat-ID: 155
Gmyr, R., Lefèvre, J., & Scheideler, C. (2016). Self-stabilizing Metric Graphs. In Proceedings of the 18th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS) (pp. 248--262). https://doi.org/10.1007/978-3-319-49259-9_20
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2016 | Conference Paper | LibreCat-ID: 157
König, J., Mäcker, A., Meyer auf der Heide, F., & Riechers, S. (2016). Scheduling with Interjob Communication on Parallel Processors. In Proceedings of the 10th Annual International Conference on Combinatorial Optimization and Applications (COCOA) (pp. 563--577). https://doi.org/10.1007/978-3-319-48749-6_41
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