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5719 Publications
2019 | Conference Paper | LibreCat-ID: 48842
Bossek, J., Kerschke, P., Neumann, A., Wagner, M., Neumann, F., & Trautmann, H. (2019). Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 58–71. https://doi.org/10.1145/3299904.3340307
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| DOI
2019 | Conference Paper | LibreCat-ID: 48843
Bossek, J., Neumann, F., Peng, P., & Sudholt, D. (2019). Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. Proceedings of the Genetic and Evolutionary Computation Conference, 1443–1451. https://doi.org/10.1145/3321707.3321792
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| DOI
2019 | Conference Paper | LibreCat-ID: 48840
Bossek, J., Grimme, C., & Neumann, F. (2019). On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. Proceedings of the Genetic and Evolutionary Computation Conference, 516–523. https://doi.org/10.1145/3321707.3321818
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| DOI
2019 | Conference Paper | LibreCat-ID: 48858
Bossek, J., & Grimme, C. (2019). Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 184–198). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_17
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48870
Bossek, J., & Sudholt, D. (2019). Time Complexity Analysis of RLS and (1 + 1) EA for the Edge Coloring Problem. Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 102–115. https://doi.org/10.1145/3299904.3340311
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48875
Bossek, J., & Trautmann, H. (2019). Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In R. Battiti, M. Brunato, I. Kotsireas, & P. M. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 215–219). Springer International Publishing. https://doi.org/10.1007/978-3-030-05348-2_19
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 48877
Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2
LibreCat
| DOI
2019 | Mastersthesis | LibreCat-ID: 52478
Mehta, J. D. (2019). Multithreaded Software/Hardware Programming with ReconOS/freeRTOS on a Reconfigurable System-on-Chip.
LibreCat
2018 | Conference Paper | LibreCat-ID: 2474
Afifi, H., Auroux, S., & Karl, H. (2018). MARVELO: Wireless Virtual Network Embedding for Overlay Graphs with Loops. Proc. of IEEE Wireless Communications and Networking Conference (WCNC).
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2018 | Conference Paper | LibreCat-ID: 2476
Shiferaw Heyi, B., & Karl, H. (2018). Modelling Time-Limited Capacity of a Wireless Channel as aMarkov Reward Process. Proc. of IEEE Wireless Communications and Networking Conference (WCNC).
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2018 | Conference Paper | LibreCat-ID: 2479 | 
Mohr, F., Wever, M. D., Hüllermeier, E., & Faez, A. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. In SCC. San Francisco, CA, USA: IEEE. https://doi.org/10.1109/SCC.2018.00039
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2018 | Conference Paper | LibreCat-ID: 2480 |
Dräxler, S., Peuster, M., Illian, M., & Karl, H. (2018). Generating Resource and Performance Models for Service Function Chains: The Video Streaming Case. In 4th IEEE International Conference on Network Softwarization (NetSoft 2018) (pp. 318--322). Montreal: IEEE. https://doi.org/10.1109/NETSOFT.2018.8460029
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2018 | Conference Paper | LibreCat-ID: 2481 |
Dräxler, S., Schneider, S. B., & Karl, H. (2018). Scaling and Placing Bidirectional Services with Stateful Virtual and Physical Network Functions. In 4th IEEE International Conference on Network Softwarization (NetSoft 2018) (pp. 123--131). Montreal: IEEE.
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2018 | Report | LibreCat-ID: 2483 |
Dräxler, S., Peuster, M., Illian, M., & Karl, H. (2018). Towards Predicting Resource Demands and Performance of Distributed Cloud Services. Wien, Darmstadt.
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2018 | Conference Paper | LibreCat-ID: 2484
Feldkord, B., Feldotto, M., Gupta, A., Guruganesh, G., Kumar, A., Riechers, S., & Wajc, D. (2018). Fully-Dynamic Bin Packing with Little Repacking. In I. Chatzigiannakis, C. Kaklamanis, D. Marx, & D. Sannella (Eds.), 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018) (Vol. 107, pp. 51:1-51:24). Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ICALP.2018.51
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| DOI
| arXiv
2018 | Conference Paper | LibreCat-ID: 2485
Feldkord, B., & Meyer auf der Heide, F. (2018). Online Facility Location with Mobile Facilities. In Proceedings of the 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) (pp. 373–381). Wien: ACM. https://doi.org/10.1145/3210377.3210389
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| DOI
2018 | Bachelorsthesis | LibreCat-ID: 25121
Liedtke, D. J. (2018). Influence of Stationary Robots on Continuous Robot Formation Problems.
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2018 | Preprint | LibreCat-ID: 19524
Pfannschmidt, K., Gupta, P., & Hüllermeier, E. (2018). Deep Architectures for Learning Context-dependent Ranking Functions. ArXiv:1803.05796.
LibreCat
2018 | Preprint | LibreCat-ID: 19978
Markarian, C. (2018). Online Connected Dominating Set Leasing. ArXiv:1805.02994.
LibreCat
2018 | Journal Article | LibreCat-ID: 20
Lass, M., Kühne, T., & Plessl, C. (2018). Using Approximate Computing for the Calculation of Inverse Matrix p-th Roots. Embedded Systems Letters, 10(2), 33–36. https://doi.org/10.1109/LES.2017.2760923
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| DOI
| arXiv