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17342 Publications
2020 | Conference Paper | LibreCat-ID: 20753 | 
J. Ebbers and R. Haeb-Umbach, “Forward-Backward Convolutional Recurrent Neural Networks and Tag-Conditioned Convolutional Neural Networks for Weakly Labeled Semi-Supervised Sound Event Detection,” 2020.
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2020 | Conference Paper | LibreCat-ID: 24247
E. Moritzer and J. Hillemeyer, “Material Specific Predicting of the Optimal Joining Parameters for the Screw Blind Rivet Joining Process,” presented at the 73rd Annual Assembly of International Institute of Welding (IIW) and International Conference, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 16790
S. C. Krings, E. Yigitbas, I. Jovanovikj, S. Sauer, and G. Engels, “Development Framework for Context-Aware Augmented Reality Applications,” 2020, doi: 10.1145/3393672.3398640.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 49544
R. Meyer zu Hörste-Bührer, “Digitale antike Ethik – Gründung des „Journals of Ethics in Antiquity and Christianity (JEAC)“,” Zeitschrift für Evangelische Ethik 64/1 , pp. 60–65, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 48847
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1277–1285, doi: 10.1145/3377930.3390174.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48849
J. Bossek, C. Doerr, P. Kerschke, A. Neumann, and F. Neumann, “Evolving Sampling Strategies for One-Shot Optimization Tasks,” in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 111–124, doi: 10.1007/978-3-030-58112-1_8.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48851
J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1286–1294, doi: 10.1145/3377930.3390243.
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2020 | Conference Paper | LibreCat-ID: 48845
J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 166–174, doi: 10.1145/3377930.3390146.
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| DOI
2020 | Conference Paper | LibreCat-ID: 48844
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185613.
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2020 | Conference Paper | LibreCat-ID: 48850
J. Bossek, C. Doerr, and P. Kerschke, “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 778–786, doi: 10.1145/3377930.3390155.
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| DOI
2020 | Conference Paper | LibreCat-ID: 48852
J. Bossek, A. Neumann, and F. Neumann, “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions,” in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 346–359, doi: 10.1007/978-3-030-58112-1_24.
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| DOI
2020 | Conference Paper | LibreCat-ID: 48846
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
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2020 | Conference Paper | LibreCat-ID: 48879
A. V. Do, J. Bossek, A. Neumann, and F. Neumann, “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 681–689, doi: 10.1145/3377930.3389844.
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2020 | Conference Paper | LibreCat-ID: 48895
V. Roostapour, J. Bossek, and F. Neumann, “Runtime Analysis of Evolutionary Algorithms with Biased Mutation for the Multi-Objective Minimum Spanning Tree Problem,” in Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020, pp. 551–559, doi: 10.1145/3377930.3390168.
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2020 | Conference Paper | LibreCat-ID: 48897
M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Parallel Problem Solving from {Nature} (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.
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| DOI
2020 | Journal Article | LibreCat-ID: 48848
J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,” Applied Soft Computing, vol. 88, no. C, 2020, doi: 10.1016/j.asoc.2019.105901.
LibreCat
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2020 | Journal Article | LibreCat-ID: 50175
S. Hohmann, “Calculating the distributions of number, mass and luminosity of the stars with the help of MS Excel,” European Journal of Physics, vol. 42, no. 1, Art. no. 015601, 2020, doi: 10.1088/1361-6404/abb297.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 50280
B. Gössling and D. Daniel, “Video analysis in Design-Based Research – Findings of a project on self-organised learning at a vocational school,” EDeR. Educational Design Research, vol. 2, no. 2, 2020, doi: 10.15460/eder.2.2.1270.
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| DOI
2020 | Journal Article | LibreCat-ID: 25806 |
S. Lübbecke and W. Schnedler, “Don’t patronize me! An experiment on preferences for authorship,” Journal of Economics & Management Strategy, pp. 420–438, 2020, doi: 10.1111/jems.12347.
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2020 | Conference Paper | LibreCat-ID: 21563
M. Caron and O. Müller, “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility,” in 2020 IEEE International Conference on Big Data (Big Data), Online, 2020, pp. 4383–4391, doi: 10.1109/BigData50022.2020.9378134.
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