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5928 Publications
2020 | Conference Paper | LibreCat-ID: 48844
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” In 2020 IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, United Kingdom: IEEE Press, 2020. https://doi.org/10.1109/CEC48606.2020.9185613.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48850
Bossek, Jakob, Carola Doerr, and Pascal 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, 778–786. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3390155.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48852
Bossek, Jakob, Aneta Neumann, and Frank 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), 346–359. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_24.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48846
Bossek, Jakob, Christian Grimme, Günter Rudolph, and Heike Trautmann. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” In 2020 IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, United Kingdom: IEEE Press, 2020. https://doi.org/10.1109/CEC48606.2020.9185778.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48879
Do, Anh Viet, Jakob Bossek, Aneta Neumann, and Frank Neumann. “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem.” In Proceedings of the Genetic and Evolutionary Computation Conference, 681–689. GECCO’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3389844.
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2020 | Conference Paper | LibreCat-ID: 48895
Roostapour, Vahid, Jakob Bossek, and Frank 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, 551–559. {GECCO} ’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3390168.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike 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), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
LibreCat
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2020 | Journal Article | LibreCat-ID: 48848
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88, no. C (2020). https://doi.org/10.1016/j.asoc.2019.105901.
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2020 | Journal Article | LibreCat-ID: 48836
Bartz-Beielstein, Thomas, Carola Doerr, Daan van den Berg, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, et al. “Benchmarking in Optimization: Best Practice and Open Issues.” Corr, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 17397
Amjad, Muhammad Sohaib, Tobias Hardes, Max Schettler, Christoph Sommer, and Falko Dressler. “Using Full Duplex Relaying to Reduce Physical Layer Latency in Platooning.” In 2019 IEEE Vehicular Networking Conference (VNC), 2020. https://doi.org/10.1109/vnc48660.2019.9062784.
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2020 | Conference Paper | LibreCat-ID: 17399
Hardes, Tobias, and Christoph Sommer. “Towards Heterogeneous Communication Strategies for Urban Platooning at Intersections.” In 2019 IEEE Vehicular Networking Conference (VNC), 2020. https://doi.org/10.1109/vnc48660.2019.9062835.
LibreCat
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2020 | Journal Article | LibreCat-ID: 52930
Baader, Franz, Stefan Borgwardt, Patrick Koopmann, Veronika Thost, and Anni-Yasmin Turhan. “Semantic Technologies for Situation Awareness.” Künstliche Intell. 34, no. 4 (2020): 543–550. https://doi.org/10.1007/S13218-020-00694-3.
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2020 | Conference Paper | LibreCat-ID: 35152
Lösch, Achim, and Marco Platzner. “MigHEFT: DAG-Based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes.” In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 6–16, 2020. https://doi.org/10.1109/IPDPSW50202.2020.00012.
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2020 | Book Chapter | LibreCat-ID: 47261
Haney, Julie M., Susanne M. Furman, and Yasemin Acar. “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges.” In HCI for Cybersecurity, Privacy and Trust. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-50309-3_26.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 47260
Wermke, Dominik, Nicolas Huaman, Christian Stransky, Niklas Busch, Yasemin Acar, and Sascha Fahl. “Cloudy with a Chance of Misconceptions: Exploring Users’ Perceptions and Expectations of Security and Privacy in Cloud Office Suites.” In Sixteenth Symposium on Usable Privacy and Security, SOUPS 2020, August 7-11, 2020, edited by Heather Richter Lipford and Sonia Chiasson, 359–377. USENIX Association, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 47262
Gorski, Peter Leo, Yasemin Acar, Luigi Lo Iacono, and Sascha Fahl. “Listen to Developers! A Participatory Design Study on Security Warnings for Cryptographic APIs.” In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, 2020. https://doi.org/10.1145/3313831.3376142.
LibreCat
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2020 | Conference Paper | LibreCat-ID: 47879
Haney, Julie, Susanne Furman, and Yasemin Acar. “Smart Home Security and Privacy Mitigations: Consumer Perceptions, Practices, and Challenges.” International Conference on Human-Computer Interaction, Copenhagen, -1, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz, Heike Trautmann, and Pascal Kerschke. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/IJCNN48605.2020.9207338.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46330
Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, and Heike Trautmann, 48–64. Leiden, The Netherlands, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 46334
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88 (2020): 105901. https://doi.org/10.1016/j.asoc.2019.105901.
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| DOI