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191 Publications
2022 | Conference Paper | LibreCat-ID: 46303
Pohl, Janina Susanne, et al. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.” Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, AAAI Press, 2022, pp. 1–10, doi:10.36190/2022.91.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46305
Rook, J., et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, Association for Computing Machinery, 2022, pp. 356–359–356–359, doi:10.1145/3520304.3528998.
LibreCat
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2022 | Journal Article | LibreCat-ID: 46309
Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 8, 2022, pp. 1–44, doi:10.3390/app12189094.
LibreCat
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2022 | Journal Article | LibreCat-ID: 46308
Aspar, Pelin, et al. “The Objective That Freed Me: A Multi-Objective Local Search Approach for Continuous Single-Objective Optimization.” Natural Computing, vol. 1, 2022, pp. 1–15, doi:10.1007/s11047-022-09919-w.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 46302
Heins, J., et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph et al., Springer International Publishing, 2022, pp. 192–206.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48861
Bossek, Jakob, and Frank Neumann. “Exploring the Feature Space of TSP Instances Using Quality Diversity.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2022, pp. 186–194, doi:10.1145/3512290.3528851.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 48868
Bossek, Jakob, et al. “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 824–842, doi:10.1145/3520304.3533626.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 48882
Heins, Jonathan, et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 192–206, doi:10.1007/978-3-031-14714-2_14.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 48894
Nikfarjam, Adel, et al. “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem.” Parallel Problem Solving from Nature (PPSN XVII), edited by Günter Rudolph et al., Springer International Publishing, 2022, pp. 237–249, doi:10.1007/978-3-031-14714-2_17.
LibreCat
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2022 | Journal Article | LibreCat-ID: 48878
Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:10.3390/app12189094.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 48896
Rook, Jeroen, et al. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, 2022, pp. 356–359, doi:10.1145/3520304.3528998.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 52532
Rodrigues, Agatha S., et al. “Estimation of Component Reliability from Superposed Renewal Processes by Means of Latent Variables.” Comput. Stat., vol. 37, no. 1, 2022, pp. 355–379, doi:10.1007/S00180-021-01124-0.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 46318
Grimme, Christian, et al. “Peeking beyond Peaks: Challenges and Research Potentials of Continuous Multimodal Multi-Objective Optimization.” Computers & Operations Research, vol. 136, 2021, p. 105489, doi:https://doi.org/10.1016/j.cor.2021.105489.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 46313
Heins, Jonathan, et al. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA XVI), edited by for Computing Machinery Association, Association for Computing Machinery, 2021, pp. 1–15, doi:10.1145/3450218.3477308.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 46311
Aspar, Pelin, et al. “Multi^3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization.” Evolutionary Multi-Criterion Optimization: 11$^th$ International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings, edited by H. et al. Ishibuchi, Springer, 2021, pp. 311–322, doi:10.1007/978-3-030-72062-9_25.
LibreCat
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2021 | Journal Article | LibreCat-ID: 46317
Coombs, Crispin, et al. “What Is It About Humanity That We Can’t Give Away To Intelligent Machines? A European Perspective.” International Journal of Information Management, vol. 58, 2021, doi:10.1016/j.ijinfomgt.2021.102311.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 46315
Prager, Raphael Patrick, et al. “Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization.” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1–8, doi:10.1109/SSCI50451.2021.9660174.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 46312
Assenmacher, Dennis, et al. “RP-Mod & RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets.” Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), 2021, pp. 1–14.
LibreCat
2021 | Conference Paper | LibreCat-ID: 48853
Bossek, Jakob, et al. “Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms.” Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, 2021, pp. 556–564, doi:10.1145/3449639.3459364.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 48855
Bossek, Jakob, et al. “Exact Counting And~Sampling of Optima for the Knapsack Problem.” Learning and Intelligent Optimization, Springer-Verlag, 2021, pp. 40–54, doi:10.1007/978-3-030-92121-7_4.
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