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10 Publications
2024 | Journal Article | LibreCat-ID: 54548
Prager, Raphael Patrick, and Heike Trautmann. “Exploratory Landscape Analysis for Mixed-Variable Problems.” IEEE Transactions on Evolutionary Computation, 2024, pp. 1–1, doi:10.1109/TEVC.2024.3399560.
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2024 | Conference Paper | LibreCat-ID: 56277
Kilsbach, Sebastian, and Nadine Michel. “Computer-Based Generation of Learner-Sensitive Feedback to Argumentative Learner Texts.” Proceedings of the Tenth Conference of the International Society for the Study of Argumentation, 2024.
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2023 | Book Chapter | LibreCat-ID: 52662
Nachtigall, Marcus, et al. “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 95–96.
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2023 | Conference Paper | LibreCat-ID: 52816
Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524, doi:10.5162/smsi2023/d7.4.
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2022 | Conference Paper | LibreCat-ID: 32410
Nachtigall, Marcus, et al. “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.” Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM, 2022, pp. 532–43, doi:10.1145/3533767.
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2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.
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2021 | Book Chapter | LibreCat-ID: 48881
Heins, Jonathan, et al. “On the Potential of Normalized TSP Features for Automated Algorithm Selection.” Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2021, pp. 1–15.
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.
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2018 | Conference Paper | LibreCat-ID: 3852 | 
Wever, Marcel Dominik, et al. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” ICML 2018 AutoML Workshop, 2018.
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation, vol. 26, no. 4, 2018, pp. 597–620, doi:10.1162/evco_a_00215.
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