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Dr.  Marcel Dominik Wever

https://orcid.org/0000-0001-9782-6818
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Publications

  1. 2024

  2. Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO

    Brandt, J., Wever, M., Bengs, V. & Hüllermeier, E., Aug 2024, p. 3742-3750.

    Research output: Contribution to conference › Paper › Research › peer review

  3. Hyperparameter optimization of two-branch neural networks in multi-target prediction

    Iliadis, D., Wever, M., De baets, B. & Waegeman, W., Nov 2024, In: Applied soft computing. 165, p. 111957 111957.

    Research output: Contribution to journal › Article › Research › peer review

  4. E-pub ahead of print

    Position: Why We Must Rethink Empirical Research in Machine Learning

    Herrmann, M., Lange, F. J. D., Eggensperger, K., Casalicchio, G., Wever, M., Feurer, M., Rügamer, D., Hüllermeier, E., Boulesteix, A. & Bischl, B., Jul 2024, (E-pub ahead of print) Proceedings of the international conference on machine learning.

    Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review

  5. E-pub ahead of print

    ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data

    Margraf, V., Wever, M., Gilhuber, S., Tavares, G. M., Seidl, T. & Hüllermeier, E., 15 Jun 2024, (E-pub ahead of print).

    Research output: Working paper/Preprint › Preprint

  6. E-pub ahead of print

    Information Leakage Detection through Approximate Bayes-optimal Prediction

    Gupta, P., Wever, M. & Hüllermeier, E., 25 Jan 2024, (E-pub ahead of print).

    Research output: Working paper/Preprint › Preprint

  7. Published

    On the Importance of Initialization in Active Learning

    Margraf, V., Wever, M. D. & Hüllermeier, E., 2024.

    Research output: Contribution to conference › Paper › Research › peer review

  8. 2023

  9. Annotation uncertainty in the context of grammatical change

    Merten, M. L., Wever, M., Geierhos, M., Tophinke, D. & Hüllermeier, E., 19 Jul 2023, In: International Journal of Corpus Linguistics. 28, 3, p. 430-459 30 p.

    Research output: Contribution to journal › Article › Research › peer review

  10. Published

    Configuration and Evaluation

    Hanselle, J., Hüllermeier, E., Mohr, F., Ngomo, A. C. N., Sherif, M. A., Tornede, A. & Wever, M. D., 22 Jun 2023, On-The-Fly Computing -- Individualized IT-services in dynamic markets.

    Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research

  11. Published

    PyExperimenter: Easily distribute experiments and track results

    Tornede, T., Tornede, A., Fehring, L., Gehring, L., Graf, H., Hanselle, J., Mohr, F. & Wever, M., 20 Apr 2023, In: Journal of Open Source Software. 3 p.

    Research output: Contribution to journal › Article › Research › peer review

  12. Algorithm selection on a meta level

    Tornede, A., Gehring, L., Tornede, T., Wever, M. & Hüllermeier, E., Apr 2023, In: Machine learning. 112, 4, p. 1253-1286 34 p.

    Research output: Contribution to journal › Article › Research › peer review

  13. Naive automated machine learning

    Mohr, F. & Wever, M., Apr 2023, In: Machine learning. 112, 4, p. 1131-1170 40 p.

    Research output: Contribution to journal › Article › Research › peer review

  14. Published

    A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)

    Schede, E., Brandt, J., Tornede, A., Wever, M., Bengs, V., Hüllermeier, E. & Tierney, K., 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). p. 6964-6968 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  15. Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.

    Wever, M., Özdogan, M. & Hüllermeier, E., 2023, GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference. p. 597-605 9 p. (Proceedings of the Genetic and Evolutionary Computation Conference).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  16. E-pub ahead of print

    Iterative Deepening Hyperband.

    Brandt, J., Wever, M., Iliadis, D., Bengs, V. & Hüllermeier, E., 2023, (E-pub ahead of print) (CoRR).

    Research output: Working paper/Preprint › Preprint

  17. Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets.

    Schubert, D., Gupta, P. & Wever, M., 2023, Advances in Intelligent Data Analysis XXI - 21st International Symposium on Intelligent Data Analysis, IDA 2023, Proceedings. Crémilleux, B., Hess, S. & Nijssen, S. (eds.). p. 392-405 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13876 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  18. Towards Green Automated Machine Learning: Status Quo and Future Directions

    Tornede, T., Tornede, A., Hanselle, J., Mohr, F., Wever, M. & Hüllermeier, E., 2023, In: Journal of Artificial Intelligence Research. 77, p. 427-457 31 p.

    Research output: Contribution to journal › Article › Research › peer review

  19. 2022

  20. A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials

    Gevers, K., Tornede, A., Wever, M., Schöppner, V. & Hüllermeier, E., Oct 2022, In: Welding in the world. 66, 10, p. 2157-2170 14 p.

    Research output: Contribution to journal › Article › Research › peer review

  21. A flexible class of dependence-aware multi-label loss functions

    Hüllermeier, E., Wever, M., Loza Mencia, E., Fürnkranz, J. & Rapp, M., Feb 2022, In: Machine learning. 111, 2, p. 713-737 25 p.

    Research output: Contribution to journal › Article › Research › peer review

  22. A Survey of Methods for Automated Algorithm Configuration

    Schede, E., Brandt, J., Tornede, A., Wever, M., Bengs, V., Hüllermeier, E. & Tierney, K., 2022, In: Journal of Artificial Intelligence Research. 75, p. 425-487 63 p.

    Research output: Contribution to journal › Review article › Research › peer review

  23. 2021

  24. Grammatikwandel digital-kulturwissenschaftlich erforscht: Mittelniederdeutscher Sprachausbau im interdisziplinären Zugriff

    Merten, M., Seemann, N. & Wever, M. D., 22 Dec 2021, Jahrbuch des Vereins für Niederdeutsche Sprachforschung: Jahrgang 2021. 1. ed. p. 124-146 23 p. (Jahrbuch des Vereins für Niederdeutsche Sprachforschung; vol. 144).

    Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review

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