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Publications

  1. 2019
  2. Multioracle coevolutionary learning of requirements specifications from examples in on-the-fly markets

    Wever, M., Van Rooijen, L. & Hamann, H., 2019, In: Evolutionary computation. 28, 2, p. 165-193 29 p.

    Research output: Contribution to journalArticleResearchpeer review

  3. 2018
  4. Automated Multi-Label Classification based on ML-Plan

    Wever, M., Mohr, F. & Hüllermeier, E., Nov 2018, In: Computing Research Repository (CoRR). November 2018

    Research output: Contribution to journalArticleResearchpeer review

  5. ML-Plan: Automated machine learning via hierarchical planning

    Mohr, F., Wever, M. & Hüllermeier, E., 1 Sept 2018, In: Machine learning. 107, 8-10, p. 1495-1515 21 p.

    Research output: Contribution to journalArticleResearchpeer review

  6. Automated Machine Learning Service Composition

    Mohr, F., Wever, M. & Hüllermeier, E., Sept 2018, In: Computing Research Repository (CoRR). September 2018

    Research output: Contribution to journalArticleResearchpeer review

  7. Ensembles of evolved nested dichotomies for classification

    Wever, M., Mohr, F. & Hüllermeier, E., 2 Jul 2018, GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. p. 561-568 8 p. (GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  8. ML-Plan for Unlimited-Length Machine Learning Pipelines

    Wever, M., Mohr, F. & Hüllermeier, E., Jul 2018. 8 p.

    Research output: Contribution to conferencePaperResearchpeer review

  9. Programmatic Task Network Planning

    Mohr, F., Lettmann, T. (Editor), Hüllermeier, E. (Contributor) & Wever, M. D. (Translator), Jun 2018, Proceedings of the 1st ICAPS Workshop on Hierarchical Planning. Bercher, P., Höller, D., Biundo, S. & Alford, R. (eds.). p. 31-39 9 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  10. On-the-Fly Service Construction with Prototypes

    Mohr, F., Wever, M. & Hüllermeier, E., 2018, Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services. Institution of Electrical Engineers (IEE), p. 225-232 8 p. 8456422

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  11. Reduction stumps for multi-class classification

    Mohr, F., Wever, M. & Hüllermeier, E., 2018, Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings. Siebes, A., Duivesteijn, W. & Ukkonen, A. (eds.). Springer Verlag, p. 225-237 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11191 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  12. Towards the Automated Composition of Machine Learning Services

    Mohr, F., Wever, M., Hüllermeier, E. & Faez, A., 2018, 2018 IEEE International Conference on Services Computing (SCC). Institution of Electrical Engineers (IEE), p. 241-244 4 p. 8456425

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  13. 2017
  14. Published

    Active coevolutionary learning of requirements specifications from examples.

    Wever, M., Rooijen, L. V. & Hamann, H., 2017, GECCO 2017 - Proceedings of the 2017 Genetic and Evolutionary Computation Conference. p. 1327-1334 8 p. (Proceedings of the Genetic and Evolutionary Computation Conference).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  15. Published

    Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization: 27th Workshop Computational Intelligence

    Wever, M. D., Mohr, F. (Editor) & Hüllermeier, E. (Editor), 2017, p. 149-166. 18 p.

    Research output: Contribution to conferencePaperResearchpeer review

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