Jeroen Rook
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20222024

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  • Facial Recognition in the Public Space: Challenges and Perspectives

    Arwert, I., Mehlan, A., Rook, J. G. & Wenning, J., 25 Oct 2024, Code and Conscience: Exploring Technology, Human Rights, and Ethics in Multidisciplinary AI Education. Springer, p. 1-16 16 p. ( Lecture Notes in Computer Science; vol. 14400).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • Multi-objective Ranking using Bootstrap Resampling

    Rook, J., Hoos, H. H. & Trautmann, H., 1 Aug 2024, Proceedings of the Genetic and Evolutionary Computation Conference Companion. ACM Publishing, p. 155-158 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems

    Preuß, O. L., Rook, J. & Trautmann, H., 21 Mar 2024, Applications of Evolutionary Computation: 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I. Smith, S., Correia, J. & Cintrano, C. (eds.). p. 305-321 17 p. (Lecture Notes in Computer Science; vol. 14634).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    Open Access
    File
    1 Citation (Scopus)
    29 Downloads (Pure)
  • Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP

    Seiler, M. V., Rook, J., Heins, J., Preuß, O. L., Bossek, J. & Trautmann, H., 2023, 2023 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE, p. 361-368 8 p. (IEEE Symposium Series on Computational Intelligence; vol. 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    1 Citation (Scopus)
    51 Downloads (Pure)
  • BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems

    Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J. & Trautmann, H., 2022, Parallel Problem Solving from Nature: PPSN XVII. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). Springer, p. 192-206 15 p. (Lecture Notes in Computer Science; vol. 13398).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    43 Downloads (Pure)