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20202024

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  • 2024

    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., 1 Jan 2024, 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

  • 2022

    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
    19 Downloads (Pure)
  • On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems

    Rook, J., Trautmann, H., Bossek, J. & Grimme, C., 9 Jul 2022, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. p. 356-359 4 p.

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

    Open Access
    File
    2 Citations (Scopus)
    58 Downloads (Pure)
  • 2021

    Multi 3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization

    Aspar, P., Kerschke, P., Steinhoff, V., Trautmann, H. & Grimme, C., 2021, Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.). Springer, p. 311-322 12 p. (Lecture Notes in Computer Science; vol. 12654).

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

    5 Citations (Scopus)
  • Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent

    Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H. & Grimme, C., 5 Jan 2021, IEEE Symposium Series on Computational Intelligence (SSCI). p. 2445-2452 8 p. 9308259

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

    File
    5 Citations (Scopus)
    36 Downloads (Pure)
  • Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis

    Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W. & Kerschke, P., 5 Jan 2021, IEEE Symposium Series on Computational Intelligence (SSCI). p. 996-1003 8 p. 9308510

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

    10 Citations (Scopus)
  • 2020

    Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection

    Bossek, J., Kerschke, P. & Trautmann, H., 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). Glasgow, UK: IEEE, 8 p.

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

    File
    2 Citations (Scopus)
    14 Downloads (Pure)
  • A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media

    Assenmacher, D., Clever, L., Pohl, JS., Trautmann, H. & Grimme, C., 2020, Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. Meiselwitz, G. (ed.). Cham: Springer, p. 201-214 14 p. (Lecture Notes in Computer Science book series; vol. 12194).

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

    7 Citations (Scopus)
  • Automated detection of nostalgic text in the context of societal pessimism

    Lena, C., Frischlich, L., Trautmann, H. & Grimme, C., 2020, Disinformation in open online media: First Multidisciplinary International Symposium, MISDOOM 2019, Hamburg, Germany, February 27 – March 1, 2019, Revised Selected Papers. Grimme, C., Preuß, M., Takes, F. & Waldherr, A. (eds.). Springer, p. 48-58 11 p. (Lecture Notes in Computer Science; vol. 12021).

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

  • Building an Integrated Comment Moderation System --- Towards a Semi-Automatic Moderation tool

    Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D., Trautmann, H. & Becker, J., 2020, Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing: 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II. Springer, (Lecture Notes in Computer Science; vol. 12195).

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

    2 Citations (Scopus)
  • confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms

    Carnein, M., Trautmann, H., Bifet, A. & Pfahringer, B., 2020, Learning and Intelligent Optimization: 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. Springer, p. 80-95 16 p. (Lecture Notes in Computer Science ; vol. 12096).

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

    8 Citations (Scopus)
  • Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem

    Seiler, M. V., Pohl, J., Bossek, J., Kerschke, P. & Trautmann, H., 2020, Parallel Problem Solving from Nature – PPSN XVI: 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I. Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M. & Trautmann, H. (eds.). p. 48-64 17 p. (Lecture Notes in Computer Science; vol. 12269).

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

    11 Citations (Scopus)
  • Dynamic Bi-Objective Routing of Multiple Vehicles

    Bossek, J., Grimme, C. & Trautmann, H., 2020, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '20). Cancun, Mexico: ACM SIGCOMM, p. 166-174 9 p.

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

    1 Citation (Scopus)
  • Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries

    Seiler, M. V., Trautmann, H. & Kerschke, P., 2020, Proceedings of the International Joint Conference on Neural Networks (IJCNN). Glasgow, UK, 8 p.

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

    File
    9 Downloads (Pure)
  • Inside the tool set of automation: Free social bot code revisited

    Assenmacher, D., Adam, L., Frischlich, L., Trautmann, H. & Grimme, C., 2020, Disinformation in open online media. Grimme, C., Preuß, M., Takes, F. & Waldherr, A. (eds.). Wiesbaden: Springer, p. 101-114 14 p. (Lecture Notes in Computer Science; vol. 12021).

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

    3 Citations (Scopus)
  • Towards Automated Configuration of Stream Clustering Algorithms

    Carnein, M., Trautmann, H., Bifet, A. & Pfahringer, B., 2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Springer, p. 137-143 7 p. (Communications in Computer and Information Science; vol. 1167).

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

    5 Citations (Scopus)
  • Towards Decision Support in Dynamic Bi-Objective Vehicle Routing

    Bossek, J., Grimme, C., Rudolph, G. & Trautmann, H., 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). 8 p.

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

  • Towards Real-Time and Unsupervised Campaign Detection in Social Media

    Assenmacher, D., Adam, L., Trautmann, H. & Grimme, C., 2020, Proceedings of the Florida Artificial Intelligence Research Society Conference.

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

    4 Citations (Scopus)