2026

 

Research article in digital collection (conference)

Griesbach, M., Lütke, S. J., Winkelmann, H., & Grimme, C. (2026). Towards Simulating User Behavior for Automating Usability Tests by Employing Large Language Models. (akzeptiert / in Druck (unveröffentlicht))
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2025

 

Research article in proceedings (conference)

Lütke, S., Janina;, G., Britta;, G., Marie;, G., & Christian, (2025). Out of Order: On the Importance of Word Positions in Explaining Text Classification. In Nicosia, , Giuseppe;, P., Panos;, O., & Varun;, e. a. (Eds.), The 11th International Conference on Machine Learning,Optimization and Data Science — LOD 2025 (pp. 1–15). Lecture Notes of Computer Science (LNCS). Cham: Springer Nature. (akzeptiert / in Druck (unveröffentlicht))
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Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., & Schütze, O. (2025). Hot off the Press: Finding e-locally Optimal Solutions for Multi-objective Multimodal Optimization. In Ochoa, G. (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 61–62). New York, NY, USA: Association for Computing Machinery, Inc. (Veröffentlicht)
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Schäpermeier, L. (2025). Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems. In Filipic, B. (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2025 (pp. 1199–1207). online: ACM Press. (Veröffentlicht)
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2024

 

Book (edited collection)

Bayer, J., & Grimme, C. (Eds.) (2024). Code and Conscience — Exploring Technology, Human Rights, and Ethics in Multidisciplinary AI Education (1st ed.). Lecture Notes in Artificial Intelligence: Vol. 14400. Cham: Springer Nature.
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Research article (book contribution)

Pohl, J., Griesbach, M., Samiei, A., & de Araujo, A. (2024). Social Bots Spreading Disinformation About Finance: Research Trends, and Ethical Challenges. In Judit, B., & Christian, G. (Eds.), Code and Conscience: Exploring Technology, Human Rights, and Ethics in Multidisciplinary AI Education (1st ed., pp. 77–95). Lecture Notes in Computer Science: Vol. 14400. Cham: Springer Publishing.
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Research article in proceedings (conference)

Bossek, J., & Grimme, C. (2024). Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem. In Xiaodong, L., & Julia, H. (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference (pp. 133–141-133–141). GECCO '24. New York, NY, USA: Association for Computing Machinery.
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Heins, J., Schäpermeier, L., Kerschke, P., & Whitley, D. (2024). Dancing to the State of the Art?: How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem. In Affenzeller, M., Winkler, S. M., Kononova, A. V., Trautmann, H., Tušar, T., Machado, P., & Bäck, T. (Eds.), Parallel Problem Solving from Nature — PPSN XVIII (pp. 100–115). Cham: Springer Science and Business Media Deutschland GmbH. (Veröffentlicht)
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Schäpermeier, L., & Kerschke, P. (2024). Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. In Affenzeller, M., Winkler, S. M., Kononova, A. V., Trautmann, H., Tusar, T., Machado, P., & Bäck, T. (Eds.), Parallel Problem Solving from Nature — PPSN XVIII — 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV (pp. 202–216). online: Springer Publishing. (Veröffentlicht)
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Stampe, L., Lütke-Stockdiek, J., Grimme, B., & Grimme, C. (2024). Benchmarking Sentence Embeddings in Textual Stream Clustering with Applications to Campaign Detection. In Hirose, A., Ishibuchi, H., Jayne, C., & , (Eds.), Proceedings of the IEEE World Congress on Computational Intelligence (WCCI) — International Joint Conference on Neural Networks (IJCNN) (pp. 1–8). New Jersey: Wiley-IEEE Press.
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Research article (journal)

Bossek, J., & Grimme, C. (2024). On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. Evolutionary Computation, 32(2), 143–175.
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Conference proceedings

(2024). Disinformation in Open Online Media.
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