Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.”https://doi.org/10.1007/978-3-031-56852-7_20__In Applications of Evolutionary Computation. Cham: Springer Nature Switzerland, 2024.https://doi.org/10.1007/978-3-031-56852-7_20 .
LibreCat: /record/52759
DOI: 10.1007/978-3-031-56852-7_20

Vinzent Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.”https://doi.org/10.1109/ssci52147.2023.10372008__In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2024.https://doi.org/10.1109/ssci52147.2023.10372008 .
LibreCat: /record/52749
DOI: 10.1109/ssci52147.2023.10372008

Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.”https://doi.org/10.1145/3594805.3607136__In Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023.https://doi.org/10.1145/3594805.3607136 .
LibreCat: /record/47522
DOI: 10.1145/3594805.3607136

Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.
LibreCat: /record/46297

Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.
LibreCat: /record/46298

Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.”https://doi.org/10.1162/evco_a_00341__Evolutionary Computation, 2023, 1–25.https://doi.org/10.1162/evco_a_00341 .
LibreCat: /record/46299
DOI: 10.1162/evco_a_00341

Heins, Jonathan, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, and Pascal Kerschke. “A Study on the Effects of Normalized TSP Features for Automated Algorithm Selection.”https://doi.org/10.1016/j.tcs.2022.10.019__Theoretical Computer Science 940 (2023): 123–45.https://doi.org/10.1016/j.tcs.2022.10.019 .
LibreCat: /record/46310
DOI: https://doi.org/10.1016/j.tcs.2022.10.019

Prager, Raphael Patrick, and Heike Trautmann. “Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems.”https://doi.org/10.1145/3583133.3590757__In Companion Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO 2023, Companion Volume, Lisbon, Portugal, July 15-19, 2023, edited by Sara Silva and Luís Paquete, 451–454. ACM, 2023.https://doi.org/10.1145/3583133.3590757 .
LibreCat: /record/52530
DOI: 10.1145/3583133.3590757

Seiler, Moritz Vinzent, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.”https://doi.org/10.1109/SSCI52147.2023.10372008__In 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 361–68, n.d.https://doi.org/10.1109/SSCI52147.2023.10372008 .
LibreCat: /record/48898
DOI: 10.1109/SSCI52147.2023.10372008

Niemann, Marco, Dennis Assenmacher, Jens Brunk, Dennis Maximilian Riehle, Jörg Becker, and Heike Trautmann. “(Semi-)Automatische Kommentarmoderation Zur Erhaltung Konstruktiver Diskurse.”https://doi.org/10.1007/978-3-658-35658-3_13__In Hate Speech — Definitionen, Ausprägungen, Lösungen, edited by Gerrit Weitzel and Stephan Mündges, 249–274. Wiesbaden: VS Verlag für Sozialwissenschaften, 2022.https://doi.org/10.1007/978-3-658-35658-3_13 .
LibreCat: /record/46300
DOI: 10.1007/978-3-658-35658-3_13

Assenmacher, D, and Heike Trautmann. “Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption.”https://doi.org/10.1007/978-3-031-21743-2_1__In Intelligent Information and Database Systems, edited by T et al. Tran, 3–16. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-21743-2_1 .
LibreCat: /record/46301
DOI: 10.1007/978-3-031-21743-2_1

Assenmacher, Dennis, Derek Weber, Mike Preuss, André Calero Valdez, Alison Bradshaw, Björn Ross, Stefano Cresci, Heike Trautmann, Frank Neumann, and Christian Grimme. “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem.”https://doi.org/10.1177/08944393211012268__Social Science Computer Review 40, no. 6 (2022): 1496–1522.https://doi.org/10.1177/08944393211012268 .
LibreCat: /record/46316
DOI: 10.1177/08944393211012268

Schneider, Lennart, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, and Pascal Kerschke. “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis.”https://doi.org/10.1007/978-3-031-14714-2_40__In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tusar, 575–589. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-14714-2_40 .
LibreCat: /record/46306
DOI: 10.1007/978-3-031-14714-2_40

Seiler, Moritz Vinzent, Raphael Patrick Prager, Pascal Kerschke, and Heike Trautmann. “A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes.”https://doi.org/10.1145/3512290.3528834__In Proceedings of the Genetic and Evolutionary Computation Conference, 657–665. New York, NY, USA: Association for Computing Machinery, 2022.https://doi.org/10.1145/3512290.3528834 .
LibreCat: /record/46307
DOI: 10.1145/3512290.3528834

Prager, Raphael Patrick, Moritz Vinzent Seiler, Heike Trautmann, and Pascal Kerschke. “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods.”https://doi.org/10.1007/978-3-031-14714-2_1__In Parallel Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V. Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tusar, 3–17. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-14714-2_1 .
LibreCat: /record/46304
DOI: 10.1007/978-3-031-14714-2_1

Pohl, Janina Susanne, Dennis Assenmacher, Moritz Vincent Seiler, Heike Trautmann, and Christian Grimme. “Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches.”https://doi.org/10.36190/2022.91__In Workshop Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM), edited by for the Advancement of Artificial Intelligence (AAAI) Association, 1–10. Palo Alto, CA, USA: AAAI Press, 2022.https://doi.org/10.36190/2022.91 .
LibreCat: /record/46303
DOI: 10.36190/2022.91

Rook, J, Heike Trautmann, J Bossek, and C Grimme. “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems.”https://doi.org/10.1145/3520304.3528998__In Proceedings of the Genetic and Evolutionary Computation Conference Companion, edited by J Fieldsend and M. Wagner, 356–359–356–359. GECCO ’22. New York, NY, USA: Association for Computing Machinery, 2022.https://doi.org/10.1145/3520304.3528998 .
LibreCat: /record/46305
DOI: 10.1145/3520304.3528998

Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.”https://doi.org/10.3390/app12189094__Applied Sciences 12, no. 8 (2022): 1–44.https://doi.org/10.3390/app12189094 .
LibreCat: /record/46309
DOI: 10.3390/app12189094

Aspar, Pelin, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, and Christian Grimme. “The Objective That Freed Me: A Multi-Objective Local Search Approach for Continuous Single-Objective Optimization.”https://doi.org/10.1007/s11047-022-09919-w__Natural Computing 1 (2022): 1–15.https://doi.org/10.1007/s11047-022-09919-w .
LibreCat: /record/46308
DOI: 10.1007/s11047-022-09919-w

Heins, J, J Rook, L Schäpermeier, P Kerschke, J Bossek, and Heike Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems.” In Parallel Problem Solving from Nature — PPSN XVII, edited by G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa, and T Tusar, 192–206. Cham: Springer International Publishing, 2022.
LibreCat: /record/46302