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145 Publications
2020 | Conference Paper | LibreCat-ID: 46325
Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “Towards Automated Configuration of Stream Clustering Algorithms.” In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 137–143. Würzburg, Germany, 2020. https://doi.org/10.1007/978-3-030-43823-4_12.
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2020 | Conference Paper | LibreCat-ID: 46321
Assenmacher, Dennis, Lena Frischlich , Heike Trautmann, Christian Grimme, and Lena Adam. “Inside the Tool Set of Automation: Free Social Bot Code Revisited.” In Disinformation in Open Online Media, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 101–114. Lecture Notes in Computer Science. Wiesbaden: Springer, 2020.
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” In Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. Athens, Greece, 2020. https://doi.org/10.1007/978-3-030-53552-0_10.
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2020 | Conference Paper | LibreCat-ID: 46327
Lena, Clever, Lena Frischlich, Heike Trautmann, and Christian Grimme. “Automated Detection of Nostalgic Text in the Context of Societal Pessimism.” In Disinformation in Open Online Media, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 48–58. Hamburg, Deutschland, 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46329
Riehle, Dennis M., Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, and Jörg Becker. “Building an Integrated Comment Moderation System – Towards a Semi-Automatic Moderation Tool.” In Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, edited by Gabriele Meiselwitz, 71–86. Cham: Springer International Publishing, 2020.
LibreCat
2020 | Journal Article | LibreCat-ID: 46333
Assenmacher, Dennis, Lena Clever, Lena Frischlich, Thorsten Quandt, Heike Trautmann, and Christian Grimme. “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors.” Social Media + Society 6, no. 3 (2020): 2056305120939264. https://doi.org/10.1177/2056305120939264.
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2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff, Vera, Pascal Kerschke, Pelin Aspar, Heike Trautmann, and Christian Grimme. “Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent.” In Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. Canberra, Australia, 2020. https://doi.org/10.1109/SSCI47803.2020.9308259.
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2020 | Conference Paper | LibreCat-ID: 46331
Seiler, Moritz, Heike Trautmann, and Pascal Kerschke. “Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries.” In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/IJCNN48605.2020.9207338.
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI), edited by Thomas Bäck, Mike Preuss, André Deutz, Hao Wang, Carola Doerr, Michael Emmerich, and Heike Trautmann, 48–64. Leiden, The Netherlands, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
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2020 | Journal Article | LibreCat-ID: 46334
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” Applied Soft Computing 88 (2020): 105901. https://doi.org/10.1016/j.asoc.2019.105901.
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2020 | Conference Paper | LibreCat-ID: 46322
Bossek, Jakob, Christian Grimme, Günter Rudolph, and Heike Trautmann. “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, UK, 2020. https://doi.org/10.1109/CEC48606.2020.9185778.
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2020 | Conference Paper | LibreCat-ID: 46324
Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection.” In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. Glasgow, UK: IEEE, 2020.
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek, Jakob, Christian Grimme, and Heike Trautmann. “Dynamic Bi-Objective Routing of Multiple Vehicles.” In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 166–174. Cancun, Mexico: ACM, 2020.
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme, Christian, Pascal Kerschke, and Heike Trautmann. “Multimodality in Multi-Objective Optimization — More Boon than Bane?” In Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Coello Carlos A. Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 11411:126–138. Lecture Notes in Computer Science. East Lansing, MI, USA: Springer, 2019. https://doi.org/10.1007/978-3-030-12598-1_11.
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke, Pascal, Holger H Hoos, Frank Neumann, and Heike Trautmann. “Automated Algorithm Selection: Survey and Perspectives.” Evolutionary Computation (ECJ) 27, no. 1 (2019): 3–45. https://doi.org/10.1162/evco_a_00242.
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2019 | Journal Article | LibreCat-ID: 46344
Carnein, Matthias, and Heike Trautmann. “Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms.” Business and Information Systems Engineering (BISE) 61, no. 3 (2019): 277–297.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46340
Carnein, Matthias, Leschek Homann, Heike Trautmann, and Gottfried Vossen. “A Recommender System Based on Omni-Channel Customer Data.” In Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19), 65–74. Moscow, Russia, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46341
Carnein, Matthias, and Heike Trautmann. “Customer Segmentation Based on Transactional Data Using Stream Clustering.” In Proceedings of the 23$^rd$ Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19), 280–292. Macau, China, 2019.
LibreCat
2019 | Conference Paper | LibreCat-ID: 46342
Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss, André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” In AIP Conference Proceedings, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing, 2019. https://doi.org/10.1063/1.5090019.
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke, Pascal, and Heike Trautmann. “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco.” In Applications in Statistical Computing, edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, and Maurizio Vichi, 93–123. Springer, 2019. https://doi.org/10.1007/978-3-030-25147-5_7.
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