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6112 Publications
2019 | Conference Paper | LibreCat-ID: 15332
Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasutė E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.
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2019 | Conference Paper | LibreCat-ID: 15640
Opel SA, Schlichtig M, Schulte C, et al. Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In: INFOS. Vol P-288. LNI. Gesellschaft für Informatik; 2019:285-294.
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2019 | Conference Paper | LibreCat-ID: 15641
Schlichtig M, Opel SA, Schulte C, et al. Maschinelles Lernen im Unterricht mit Jupyter Notebook. In: INFOS. Vol P-288. LNI. Gesellschaft für Informatik; 2019:385.
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2019 | Conference Paper | LibreCat-ID: 15643
Opel SA, Schlichtig M, Schulte C. Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress). In: WiPSCE. ACM; 2019:11:1-11:2.
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2019 | Conference Paper | LibreCat-ID: 13259
Chen W-F, Al-Khatib K, Hagen M, Wachsmuth H, Stein B. Unraveling the Search Space of Abusive Language in Wikipedia with Dynamic Lexicon Acquisition. In: Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom. ; 2019:76-82.
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2019 | Conference Paper | LibreCat-ID: 13904 | 
Blömer J, Bobolz J, Diemert DP, Eidens F. Updatable Anonymous Credentials and Applications to Incentive Systems. In: Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19. Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security - CCS ’19. ; 2019. doi:10.1145/3319535.3354223
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2019 | Conference Paper | LibreCat-ID: 46343
Grimme C, Kerschke P, Trautmann H. Multimodality in Multi-Objective Optimization — More Boon than Bane? In: Deb K, Goodman E, Coello CCA, et al., eds. Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO). Vol 11411. Lecture Notes in Computer Science. Springer; 2019:126–138. doi:10.1007/978-3-030-12598-1_11
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2019 | Journal Article | LibreCat-ID: 46345
Kerschke P, Hoos HH, Neumann F, Trautmann H. Automated Algorithm Selection: Survey and Perspectives. Evolutionary Computation (ECJ). 2019;27(1):3–45. doi:10.1162/evco_a_00242
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2019 | Journal Article | LibreCat-ID: 46344
Carnein M, Trautmann H. Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Business and Information Systems Engineering (BISE). 2019;61(3):277–297.
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2019 | Conference Paper | LibreCat-ID: 46340
Carnein M, Homann L, Trautmann H, Vossen G. A Recommender System Based on Omni-Channel Customer Data. In: Proceedings of the 21$^st$ IEEE Conference on Business Informatics (CBI’ 19). ; 2019:65–74.
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2019 | Conference Paper | LibreCat-ID: 46341
Carnein M, Trautmann H. 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). ; 2019:280–292.
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2019 | Conference Paper | LibreCat-ID: 46342
Grimme C, Kerschke P, Emmerich MTM, Preuss M, Deutz AH, Trautmann H. Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. In: AIP Conference Proceedings. AIP Publishing; 2019:020052-1-020052-020054. doi:10.1063/1.5090019
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2019 | Book Chapter | LibreCat-ID: 46336
Kerschke P, Trautmann H. Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco. In: Bauer N, Ickstadt K, Lübke K, Szepannek G, Trautmann H, Vichi M, eds. Applications in Statistical Computing. Springer; 2019:93–123. doi:10.1007/978-3-030-25147-5_7
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2019 | Book | LibreCat-ID: 46335
Trautmann H. Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement. Springer International Publishing; 2019.
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2019 | Journal Article | LibreCat-ID: 46346
Kerschke P, Trautmann H. Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. Evolutionary Computation (ECJ). 2019;27(1):99–127. doi:10.1162/evco_a_00236
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2019 | Journal Article | LibreCat-ID: 46347
Kerschke P, Wang H, Preuss M, et al. Search Dynamics on Multimodal Multi-Objective Problems. Evolutionary Computation (ECJ). 2019;27(4):577–609. doi:10.1162/evco_a_00234
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2019 | Conference Paper | LibreCat-ID: 48841
Bossek J, Grimme C, Meisel S, Rudolph G, Trautmann H. Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. In: Deb K, Goodman E, Coello Coello CA, et al., eds. Evolutionary Multi-Criterion Optimization (EMO). Lecture Notes in Computer Science. Springer International Publishing; 2019:516–528. doi:10.1007/978-3-030-12598-1_41
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2019 | Conference Paper | LibreCat-ID: 48842
Bossek J, Kerschke P, Neumann A, Wagner M, Neumann F, Trautmann H. Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators. In: Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’19. Association for Computing Machinery; 2019:58–71. doi:10.1145/3299904.3340307
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2019 | Conference Paper | LibreCat-ID: 48843
Bossek J, Neumann F, Peng P, Sudholt D. Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:1443–1451. doi:10.1145/3321707.3321792
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2019 | Conference Paper | LibreCat-ID: 48840
Bossek J, Grimme C, Neumann F. On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem. In: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO ’19. Association for Computing Machinery; 2019:516–523. doi:10.1145/3321707.3321818
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