Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasut E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.
LibreCat: /record/15332

Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2
LibreCat: /record/48877
DOI: 10.1007/s00180-017-0742-2

Wever MD, Mohr F, Hüllermeier E. ML-Plan for Unlimited-Length Machine Learning Pipelines. In: ICML 2018 AutoML Workshop. ; 2018.
LibreCat: /record/3852

Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12
LibreCat: /record/2331
DOI: 10.14257/ijast.2018.112.12

Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation. 2018;26(4):597–620. doi:10.1162/evco_a_00215
LibreCat: /record/48884
DOI: 10.1162/evco_a_00215

Kim Y-S, Lee S-W, Dollmann M, Geierhos M. Semantic Annotation of Software Requirements with Language Frame. International Journal of Software Engineering for Smart Device. 2017;4(2):1-6.
LibreCat: /record/1098

Bischl B, Mersmann O, Trautmann H, Preuß M. Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning. In: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation. GECCO ’12. Association for Computing Machinery; 2012:313–320. doi:10.1145/2330163.2330209
LibreCat: /record/46396
DOI: 10.1145/2330163.2330209