Epple, N., Dari, S., Drees, L., Protschky, V., &; Riener, A. (2019). Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries. In 2019 IEEE Intelligent Vehicles Symposium (IV).https://doi.org/10.1109/ivs.2019.8814100 
LibreCat: /record/15009
DOI: 10.1109/ivs.2019.8814100

Tornede, A., Wever, M. D., &; Hüllermeier, E. (2019). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. In F. Hoffmann, E. Hüllermeier, &; R. Mikut (Eds.), Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019 (pp. 135–146). Dortmund: KIT Scientific Publishing, Karlsruhe.
LibreCat: /record/15011

Brinker, K., &; Hüllermeier, E. (2019). A Reduction of Label Ranking to Multiclass Classification. In Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases. Würzburg, Germany.
LibreCat: /record/15013

Hüllermeier, E., Couso, I., &; Diestercke, S. (2019). Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. In Proceedings SUM 2019, International Conference on Scalable Uncertainty Management.
LibreCat: /record/15014

Henzgen, S., &; Hüllermeier, E. (2019). Mining Rank Data. ACM Transactions on Knowledge Discovery from Data, 1–36.https://doi.org/10.1145/3363572 
LibreCat: /record/15015
DOI: 10.1145/3363572

Bengs, V., Eulert, M., &; Holzmann, H. (2019). Asymptotic confidence sets for the jump curve in bivariate regression problems. Journal of Multivariate Analysis, 291–312.https://doi.org/10.1016/j.jmva.2019.02.017 
LibreCat: /record/14027
DOI: 10.1016/j.jmva.2019.02.017

Bengs, V., &; Holzmann, H. (2019). Adaptive confidence sets for kink estimation. Electronic Journal of Statistics, 1523–1579.https://doi.org/10.1214/19-ejs1555 
LibreCat: /record/14028
DOI: 10.1214/19-ejs1555

Mohr, F., Wever, M. D., Tornede, A., &; Hüllermeier, E. (2019). From Automated to On-The-Fly Machine Learning. In INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (pp. 273–274). Bonn: Gesellschaft für Informatik e.V.
LibreCat: /record/13132

Wever, M. D., Mohr, F., Tornede, A., &; Hüllermeier, E. (2019). Automating Multi-Label Classification Extending ML-Plan. Presented at the 6th ICML Workshop on Automated Machine Learning (AutoML 2019), Long Beach, CA, USA.
LibreCat: /record/10232

Rohlfing, K., Leonardi, G., Nomikou, I., Rczaszek-Leonardi, J., &; Hüllermeier, E. (2019). Multimodal Turn-Taking: Motivations, Methodological Challenges, and Novel Approaches. IEEE Transactions on Cognitive and Developmental Systems.https://doi.org/10.1109/TCDS.2019.2892991 
LibreCat: /record/20243
DOI: 10.1109/TCDS.2019.2892991