Mortier, Thomas, et al. “Set-Valued Prediction in Multi-Class Classification.” Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019, 2019.
LibreCat: /record/15003

Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based Learning to Rank.”10.1007/978-3-030-33778-0_22__Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_22.
LibreCat: /record/15004
DOI: 10.1007/978-3-030-33778-0_22

Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning with Kernels.”10.1007/978-3-030-30179-8_3__KI 2019: Advances in Artificial Intelligence, 2019, doi:10.1007/978-3-030-30179-8_3.
LibreCat: /record/15005
DOI: 10.1007/978-3-030-30179-8_3

Nguyen, Vu-Linh, et al. “Epistemic Uncertainty Sampling.”10.1007/978-3-030-33778-0_7__Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_7.
LibreCat: /record/15006
DOI: 10.1007/978-3-030-33778-0_7

Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.”10.1016/j.jmva.2019.02.017__Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019, doi:10.1016/j.jmva.2019.02.017.
LibreCat: /record/15007
DOI: 10.1016/j.jmva.2019.02.017

Epple, Nico, et al. “Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries.”10.1109/ivs.2019.8814100__2019 IEEE Intelligent Vehicles Symposium (IV), 2019, doi:10.1109/ivs.2019.8814100.
LibreCat: /record/15009
DOI: 10.1109/ivs.2019.8814100

Tornede, Alexander, et al. “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking.” Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, edited by Frank Hoffmann et al., KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–46.
LibreCat: /record/15011

Brinker, Klaus, and Eyke Hüllermeier. “A Reduction of Label Ranking to Multiclass Classification.” Proceedings ECML/PKDD, European Conference on Machine Learning and Knowledge Discovery in Databases, 2019.
LibreCat: /record/15013

Hüllermeier, Eyke, et al. “Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.” Proceedings SUM 2019, International Conference on Scalable Uncertainty Management, 2019.
LibreCat: /record/15014

Henzgen, Sascha, and Eyke Hüllermeier. “Mining Rank Data.”10.1145/3363572__ACM Transactions on Knowledge Discovery from Data, 2019, pp. 1–36, doi:10.1145/3363572.
LibreCat: /record/15015
DOI: 10.1145/3363572