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Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge., , and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 201-209. PMLR, (2021)A Short Note on the Equivalence of the Ontic and the Epistemic View on Data Imprecision for the Case of Stochastic Dominance for Interval-Valued Data.. ISIPTA, volume 103 of Proceedings of Machine Learning Research, page 330-337. PMLR, (2019)Comparing machine learning algorithms by union-free generic depth., , , and . Int. J. Approx. Reason., (2024)Reciprocal Learning., , and . CoRR, (2024)Modellierung unsicheren Wissens durch kohärente Prävisionen. (April 2011)Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences., , and . ISIPTA, volume 62 of Proceedings of Machine Learning Research, page 181-192. PMLR, (2017)Depth functions for partial orders with a descriptive analysis of machine learning algorithms., , , and . ISIPTA, volume 215 of Proceedings of Machine Learning Research, page 59-71. PMLR, (2023)Computing Simple Bounds for Regression Estimates for Linear Regression with Interval-valued Covariates.. ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 273-279. PMLR, (2021)Robust statistical comparison of random variables with locally varying scale of measurement., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 941-952. PMLR, (2023)Multi-target Decision Making Under Conditions of Severe Uncertainty., , and . MDAI, volume 13890 of Lecture Notes in Computer Science, page 45-57. Springer, (2023)