Georg Schollmeyer
Orcid: 0000-0002-6199-1886
According to our database1,
Georg Schollmeyer
authored at least 21 papers
between 2015 and 2023.
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Bibliography
2023
Neural Networks, April, 2023
J. Mach. Learn. Res., 2023
CoRR, 2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning.
CoRR, 2023
Robust statistical comparison of random variables with locally varying scale of measurement.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Modeling Decisions for Artificial Intelligence, 2023
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
Depth functions for partial orders with a descriptive analysis of machine learning algorithms.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
2022
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty.
Int. J. Approx. Reason., 2022
Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
2021
Computing Simple Bounds for Regression Estimates for Linear Regression with Interval-valued Covariates.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
2019
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.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
2018
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity.
Math. Soc. Sci., 2018
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences.
Int. J. Approx. Reason., 2018
2017
On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
Int. J. Approx. Reason., 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
2016
Proceedings of the Soft Methods for Data Science, 2016
2015
Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data.
Int. J. Approx. Reason., 2015