Thomas Augustin
Orcid: 0000-0002-1854-6226
According to our database1,
Thomas Augustin
authored at least 65 papers
between 1999 and 2024.
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Bibliography
2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.
CoRR, 2024
2023
AStA Wirtschafts und Sozialstatistisches Arch., December, 2023
J. Mach. Learn. Res., 2023
Evaluating machine learning models in non-standard settings: An overview and new findings.
CoRR, 2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 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
2022
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty.
Int. J. Approx. Reason., 2022
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2022
Learning from Categorical Data Subject to Non-random Misclassification and Non-response Under Prior Quasi-Near-Ignorance Using an Imprecise Dirichlet Model.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
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
Internal Validation of Unsupervised Clustering following an Association Accuracy Heuristic.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Undecided Voters as Set-Valued Information - Towards Forecasts Under Epistemic Imprecision.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020
2019
Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability.
Int. J. Approx. Reason., 2019
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
Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information.
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
Kurt Weichselberger's contribution to imprecise probabilities and statistical inference.
Int. J. Approx. Reason., 2018
Imprecise Sampling Models for Modelling Unobserved Heterogeneity? Basic Ideas of a Credal Likelihood Concept.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018
2017
On the testability of coarsening assumptions: A hypothesis test for subgroup independence.
Int. J. Approx. Reason., 2017
Special Issue: Ninth International Symposium on Imprecise Probability: Theory and Applications (ISIPTA'15).
Int. J. Approx. Reason., 2017
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
(Generalized) Linear Regression on Microaggregated Data - From Nuisance Parameter Optimization to Partial Identification.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
2016
Proceedings of the Soft Methods for Data Science, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
2015
Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data.
Int. J. Approx. Reason., 2015
2013
Knowl. Based Syst., 2013
J. Comput. Sci., 2013
Proceedings of the Knowledge Spaces, Applications in Education, 2013
2012
Partially identified prevalence estimation under misclassification using the kappa coefficient.
Int. J. Approx. Reason., 2012
2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Individualized Skill Assessment in Digital Learning Games: Basic Definitions and Mathematical Formalism.
IEEE Trans. Learn. Technol., 2011
Proceedings of the Serious Games Development and Applications, 2011
2010
Int. J. Approx. Reason., 2010
2009
The problem of meaningfulness: Weber's law, Guilford's power law, and the near-miss-to-Weber's law.
Math. Soc. Sci., 2009
A nonparametric predictive alternative to the Imprecise Dirichlet Model: The case of a known number of categories.
Int. J. Approx. Reason., 2009
A Contribution to Integrated Driver Modeling: A Coherent Framework for Modeling Both Non-routine and Routine Elements of the Driving Task.
Proceedings of the Digital Human Modeling, 2009
2008
Int. J. Approx. Reason., 2008
Proceedings of the 2nd IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning, 2008
2007
Int. J. Approx. Reason., 2007
Comput. Stat. Data Anal., 2007
2005
Powerful algorithms for decision making under partial prior information and general ambiguity attitudes.
Proceedings of the ISIPTA '05, 2005
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model.
Proceedings of the ISIPTA '05, 2005
2003
Proceedings of the ISIPTA '03, 2003
On the Suboptimality of the Generalized Bayes Rule and Robust Bayesian Procedures from the Decision Theoretic Point of View --- a Cautionary Note on Updating Imprecise Priors.
Proceedings of the ISIPTA '03, 2003
2001
Proceedings of the ISIPTA '01, 2001
1999
Globally Least Favorable Pairs and Neyman-Pearson Testing under Interval Probability.
Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999