Christian Heumann

CoRR, 2024

2023

Application of iterative hybrid MI approach to household survey data with complex dependence structures.

[BibT_eX]

[DOI]

Humera Razzak

Commun. Stat. Simul. Comput., January, 2023

Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses.

[BibT_eX]

[DOI]

CoRR, 2023

fmeffects: An R Package for Forward Marginal Effects.

[BibT_eX]

[DOI]

Holger Löwe

Bernd Bischl

Giuseppe Casalicchio

CoRR, 2023

Classifying multilingual party manifestos: Domain transfer across country, time, and genre.

[BibT_eX]

[DOI]

Nadja Sauter

CoRR, 2023

How Different Is Stereotypical Bias Across Languages?

[BibT_eX]

[DOI]

CoRR, 2023

Using interpretable boosting algorithms for modeling environmental and agricultural data.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Deep Learning.

[BibT_eX]

[DOI]

Christopher Marquardt

CoRR, 2023

Optimal liquidation of foreign currencies when FX rates follow a generalised Ornstein-Uhlenbeck process.

[BibT_eX]

[DOI]

Linwei Li

Paul-Amaury Matt

Appl. Intell., 2023

A tailored Handwritten-Text-Recognition System for Medieval Latin.

[BibT_eX]

[DOI]

Proceedings of the Ancient Language Processing Workshop, 2023

Automatic Transcription of Handwritten Old Occitan Language.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Bootstrap inference for weighted nearest neighbors imputation.

[BibT_eX]

[DOI]

Shahla Faisal

Commun. Stat. Simul. Comput., 2022

Forecasting Foreign Exchange Rates With Parameter-Free Regression Networks Tuned By Bayesian Optimization.

[BibT_eX]

[DOI]

Linwei Li

Paul-Amaury Matt

CoRR, 2022

Marginal Effects for Non-Linear Prediction Functions.

[BibT_eX]

[DOI]

CoRR, 2022

On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis.

[BibT_eX]

[DOI]

Elisabeth Lebmeier

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Pre-trained language models evaluating themselves - A comparative study.

[BibT_eX]

[DOI]

Philipp Koch

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Benchmarking down-scaled (not so large) pre-trained language models.

[BibT_eX]

[DOI]

Patrick Schulze

CoRR, 2021

Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach.

[BibT_eX]

[DOI]

CoRR, 2021

Re-Evaluating GermEval17 Using German Pre-Trained Language Models.

[BibT_eX]

[DOI]

Alessandra Corvonato

Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, 2021

2020

On the Comparability of Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

2019

Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2014

Model selection and model averaging after multiple imputation.

[BibT_eX]

[DOI]

Michael Schomaker

Comput. Stat. Data Anal., 2014

2011

Multiple Imputation.

[BibT_eX]

[DOI]

Proceedings of the International Encyclopedia of Statistical Science, 2011

James-Stein Estimator.

[BibT_eX]

[DOI]

Proceedings of the International Encyclopedia of Statistical Science, 2011

2010

Frequentist Model Averaging with missing observations.

[BibT_eX]

[DOI]

Michael Schomaker

Alan T. K. Wan