Michael Hagmann

According to our database, Michael Hagmann authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting.

Michael Staniek, Marius Fracarolli, Michael Hagmann, Stefan Riezler

CoRR, 2024

2023

Comprehensive Evaluation of Machine Learning Experiments: Algorithm Comparison, Algorithm Performance and Inferential Reproducibility.

Michael Hagmann

PhD thesis, 2023

Validity problems in clinical machine learning by indirect data labeling using consensus definitions.

Michael Hagmann, Shigehiko Schamoni, Stefan Riezler

CoRR, 2023

Towards Inferential Reproducibility of Machine Learning Research.

Michael Hagmann, Stefan Riezler

CoRR, 2023

Towards Inferential Reproducibility of Machine Learning Research.

Michael Hagmann, Philipp Meier, Stefan Riezler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis.

Shigehiko Schamoni, Michael Hagmann, Stefan Riezler

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science

Stefan Riezler, Michael Hagmann

Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02183-1, 2021

False perfection in machine prediction: Detecting and assessing circularity problems in machine learning.

Michael Hagmann, Stefan Riezler

CoRR, 2021