1 citations · 1 across the 4 of their papers we have counts for
4 papers
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting
Michael Staniek, Marius Fracarolli, Michael Hagmann +1
Machine learning for early syndrome diagnosis aims to solve the intricate task of predicting a ground truth label that most often is the outcome (effect) of a medical consensus def…
Validity problems in clinical machine learning by indirect data labeling using consensus definitions
Michael Hagmann, Shigehiko Schamoni, Stefan Riezler
We demonstrate a validity problem of machine learning in the vital application area of disease diagnosis in medicine. It arises when target labels in training data are determined b…
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts
Rebekka Hubert, Artem Sokolov, Stefan Riezler
End-to-end automatic speech translation (AST) relies on data that combines audio inputs with text translation outputs. Previous work used existing large parallel corpora of transcr…
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training
Nathaniel Berger, Miriam Exel, Matthias Huck +1
Supervised learning in Neural Machine Translation (NMT) typically follows a teacher forcing paradigm where reference tokens constitute the conditioning context in the model's predi…