11 citations · 11 across the 6 of their papers we have counts for
7 papers
Training and Evaluation of Guideline-Based Medical Reasoning in LLMs
Michael Staniek, Artem Sokolov, Stefan Riezler
Machine learning for early prediction in medicine has recently shown breakthrough performance, however, the focus on improving prediction accuracy has led to a neglect of faithful…
Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting
Marius Fracarolli, Michael Staniek, Stefan Riezler
Balancing strong privacy guarantees with high predictive performance is critical for time series forecasting (TSF) tasks involving Electronic Health Records (EHR). In this study, w…
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Michael Hagmann, Michael Staniek, Stefan Riezler
This work investigates whether time series of natural phenomena can be understood as being generated by sequences of latent states which are ordered in systematic and regular ways.…
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…
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
Michael Staniek, Raphael Schumann, Maike Züfle +1
We present Text-to-OverpassQL, a task designed to facilitate a natural language interface for querying geodata from OpenStreetMap (OSM). The Overpass Query Language (OverpassQL) al…
Error-Aware Interactive Semantic Parsing of OpenStreetMap
Michael Staniek, Stefan Riezler
In semantic parsing of geographical queries against real-world databases such as OpenStreetMap (OSM), unique correct answers do not necessarily exist. Instead, the truth might be l…
Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting
Maria Becker, Michael Staniek, Vivi Nastase +1
Commonsense knowledge relations are crucial for advanced NLU tasks. We examine the learnability of such relations as represented in CONCEPTNET, taking into account their specific p…