11 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
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…