papers
Publications (3)
cs.LG2023
Improving performance of heart rate time series classification by grouping subjects
Michael Beekhuizen, Arman Naseri, David Tax +2
Unlike the more commonly analyzed ECG or PPG data for activity classification, heart rate time series data is less detailed, often noisier and can contain missing data points. Usin…
q-bio.QM2024
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning
Pedro Mateus, Swier Garst, Jing Yu +19
Biological age scores are an emerging tool to characterize aging by estimating chronological age based on physiological biomarkers. Various scores have shown associations with agin…
cs.LG2024
Federated K-means Clustering
Swier Garst, Marcel Reinders
Federated learning is a technique that enables the use of distributed datasets for machine learning purposes without requiring data to be pooled, thereby better preserving privacy…