All Stories

  1. Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multicancer Cohort
  2. Artificial intelligence-enabled electrocardiography to predict impending episodes of ventricular tachycardia in individuals under continuous heart rhythm monitoring
  3. X4FL: Explainability for Federated Learning in ICU Mortality Prediction
  4. Predicting Sepsis Onset with Deep Federated Learning
  5. The Impact of Climate Change on the Mental Health of Populations at Disproportionate Risk of Health Impacts and Inequities: A Rapid Scoping Review of Reviews
  6. M-ClustEHR: A multimodal clustering approach for electronic health records
  7. M-Clustehr: A Multimodal Clustering Approach for Electronic Health Records
  8. Counterfactual Explanations for Time Series Forecasting
  9. ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces
  10. Early prediction of the risk of ICU mortality with Deep Federated Learning
  11. Predicting Drug Treatment for Hospitalized Patients with Heart Failure
  12. FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
  13. Understanding peace through the world news
  14. Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors
  15. JUICE: JUstIfied Counterfactual Explanations
  16. Predicting seasonal influenza using supermarket retail records
  17. Sentiment Nowcasting During the COVID-19 Pandemic
  18. Estimating countries’ peace index through the lens of the world news as monitored by GDELT
  19. Measuring objective and subjective well-being: dimensions and data sources
  20. A supervised approach for intra-/inter-community interaction prediction in dynamic social networks
  21. Location-Aware Tag Recommendations for Flickr