All Stories

  1. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare
  2. Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare
  3. Marginal Nodes Matter: Towards Structure Fairness in Graphs
  4. Can Data Augmentation Improve Daily Mood Prediction from Wearable Data? An Empirical Study
  5. Meta Graph Learning for Long-tail Recommendation
  6. Ontology-aware Prescription Recommendation in Treatment Pathways Using Multi-evidence Healthcare Data
  7. Harnessing Biomedical Literature to Calibrate Clinicians’ Trust in AI Decision Support Systems
  8. Data heterogeneity in healthcare machine learning models
  9. Workshop on Applied Data Science for Healthcare (DSHealth)
  10. Collaboration Equilibrium in Federated Learning
  11. Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction
  12. GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction
  13. Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility
  14. Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
  15. Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning
  16. Artificial Intelligence for Drug Discovery
  17. S-LIME
  18. Why Attentions May Not Be Interpretable?
  19. Adversarial Infidelity Learning for Model Interpretation
  20. MoFlow: An Invertible Flow Model for Generating Molecular Graphs
  21. Neural Dynamics on Complex Networks
  22. General-Purpose User Embeddings based on Mobile App Usage
  23. Recent Advances on Graph Analytics and Its Applications in Healthcare
  24. GRAPHENE
  25. Uncovering Pattern Formation of Information Flow
  26. Dynamical Origins of Distribution Functions
  27. MetaPred
  28. Learning From Networks
  29. Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
  30. Crowdsourcing for Mobile Networks and IoT
  31. Patient Subtyping via Time-Aware LSTM Networks
  32. Healthcare Data Mining with Matrix Models