All Stories

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