All Stories

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