All Stories

  1. Modelling Concept Drift in Dynamic Data Streams for Recommender Systems
  2. Where Do We Go From Here? Location Prediction from Time-Evolving Markov Models
  3. Detecting and Explaining Anomalies in the Air Production Unit of a Train
  4. Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond
  5. Estimating Instantaneous Vehicle Emissions
  6. An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance.
  7. A new self-organizing map based algorithm for multi-label stream classification
  8. Detecting abnormal behaviors from high-speed data
  9. Fraud detection using heavy hitters
  10. The search of conditional outliers
  11. IoT Big Data Stream Mining
  12. Clustering data streams using a forgetful neural model
  13. Sampling massive streaming call graphs
  14. Visualization of evolving large scale ego-networks
  15. Forgetting methods for incremental matrix factorization in recommender systems
  16. Collaborative filtering with recency-based negative feedback
  17. A survey on concept drift adaptation