All Stories

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