All Stories

  1. Generative Adversarial Networks for Spatio-temporal Data: A Survey
  2. Translating Human Mobility Forecasting through Natural Language Generation
  3. CoSEM: Contextual and Semantic Embedding for App Usage Prediction
  4. Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth
  5. Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
  6. MoParkeR : Multi-objective Parking Recommendation
  7. DeepObfuscator
  8. Learning Spatio-Temporal Behavioural Representations for Urban Activity Forecasting
  9. Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
  10. Novel attack based on memory for Mobile Contact Tracing Applications
  11. Tool-chain for supporting Privacy Risk Assessments
  12. G-CREWE: Graph CompREssion With Embedding for Network Alignment
  13. Modelling Regional Crime Risk using Directed Graph of Check-ins
  14. Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem
  15. ESPRESSO
  16. n-Gage
  17. Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
  18. Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life
  19. What Will You Do for the Rest of the Day?
  20. Crowd-enabled Processing of Trustworthy, Privacy-Enhanced and Personalised Location Based Services with Quality Guarantee
  21. A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO 2 Sensor Data
  22. Summarizing Movement Graph for Mobility Pattern Analysis
  23. Queue Context Prediction Using Taxi Driver Knowledge
  24. Predicting the city foot traffic with pedestrian sensor data
  25. emoTicSpace