All Stories

  1. ST-EMS: A Spatio-Temporal Framework for Forecasting Emergency Medical Service Demand and Adaptive Hospital Routing
  2. Evolutionary Quadtree Pooling for Convolutional Neural Networks
  3. Advancing Certified Robustness of Explanation via Gradient Quantization
  4. Traffic Accident Hotspot Prediction Using Temporal Convolutional Networks: A Spatio-Temporal Approach
  5. A Multimodal Geo Dataset for High-resolution Precipitation Forecasting
  6. A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization
  7. Low-rank Nonnegative Tensor Decomposition in Hyperbolic Space
  8. Modeling Real Estate Dynamics Using Temporal Encoding
  9. MentalSpot
  10. Geometric Graph Representation Learning on Protein Structure Prediction
  11. TrajNet
  12. Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach
  13. Turbo-GTS
  14. Learning-Based Cleansing for Indoor RFID Data
  15. A spatial keyword evaluation framework for network-based spatial queries