11 citations · 20 across the 7 of their papers we have counts for
3 papers · 1 filter
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Songyu Ke, Ting Li, Li Song +4
Accurate acquisition of crowd flow at Points of Interest (POIs) is pivotal for effective traffic management, public service, and urban planning. Despite this importance, due to the…
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva +3
The need for more usable and explainable machine learning models in healthcare increases the importance of developing and utilizing causal discovery algorithms, which aim to discov…
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
Yu Zheng, Zhangxuan Dang, Chunlei Peng +2
Network traffic classification is the basis of many network security applications and has attracted enough attention in the field of cyberspace security. Existing network traffic c…