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…
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
Yaoxian Song, Penglei Sun, Piaopiao Jin +7
Robotic grasping is a fundamental ability for a robot to interact with the environment. Current methods focus on how to obtain a stable and reliable grasping pose in object level,…