Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition

no code implementations • 13 Aug 2021 • Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing

To make the previous PA focus more on dense subgraphs, we propose a multi-stage graph peeling algorithm (M-PA) that has a two-stage data screening procedure added before the previous PA. After removing vertices from the graph based on the user-defined thresholds, we can reduce the graph complexity largely and without affecting the vertices in subgraphs that we are interested in.

Lightweight Combinational Machine Learning Algorithm for Sorting Canine Torso Radiographs

1 code implementation • 22 Feb 2021 • Masuda Akter Tonima, Fatemeh Esfahani, Austin Dehart, Youmin Zhang

The veterinary field lacks automation in contrast to the tremendous technological advances made in the human medical field.

Anatomy BIG-bench Machine Learning