Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics This repository is still on progress.

In this mini-project, we aim to develop a system to analyze email interactions of users within organizations. This is to gain insights about usage patterns, discover social interactions within the ...

In this paper, we propose HyperVision, an unsupervised machine learning (ML) based malicious traffic detection system. Particularly, HyperVision is able to detect unknown patterns of encrypted ...

Ishape is based on the overlap of interaction pseudoatoms using a smooth Gaussian function, whereas Grim utilizes a standard clique detection algorithm to match interaction pattern graphs. Both tools ...

In family interactions certain predictable, consistent patterns of behavior occur, that could be either healthy or unhealthy. For example, in a household the parents make major decisions affecting all ...

In an advancement for robotics and artificial intelligence, researchers at Chongqing University of Technology, along with their international collaborators, have developed a cutting-edge method for ...