Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...

Abstract: In the unregulated world of Initial Coin Offerings (ICOs), hiding malicious trading is all too easy in a large-scale set of transactions. This paper uses a graph-based representation of the ...

Abstract: Unsupervised cross-sensor change detection (CSCD) is a significant yet challenging task in remote sensing, primarily due to substantial domain shifts across heterogeneous images and the ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Dagre is a JavaScript library that makes it easy to lay out directed graphs on the client-side. For more details, including examples and configuration options, please ...

Using drone imagery, New Zealand researchers are evaluating a deep learning model called BirdDetector, as it analyzes Salvin’s albatross populations across the Bounty Islands. After testing the model ...

A C program that simulates an election using the Tideman (ranked pairs) voting method, identifying the Condorcet winner if one exists. Implements graph-based logic, adjacency matrices, sorting ...