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pro vyhledávání: '"Gray, Kathryn P"'
Autor:
Gray, Kathryn, Bell, Brian, Sieper, Diana, Kobourov, Stephen, Schreiber, Falk, Klein, Karsten, Hong, Seokhee
This paper aims to develop a mathematical foundation to model knitting with graphs. We provide a precise definition for knit objects with a knot theoretic component and propose a simple undirected graph, a simple directed graph, and a directed multig
Externí odkaz:
http://arxiv.org/abs/2407.00511
Knitting, an ancient fiber art, creates a structured fabric consisting of loops or stitches. Publishing hand knitting patterns involves lengthy testing periods and numerous knitters. Modeling knitting patterns with graphs can help expedite error dete
Externí odkaz:
http://arxiv.org/abs/2406.13800
Autor:
Gray, Kathryn, Li, Mingwei, Ahmed, Reyan, Rahman, Md. Khaledur, Azad, Ariful, Kobourov, Stephen, Börner, Katy
Large tree structures are ubiquitous and real-world relational datasets often have information associated with nodes (e.g., labels or other attributes) and edges (e.g., weights or distances) that need to be communicated to the viewers. Yet, scalable,
Externí odkaz:
http://arxiv.org/abs/2305.09925
Autor:
Brewster, Ryan C.L., Azad, Amee D., Acosta, Keith, Starmer, Amy, Sprecher, Eli, Rea, Corinna, Gray, Kathryn P., Regan, Shannon, Wilson, Joseph, Bayuh, Frehiwot, Buncher, Noah, Hauptman, Marissa
Publikováno v:
In Academic Pediatrics July 2024 24(5):810-814
Evolving trees arise in many real-life scenarios from computer file systems and dynamic call graphs, to fake news propagation and disease spread. Most layout algorithms for static trees do not work well in an evolving setting (e.g., they are not desi
Externí odkaz:
http://arxiv.org/abs/2106.08843
Akademický článek
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Human subject studies that map-like visualizations are as good or better than standard node-link representations of graphs, in terms of task performance, memorization and recall of the underlying data, and engagement [SSKB14, SSKB15]. With this in mi
Externí odkaz:
http://arxiv.org/abs/1906.05996
Detecting anomalous activity in human mobility data has a number of applications including road hazard sensing, telematic based insurance, and fraud detection in taxi services and ride sharing. In this paper we address two challenges that arise in th
Externí odkaz:
http://arxiv.org/abs/1809.02728
Autor:
Allende-Richter, Sophie, Benitez, Ashley D., Ramirez, Melanie, Rivera, William, Liu, Shanshan, Gray, Kathryn P., Bourgeois, Fabienne
Publikováno v:
In Academic Pediatrics February 2023
Akademický článek
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