Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper. The visualization consists of four components: a hierarchical view of taxonomic data in the survey, a document similarity view in the space of taxonomic classes, a network view of citations, and a new paper recommendation tool. In this paper, we will discuss these features in the context of three separate deployments of the tool.
Ronen Feldman, Martin Charles Golumbic
Ann. Math. Artif. Intell.
Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024
Joxan Jaffar
Journal of the ACM
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence