We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
Software developers spend significant time gaining and maintaining awareness of fellow developers' activities. FASTDash is a new interactive visualization that seeks to impro...
Jacob T. Biehl, Mary Czerwinski, Greg Smith, Georg...
The use of location-based technology to augment visitor experiences has received considerable attention over the years. In this paper, we take an alternative perspective on these ...
Kenton O'Hara, Tim Kindberg, Maxine Glancy, Lucian...
Current search tools on the Web, such as general-purpose search engines (e.g. Google) and domain-specific portals (e.g. MEDLINEplus), do not provide search procedures that guide u...
Suresh K. Bhavnani, Christopher K. Bichakjian, Tim...
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...