Contemporary work increasingly involves interacting with strangers in technology-mediated environments. In this context, we come to rely on digital artifacts to infer characterist...
N. Sadat Shami, Kate Ehrlich, Geri Gay, Jeffrey T....
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
— This research presents a novel application of Lateralization Index (LI) in support of a decision making process for the classification of subjects based on their brain activati...
Magno R. Guillen, Malek Adjouadi, Xiaozhen You, Ar...
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
The Trinity [1] spam classification system is based on a distributed hash table that is implemented using a structured peer-to-peer overlay. Such an overlay must be capable of proc...