We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
CAPTCHAs protect online resources and services from automated access. From an attacker’s point of view, they are typically perceived as an annoyance that prevents the mass creat...
Manuel Egele, Leyla Bilge, Engin Kirda, Christophe...
In this paper, we present a practical experiment of building a service-oriented system upon current web services technologies and bioinformatics middleware. The system allows scie...
Xiaorong Xiang, Gregory R. Madey, Jeanne Romero-Se...
Modern chip multiprocessors (CMPs) are designed to exploit both instruction-level parallelism (ILP) within processors and thread-level parallelism (TLP) within and across processo...
Changkyu Kim, Simha Sethumadhavan, M. S. Govindan,...