Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
Abstract. Network Intrusion Detection Systems (NIDS) monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches h...
This paper deals with the geographical analysis and visualization of network marketing. The aim of the study was to develop interactive visual methods, which help to answer questi...