We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
Recent work on information integration has yielded novel and efficient solutions for gathering data from the World Wide Web. However, there has been little attention given to the ...
Greg Barish, Dan DiPasquo, Craig A. Knoblock, Stev...
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...