We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
Handovers between shifts are known causes of preventable adverse events in hospitals. In order to gain an insight into the information transfer that occurs between shifts of senio...
This paper examines the way in which a knowledge management system (KMS)—by which we mean the people, processes and software—came into being and evolved in response to a varie...
Christine Halverson, Thomas Erickson, Mark S. Acke...
Interval data is attracting attention from the data analysis community due to its ability to describe complex concepts. Since clustering is an important data analysis tool, extendi...