For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...
—In this paper we study the effectiveness of two power gating methods – transistor switches and MEMS switches – in reducing the power consumption of a design with a certain t...
Microfluidic biochips are revolutionizing many areas of biochemistry and biomedical sciences. Several synthesis tools have recently been proposed for the automated design of bioch...
When applying association mining to real datasets, a major obstacle is that often a huge number of rules are generated even with very reasonable support and confidence. Among thes...
Ping Chen, Rakesh M. Verma, Janet C. Meininger, We...