The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
Using 180 RFID tags to track and plot locations over time, guests to an event at the San Francisco Museum of Modern Art (SFMOMA) collectively constructed a public visualization of...
Eric Paulos, Anthony Burke, Tom Jenkins, Karen Mar...
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts to provide a more effective data mining system. It ties in with the workshop go...
We apply evolutionary computation to calibrate the parameters of a morphogenesis model of Drosophila early development. The model aims to describe the establishment of the steady g...