In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context o...
Yvonne Rogers, Kay Connelly, Lenore Tedesco, Willi...
— This study improves SOM with False-Neighbor degree between neurons (FN-SOM) which solves some problems of the original FN-SOM. The improved FN-SOM changes the neighborhood rela...
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...