Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
There is a lack of tools for exploring large non-textual collections. One challenge is the manual effort required to add metadata to these collections. In this paper, we propose a...
This is the first paper on textual case-based reasoning to employ collective classification, a methodology for simultaneously classifying related cases that has consistently attai...
Protein function prediction is an active area of research in bioinformatics. And yet, transfer of annotation on the basis of sequence or structural similarity remains widely used ...
This paper presents methods for collecting and analyzing physiological and biomechanical data during recreational runs in order to classify an athlete's perceived fatigue sta...