Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...
We studied files stored by members of a work organization for patterns of social commonality. Discovering identical or similar documents, applications, developer libraries, or oth...
John C. Tang, Clemens Drews, Mark Smith, Fei Wu, A...
We first present in this paper why peripheral awareness is important in the context of Air Traffic Controller interfaces. Controllers are often working under a high working load, ...
Jonathan J. Cadiz, Mary Czerwinski, D. Scott McCri...
Inferring orthologous and paralogous genes is an important problem in whole genomes comparisons, both for functional or evolutionary studies. In this paper, we introduce a new appr...