We develop a cognitive modeling approach, motivated by classic theories of knowledge
representation and judgment from psychology, for combining people's rankings of items. The …

Rank aggregation mechanisms have been used in solving problems from various domains
such as bioinformatics, natural language processing, information retrieval, etc. Metasearch …

Text databases have grown tremendously in number, size, and volume over the last few
decades. Optical Character Recognition (OCR) software is used to scan the text and make …

The present paper examines how the aggregation and feature randomization principles
underlying the algorithm RANDOM FOREST (Breiman, 2001) can be adapted to bipartite …

We apply a cognitive modeling approach to the problem of measuring expertise on rank
ordering problems. In these problems, people must order a set of items in terms of a given …

Combining multiple ranked lists of items, called voters, into a single consensus list is a
popular problem with significant implications in numerous areas, including Bioinformatics …

This paper presents methods for annotating georeferenced photos with descriptive tags,
exploring the annotations for other georeferenced photos which are available at online …

One of the main concerns in rank aggregation tasks for metasearch service is how to retrieve
and aggregate the large-scale candidate search results efficiently. Much work has been …

Over the past decades, numerous Image Quality Assessment (IQA) models have emerged,
aiming to predict the perceptual quality of images. However, individual models are often …