MedioVis is a visual information seeking system which was designed especially for library data. The objective target was to create a system which simplifies and optimizes the userā...
The Bag of Visual Words (BoV) paradigm has successfully been applied to image content analysis tasks such as image classiļ¬cation and object detection. The basic BoV approach ove...
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
Objective The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of...
James G. Mork, Olivier Bodenreider, Dina Demner-Fu...
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...