Relevance

Known as: Relevancy, Pertinence, Pertinent 
Relevance is the concept of one topic being connected to another topic in a way that makes it useful to consider the first topic when considering the… (More)
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Papers overview

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Review
2017
Review
2017
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical… (More)
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Review
2017
Review
2017
We review the most recent advanced concepts and methods employed in the cutting-edge spectrally efficient coherent fiber-optic… (More)
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Highly Cited
2009
Highly Cited
2009
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used… (More)
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Highly Cited
2005
Highly Cited
2005
Feature selection is an important problem for pattern classification systems. We study how to select good features according to… (More)
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Highly Cited
2004
Highly Cited
2004
Feature selection is applied to reduce the number of feature s in many applications where data has hundreds or thousands of… (More)
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Highly Cited
2003
Highly Cited
2003
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with… (More)
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Highly Cited
2003
Highly Cited
2003
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However… (More)
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Highly Cited
2001
Highly Cited
2001
We explore the relation between classical probabilistic models of information retrieval and the emerging language modeling… (More)
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Highly Cited
1999
Highly Cited
1999
This commentary discusses why most IS academic research today lacks relevance to practice and suggests tactics, procedures, and… (More)
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