Salient Information Selection
Salient Information Selection is the cognitive process of identifying and prioritizing the most relevant and central elements within a text or discourse, distinguishing it from peripheral or redundant details through its focus on conceptual significance and contribution to the overall main idea.
361
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24K
Citations
1K
Authors
452
Institutions
Publications per year
2017–2026
112
Parents
361
Information-Based Objective Functions for Active Data Selection
David Mackay · Neural Computation · 1992 · 1.3K citations
The Seductive Allure of Neuroscience Explanations
Deena Skolnick Weisberg, Frank C. Keil, Joshua Goodstein et al. · Journal of Cognitive Neuroscience · 2007 · 1.1K citations · Full text
Learning in the Frequency Domain
Kai Xu, Minghai Qin, Fei Sun et al. · 2020 · 524 citations
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452
Stanford University
Stanford, United States
8 h-index
11 publications
980 citations
University College London
London, United Kingdom
7 h-index
17 publications
2.6K citations
University of Michigan
Ann Arbor, United States
6 h-index
11 publications
292 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
7 publications
290 citations
University of Oxford
Oxford, United Kingdom
6 h-index
9 publications
912 citations
University of Zurich
Zurich, Switzerland
5 h-index
8 publications
199 citations

Birkbeck, University of London
London, United Kingdom
5 h-index
8 publications
801 citations

Johns Hopkins University
Baltimore, United States
5 h-index
8 publications
1.1K citations
1–8 of 452
Repository · 10 publications · 201 citations
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9 publications · 1.3K citations
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8 publications · 1.7K citations
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6 publications · 463 citations
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6 publications · 289 citations
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