Adaptive Thresholds
Adaptive Thresholds is a dynamic decision-making mechanism in threshold-based alerting systems that automatically adjusts its threshold values in response to changing data patterns, environmental conditions, or operational requirements to maintain optimal sensitivity and specificity over time.
288
Publications
15.4K
Citations
917
Authors
394
Institutions
Publications per year
2017–2026
97
Parents
288
Gérard Weisbuch, Guillaume Deffuant, Frédéric Amblard et al. · Complexity · 2002 · 449 citations
Social Sciences, Behavioral Sciences, Collective Behavior +12
1–5 of 288
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394
University of Cyprus
Nicosia, Cyprus
11 h-index
22 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
20 publications
663 citations
Wright State University
Dayton, United States
8 h-index
14 publications
772 citations
Tsinghua University
Beijing, China
7 h-index
17 publications
387 citations

University of Trieste
Trieste, Italy
6 h-index
8 publications
427 citations

Harbin Institute of Technology
Harbin, China
5 h-index
16 publications
405 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
4 h-index
10 publications
295 citations

Zhejiang University
Hangzhou, China
4 h-index
13 publications
1.3K citations
1–8 of 394
9 publications · 238 citations
9
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6 publications · 485 citations
6
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5 publications · 442 citations
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5 publications · 515 citations
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4 publications · 137 citations
4
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