Adaptive Detection Systems
Adaptive Detection Systems is a computational framework in money laundering detection that dynamically updates its analytical models and decision rules in response to evolving transaction patterns and emerging typologies, thereby enhancing detection accuracy over time through continuous learning from new data.
222
Publications
10.7K
Citations
514
Authors
260
Institutions
Publications per year
2017–2026
60
Parents
222
Adaptive impulse detection using center-weighted median filters
T. Chen, Hong Ren Wu · IEEE Signal Processing Letters · 2001 · 716 citations
1–5 of 222
514
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260

Chinese Academy of Sciences
Beijing, China
16 h-index
43 publications
2K citations

University of Naples Federico II
Naples, Italy
16 h-index
29 publications
2.5K citations

University of Salento
Lecce, Italy
13 h-index
24 publications
1.6K citations
Institute of Acoustics
Beijing, China
13 h-index
34 publications
1.6K citations

Xidian University
Xi'an, China
12 h-index
36 publications
1.6K citations
University Niccolò Cusano
Rome, Italy
9 h-index
9 publications
522 citations
MIT Lincoln Laboratory
Lexington, United States
7 h-index
8 publications
532 citations

University of Electronic Science and Technology of China
Chengdu, China
7 h-index
27 publications
680 citations
1–8 of 260
34 publications · 2.4K citations
27
h-index
19 publications · 1.5K citations
18
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17 publications · 1.3K citations
13
h-index
10 publications · 259 citations
9
h-index
8 publications · 271 citations
8
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1–5