Threshold-based Filtering
Threshold-Based Filtering is a filtering method that belongs to the class of interactive filtering techniques, distinguished by its use of predefined threshold values to selectively include or exclude data elements based on the comparison of their associated metrics or scores against those thresholds.
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2017–2026
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Saar Cohen, Yossi Matias · 2003 · 395 citations
Ronald K. Pearson, Y. Neuvo, Jaakko Astola et al. · EURASIP Journal on Advances in Signal Processing · 2016 · 277 citations · Full text
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National Taiwan University
Taipei, Taiwan
4 h-index
11 publications
951 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
8 publications
1.1K citations

Wake Forest University
Winston-Salem, United States
3 h-index
7 publications
513 citations
University of Delaware
Newark, United States
3 h-index
4 publications
556 citations
Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences
Blacksburg, United States
3 h-index
7 publications
497 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
8 publications
178 citations

Tel Aviv University
Tel Aviv, Israel
2 h-index
4 publications
1.1K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
173 citations
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