Grammar-Based Sequence Recognition is a sequence pattern recognition method that uses formal grammars to model and identify structural patterns in sequential data, distinguishing itself by leveraging grammar induction or grammar parsing mechanisms to capture syntactic regularities.
6
Publications
406
Citations
21
Authors
8
Institutions
Publications per year
2017–2026
2
Parents
Publications
6
Gene Structure Prediction by Linguistic Methods
Shan Dong, David B. Searls · Genomics · 1994 · 168 citations · Full text
1–5 of 6
Authors
21
- YY
1
h-index
- XL
1
h-index
- ST
1
h-index
- SD
1
h-index
- ZJ
1
h-index
1–5 of 21
Institutions
8
Tomorrows Children’s Fund
Hackensack, United States
1 h-index
5 publications
370 citations
University of Florence
Florence, Italy
1 h-index
1 publications
12 citations
University of York
York, United Kingdom
1 h-index
2 publications
50 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
2 publications
336 citations
University of Oxford
Oxford, United Kingdom
1 h-index
1 publications
25 citations
Huazhong University of Science and Technology
Wuhan, China
1 h-index
2 publications
148 citations
Nokia (United States)
Coppell, United States
1 h-index
2 publications
232 citations
AT&T (United States)
Bedminster, United States
1 h-index
2 publications
232 citations
1–8 of 8
Venues
- Journal of Computational Biology
1 publications · 25 citations
1
h-index
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 1 publications · 74 citations
1
h-index
- IEEE Transactions on Acoustics Speech and Signal Processing
1 publications · 116 citations
1
h-index
- Genomics
1 publications · 168 citations
1
h-index
1–4