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The feature word weight is optimized by the Mean Decrease Accuracy (MDA) algorithm. Considering applicability, the lightweight processing is conducted through algorithm pruning and training sample pruning. Comparison with mainstream models shows simultaneous improvement in accuracy and time efficiency by our model.<\/jats:p>","DOI":"10.3233\/jifs-213022","type":"journal-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T11:44:31Z","timestamp":1657626271000},"page":"5709-5719","source":"Crossref","is-referenced-by-count":2,"title":["Lightweight fine-grained classification for scientific paper"],"prefix":"10.1177","volume":"43","author":[{"given":"Tan","family":"Yue","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zihang","family":"He","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 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