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Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories., , , , , , и . IEEE J. Biomed. Health Informatics, 23 (6): 2220-2229 (2019)Involving users in the gestural language definition process for the NInA framework., , , , , , и . IHC, стр. 280-283. Brazilian Computer Society / ACM, (2013)Combine-and-conquer: improving the diversity in similarity search through influence sampling., , , , , и . SAC, стр. 994-999. ACM, (2015)Efficient Self-similarity Range Wide-joins Fostering Near-duplicate Image Detection in Emergency Scenarios., , , , и . ICEIS (1), стр. 81-91. SciTePress, (2016)Parameter-free and domain-independent similarity search with diversity., , , , и . SSDBM, стр. 5:1-5:12. ACM, (2013)Efficiently Indexing Multiple Repositories of Medical Image Databases., , , , , и . CBMS, стр. 286-291. IEEE Computer Society, (2017)On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations., , , , , , , , , и 2 other автор(ы). ICEIS (1), стр. 119-126. SciTePress, (2016)Evaluating the Diversification of Similarity Query Results., , , , , и . J. Inf. Data Manag., 4 (3): 188-203 (2013)Diversity in Similarity Joins., , , , и . SISAP, том 9371 из Lecture Notes in Computer Science, стр. 42-53. Springer, (2015)MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases., , , , , и . ICCS (4), том 13353 из Lecture Notes in Computer Science, стр. 653-667. Springer, (2022)