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My main research goal focuses on an under-investigated data engineering technique, but whose potential is enormous in the current scenario known as Instance Selection (IS). The IS goal is to reduce the training set size by removing noisy or redundant instances while maintaining the effectiveness of the trained models and reducing the training process cost.
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论文共 19 篇作者统计合作学者相似作者
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ACM Computing Surveysno. 13S (2023): 1-52
PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023pp.665-674, (2023)
WebMedia '23: Proceedings of the 29th Brazilian Symposium on Multimedia and the Webpp.110-118, (2023)
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Information Processing & Managementno. 4 (2023): 103336-103336
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Welton Santos,Washington Cunha,Celso França, Guilherme Fonseca,Sérgio D. Canuto, Leonardo Rocha ,Marcos André Gonçalves
SBBDpp.408-413, (2023)
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Antônio Pereira De Souza Júnior,Pablo Cecilio,Felipe Viegas,Washington Cunha, Elisa Tuler de Albergaria,Leonardo Chaves Dutra da Rocha
Anais Estendidos do XXXVI Simpósio Brasileiro de Banco de Dados (SBBD Estendido 2021) (2021)
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