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Autor:
Pereira, Mayana, Pentyala, Sikha, Nascimento, Anderson, Sousa Jr., Rafael T. de, De Cock, Martine
Legal and ethical restrictions on accessing relevant data inhibit data science research in critical domains such as health, finance, and education. Synthetic data generation algorithms with privacy guarantees are emerging as a paradigm to break this
Externí odkaz:
http://arxiv.org/abs/2210.07332
Autor:
Almeida, Lucas C. de, Filho, Francisco L. de Caldas, Marques, Natália A., Prado, Daniel S. do, Mendonça, Fábio L. L. de, Sousa Jr., Rafael T. de
Publikováno v:
Information Technology and Systems
Pandemic situations require analysis, rapid decision making by managers and constant monitoring of the effectiveness of collective health-related approaches. These works can be more efficient with the help of clearer and more representative views of