Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Carlos Eduardo S. Pires"'
Publikováno v:
Data & Knowledge Engineering. 145:102180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2807e832c52428870d787f557fc6aa71
https://doi.org/10.1016/j.datak.2023.102180
https://doi.org/10.1016/j.datak.2023.102180
Publikováno v:
Anais Estendidos do XXXVI Simpósio Brasileiro de Banco de Dados (SBBD Estendido 2021).
Privacy-Preserving Record Linkage (PPRL) intends to integrate private/sensitive data from several data sources held by different parties. It aims to identify records (e.g., persons or objects) representing the same real-world entity over private data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a437d7cd6d005c92c00f2d23af2826c
https://doi.org/10.5753/sbbd_estendido.2021.18170
https://doi.org/10.5753/sbbd_estendido.2021.18170
Publikováno v:
Anais Estendidos do XXXVI Simpósio Brasileiro de Banco de Dados (SBBD Estendido 2021).
Redes neurais profundas foram aplicadas com sucesso a muitas tarefas diferentes de processamento de linguagem natural. Um modelo de rede neural que alavancou os resultados em uma ampla gama de tarefas de PNL foi o modelo BERT - uma sigla para Bidirec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aa89e7cd0dbc1514ad12b4819d687bc
https://doi.org/10.5753/sbbd_estendido.2021.18174
https://doi.org/10.5753/sbbd_estendido.2021.18174
Publikováno v:
Knowledge & Information Systems; Nov2023, Vol. 65 Issue 11, p4873-4903, 31p
Autor:
PAPADAKIS, GEORGE1 gpapadis@di.uoa.gr, SKOUTAS, DIMITRIOS2 dskoutas@imis.athena-innovation.gr, THANOS, EMMANOUIL3 emmanouil.thanos@kuleuven.be, PALPANAS, THEMIS4 themis@mi.parisdescartes.fr
Publikováno v:
ACM Computing Surveys. Mar2021, Vol. 53 Issue 2, p1-42. 42p. 6 Diagrams, 4 Charts.
Autor:
Santos, Veruska Borges, Pires, Carlos Eduardo S, Nascimento, Dimas Cassimiro, Queiroz, Andreza Raquel M de
Publikováno v:
Computer Journal; Aug2022, Vol. 65 Issue 8, p2044-2062, 19p
Publikováno v:
2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P); 1/ 1/2012, p179-190, 12p
Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of the research examines ways for improving its effectiveness and time efficiency. The initial ER methods primarily target Veracity in the context of structure
Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of the research examines ways for improving its effectiveness and time efficiency. The initial ER methods primarily target Veracity in the context of structure