Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Erwan Pigneul"'
Autor:
Robin Allesiardo, Christophe Sauldubois, Fabrice Depaulis, Nicolas Bulteau, Frédéric Chantrel, Erwan Pigneul
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783030902865
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df02d14f152d6f247f13bc25267594e3
https://doi.org/10.1007/978-3-030-90287-2_4
https://doi.org/10.1007/978-3-030-90287-2_4
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
Training deep networks requires large volumes of data. However, for many companies developing new products, those data may not be available and public data-sets may not be adapted to their particular use-case. In this paper, we explain how we achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181b61cee5ead07f2565cbf12fa53bea
https://doi.org/10.1007/978-3-030-36808-1_27
https://doi.org/10.1007/978-3-030-36808-1_27
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319754192
ACIIDS (2)
ACIIDS
ACIIDS, 2, pp.3-12, 2018
ACIIDS (2)
ACIIDS
ACIIDS, 2, pp.3-12, 2018
This paper proposes a Deep Neural Networks (DNN) based approach for entity resolution in databases. This approach is mainly based on a record linkage process which aims to detect records that refer to the same entity. First, record pairs are represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71e935e1aa11e0c188fe5f97ae6c400f
https://doi.org/10.1007/978-3-319-75420-8_1
https://doi.org/10.1007/978-3-319-75420-8_1
Autor:
Subagdja, Budhitama1 (AUTHOR) budhitamas@smu.edu.sg, Shanthoshigaa, D.1 (AUTHOR) shanthod@smu.edu.sg, Wang, Zhaoxia1 (AUTHOR) zxwang@smu.edu.sg, Tan, Ah-Hwee1 (AUTHOR) ahtan@smu.edu.sg
Publikováno v:
ACM Computing Surveys. Jun2024, Vol. 56 Issue 6, p1-38. 38p.
Autor:
Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet
This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC'2019h
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence.The field of knowledge graphs, which allows us to model, process, and derive insights from co
The two-volume set CCIS 1142 and 1143 constitutes thoroughly refereed contributions presented at the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019.For ICONIP 2019 a total of 3
The two-volume set LNAI 10751 and 10752 constitutes the refereed proceedings of the 10th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2018, held in Dong Hoi City, Vietnam, in March 2018. The total of 133 full papers accept