Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mottin, Kevin"'
Publikováno v:
In Machine Learning and Knowledge Discovery in Databases: Research Track. pp. 38-54. vol 14169. Springer (2023)
The deployment of Deep Learning (DL) models is still precluded in those contexts where the amount of supervised data is limited. To answer this issue, active learning strategies aim at minimizing the amount of labelled data required to train a DL mod
Externí odkaz:
http://arxiv.org/abs/2110.08265
Autor:
Betti, Alessandro, Ciravegna, Gabriele, Gori, Marco, Melacci, Stefano, Mottin, Kevin, Precioso, Frédéric
Publikováno v:
Intelligenza Artificiale; October 2024, Vol. 18 Issue: 2 p301-311, 11p
The deployment of Deep Learning (DL) models is still precluded in those contexts where the amount of supervised data is limited. To answer this issue, active learning strategies aim at minimizing the amount of labelled data required to train a DL mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a259efa443b33f3fad3c70321deea53b
https://hal.science/hal-03526510/document
https://hal.science/hal-03526510/document
The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.The 196 papers w
This book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 – Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6–10, 2023.The 33 full papers included in this book w