Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Boniol, P."'
The last decade has seen the emergence of a new generation of multi-core in response to advances in machine learning, and in particular Deep Neural Network (DNN) training and inference tasks. These platforms, like the JETSON AGX XAVIER, embed several
Externí odkaz:
http://arxiv.org/abs/2406.14081
Autor:
Lesage, Benjamin, Boniol, Frédéric, Delmas, Kevin, Gauffriau, Adrien, Gonzalez, Alfonso Mascarenas, Pagetti, Claire
The emergence of Deep Neural Network (DNN) and machine learning-based applications paved the way for a new generation of hybrid hardware platforms. Hybrid platforms embed several cores and accelerators in a small package. However, in order to satisfy
Externí odkaz:
http://arxiv.org/abs/2406.12346
In recent years, smart meters have been widely adopted by electricity suppliers to improve the management of the smart grid system. These meters usually collect energy consumption data at a very low frequency (every 30min), enabling utilities to bill
Externí odkaz:
http://arxiv.org/abs/2305.10352
Autor:
Boniol, Paul, Palpanas, Themis
Publikováno v:
Proceedings of the VLDB Endowment, Volume 13, Issue 12, Pages 1821-1834, 2020
Subsequence anomaly detection in long sequences is an important problem with applications in a wide range of domains. However, the approaches proposed so far in the literature have severe limitations: they either require prior domain knowledge used t
Externí odkaz:
http://arxiv.org/abs/2207.12208
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data (SIGMOD '22), June 12--17, 2022, Philadelphia, PA, USA
Data series classification is an important and challenging problem in data science. Explaining the classification decisions by finding the discriminant parts of the input that led the algorithm to some decisions is a real need in many applications. C
Externí odkaz:
http://arxiv.org/abs/2207.12165
Autor:
Anita Pienkowska, Mathieu Ravaut, Maleyka Mammadova, Chin-Siang Ang, Hanyu Wang, Qi Chwen Ong, Iva Bojic, Vicky Mengqi Qin, Dewan Md Sumsuzzman, Onyema Ajuebor, Mathieu Boniol, Juana Paola Bustamante, James Campbell, Giorgio Cometto, Siobhan Fitzpatrick, Catherine Kane, Shafiq Joty, Josip Car
Publikováno v:
JMIR Formative Research, Vol 8, p e53574 (2024)
BackgroundTo investigate the impacts of the COVID-19 pandemic on the health workforce, we aimed to develop a framework that synergizes natural language processing (NLP) techniques and human-generated analysis to reduce, organize, classify, and analyz
Externí odkaz:
https://doaj.org/article/0c92be22d26d41a0bd097b977a88414b
Autor:
Inês Fronteira, Verona Mathews, Ranailla Lima Bandeira dos Santos, Karen Matsumoto, Woldekidan Amde, Alessandra Pereira, Ana Paula Cavalcante de Oliveira, Isabel Craveiro, Raphael Chança, Mathieu Boniol, Paulo Ferrinho, Mario Roberto Dal Poz
Publikováno v:
Human Resources for Health, Vol 22, Iss 1, Pp 1-19 (2024)
Abstract Background Health and care workers (HCW) faced the double burden of the SARS-CoV-2 pandemic: as members of a society affected by a public health emergency and as HWC who experienced fear of becoming infected and of infecting others, stigma,
Externí odkaz:
https://doaj.org/article/576e77c3ae9d4712907ce7c6cce260fa
Autor:
T Dey, M G Shah, A Baba, N Mugo, T Thommesen, V Vivilaki, M Boniol, N Alam, M Dibley, D Okoro, P Tenhoope-Bender, T Triantafyllou, E V Langlois
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 7, p e0003384 (2024)
Insufficient progress has been made to reduce morbidity and mortality for women, children and adolescents particularly in Humanitarian and Fragile settings (HFS). Midwives play a critical and unique role in ensuring communities receive quality and sa
Externí odkaz:
https://doaj.org/article/05a27bc1d5534b7caf42cb4de775d96d
Autor:
Boniol, Paul, Panagopoulos, George, Xypolopoulos, Christos, Hamdani, Rajaa El, Amariles, David Restrepo, Vazirgiannis, Michalis
Artificial Intelligence techniques are already popular and important in the legal domain. We extract legal indicators from judicial judgment to decrease the asymmetry of information of the legal system and the access-to-justice gap. We use NLP method
Externí odkaz:
http://arxiv.org/abs/2006.06251
Autor:
Maria Sarah Nabaggala, Tapas Sadasivan Nair, Marta Gacic-Dobo, Amani Siyam, Khassoum Diallo, Mathieu Boniol
Publikováno v:
International Journal for Equity in Health, Vol 21, Iss S3, Pp 1-10 (2022)
Abstract Background Health and care workers (HCWs) are at the forefront of COVID-19 response, at high risk of infection, and as a result they are a priority group for COVID-19 vaccination. This paper presents the global patterns in COVID-19 vaccinati
Externí odkaz:
https://doaj.org/article/baa49136362f4beca2623cd78154d000