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pro vyhledávání: '"P Fehervari"'
Autor:
Luo, Kai, Shen, Tianshu, Yao, Lan, Wu, Ga, Liblong, Aaron, Fehervari, Istvan, An, Ruijian, Ahmed, Jawad, Mishra, Harshit, Pujari, Charu
Within-basket recommendation (WBR) refers to the task of recommending items to the end of completing a non-empty shopping basket during a shopping session. While the latest innovations in this space demonstrate remarkable performance improvement on b
Externí odkaz:
http://arxiv.org/abs/2401.16433
The commercial introduction of a novel electronic device is often preceded by a lengthy material optimization phase devoted to the suppression of device noise as much as possible. The emergence of novel computing architectures, however, triggers a pa
Externí odkaz:
http://arxiv.org/abs/2307.12111
Self-supervision has shown outstanding results for natural language processing, and more recently, for image recognition. Simultaneously, vision transformers and its variants have emerged as a promising and scalable alternative to convolutions on var
Externí odkaz:
http://arxiv.org/abs/2201.08951
Autor:
Anuja Tulip Mitra, Bibek Das, Khalid Maher Sarraf, Martha Ford-Adams, Matyas Fehervari, Hutan Ashrafian
Publikováno v:
EClinicalMedicine, Vol 69, Iss , Pp 102462- (2024)
Summary: Background: Childhood obesity is a pressing health crisis of epidemic proportions. Bariatric surgery (BS) is an effective weight loss solution however its role in the paediatric population is contentious owing to the paucity of weight specif
Externí odkaz:
https://doaj.org/article/ad2d7feadaae4cb6ac6cd2aebd4fa86e
Publikováno v:
Neural Information Processing Systems (NeurIPS Self-Supervision Workshop 2020)
Self-supervised representation learning has seen remarkable progress in the last few years. More recently, contrastive instance learning has shown impressive results compared to its supervised learning counterparts. However, even with the ever increa
Externí odkaz:
http://arxiv.org/abs/2012.00868
Autor:
Fehervari, Istvan, Macedo, Ives
Recent works have shown that deep metric learning algorithms can benefit from weak supervision from another input modality. This additional modality can be incorporated directly into the popular triplet-based loss function as distances. Also recently
Externí odkaz:
http://arxiv.org/abs/2006.14693
Deep metric learning has gained promising improvement in recent years following the success of deep learning. It has been successfully applied to problems in few-shot learning, image retrieval, and open-set classifications. However, measuring the con
Externí odkaz:
http://arxiv.org/abs/2006.04935
Akademický článek
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Akademický článek
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Autor:
Daniele Ghezzi, Gianmarco Mangiaterra, Arianna Scardino, Mauro Fehervari, Mauro Magnani, Barbara Citterio, Emanuela Frangipani
Publikováno v:
PLoS ONE, Vol 19, Iss 9, p e0309971 (2024)
Microbiologically Influenced Corrosion (MIC) is one of the main threats for marine infrastructures, leading to severe safety and environmental risks associated with structural failures and/or leakages of dangerous fluids, together with potential huge
Externí odkaz:
https://doaj.org/article/6a986b0be34a44438910675ddc307b20