Zobrazeno 1 - 10
of 1 429
pro vyhledávání: '"Teare, P."'
Autor:
Gema, Aryo Pradipta, Jin, Chen, Abdulaal, Ahmed, Diethe, Tom, Teare, Philip, Alex, Beatrice, Minervini, Pasquale, Saseendran, Amrutha
Large Language Models (LLMs) often hallucinate, producing unfaithful or factually incorrect outputs by misrepresenting the provided context or incorrectly recalling internal knowledge. Recent studies have identified specific attention heads within th
Externí odkaz:
http://arxiv.org/abs/2410.18860
Autor:
Kim, Seunghoi, Jin, Chen, Diethe, Tom, Figini, Matteo, Tregidgo, Henry F. J., Mullokandov, Asher, Teare, Philip, Alexander, Daniel C.
Recent developments in diffusion models have advanced conditioned image generation, yet they struggle with reconstructing out-of-distribution (OOD) images, such as unseen tumors in medical images, causing "image hallucination" and risking misdiagnosi
Externí odkaz:
http://arxiv.org/abs/2404.05980
Textural Inversion, a prompt learning method, learns a singular text embedding for a new "word" to represent image style and appearance, allowing it to be integrated into natural language sentences to generate novel synthesised images. However, ident
Externí odkaz:
http://arxiv.org/abs/2310.12274
Supervised training of deep learning models for medical imaging applications requires a significant amount of labeled data. This is posing a challenge as the images are required to be annotated by medical professionals. To address this limitation, we
Externí odkaz:
http://arxiv.org/abs/2309.11899
Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability of the imputation is of great importance. Currently, there is no canon
Externí odkaz:
http://arxiv.org/abs/2303.17893
Autor:
Boogyung Seo, William Rioux, Adrian Teare, Nathan Rider, Stephanie Jones, Pamela Taplay, S. Monty Ghosh
Publikováno v:
Harm Reduction Journal, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Background Supervised consumption sites (SCS) and overdose prevention sites (OPS) have been implemented across Canada to mitigate harms associated with illicit substance use. Despite their successes, they still contend with challenges that l
Externí odkaz:
https://doaj.org/article/a504e49ce6394922a09aaa346248a7ed
Autor:
Madeline Dougherty, Tamara Tompkins, Elaine Zibrowski, Jesse Cram, Maureen C Ashe, Le-Tien Bhaskar, Kiffer George Card, Christina Godfrey, Paul Hebert, Ron Lacombe, Caitlin Muhl, Kate Mulligan, Gillian Mulvale, Michelle L A Nelson, Myrna Norman, Bobbi Symes, Gary Teare, Vivian Welch, Anita Kothari
Publikováno v:
JMIR Research Protocols, Vol 13, p e57062 (2024)
BackgroundSocial prescribing (SP) takes a holistic approach to health by linking clients from clinical settings to community programs to address their nonmedical needs. The emerging evidence base for SP demonstrates variability in the design and impl
Externí odkaz:
https://doaj.org/article/6fa532d38382413283fbde1a432bc05e
Autor:
Shadbahr, Tolou, Roberts, Michael, Stanczuk, Jan, Gilbey, Julian, Teare, Philip, Dittmer, Sören, Thorpe, Matthew, Torne, Ramon Vinas, Sala, Evis, Lio, Pietro, Patel, Mishal, Collaboration, AIX-COVNET, Rudd, James H. F., Mirtti, Tuomas, Rannikko, Antti, Aston, John A. D., Tang, Jing, Schönlieb, Carola-Bibiane
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missing values are typically imputed using established methods, followed by
Externí odkaz:
http://arxiv.org/abs/2206.08478
Autor:
Lindsay Pennington, Catherine Exley, Dawn Teare, Jeremy R Parr, Christopher Morris, Shona Haining, Chloe Main, Laura Gray, Ge Yu, Amanda Allard, Philip Heslop, Siân Russell, Sara Carr, Hannah Merrick, Helen Driver, Lily Potts, Vicki Grahame, Lesley Platts, Kulwinder Bola
Publikováno v:
BMJ Open, Vol 14, Iss 8 (2024)
Objectives To understand how health, education and social care services for disabled children changed during the COVID-19 pandemic, what did or did not work well and what the impacts of service changes were on both professionals and families.Design Q
Externí odkaz:
https://doaj.org/article/d47f5ebb55ab48de812e80a9b1a9f811
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Screening, brief intervention, and referral (SBIR) is an evidence-based, comprehensive health promotion approach commonly implemented to reduce alcohol and substance use. Implementation research on SBIR demonstrate that patients f
Externí odkaz:
https://doaj.org/article/c19623fdcacf4d648351810830ab246a