Zobrazeno 1 - 10
of 7 602
pro vyhledávání: '"Newson, A"'
Autor:
Reme, Raphael, Newson, Alasdair, Angelini, Elsa, Olivo-Marin, Jean-Christophe, Lagache, Thibault
Accurately tracking neuronal activity in behaving animals presents significant challenges due to complex motions and background noise. The lack of annotated datasets limits the evaluation and improvement of such tracking algorithms. To address this,
Externí odkaz:
http://arxiv.org/abs/2411.09462
Autor:
Parekh, Jayneel, Bouniot, Quentin, Mozharovskyi, Pavlo, Newson, Alasdair, d'Alché-Buc, Florence
Developing inherently interpretable models for prediction has gained prominence in recent years. A subclass of these models, wherein the interpretable network relies on learning high-level concepts, are valued because of closeness of concept represen
Externí odkaz:
http://arxiv.org/abs/2407.01331
Large multimodal models (LMMs) combine unimodal encoders and large language models (LLMs) to perform multimodal tasks. Despite recent advancements towards the interpretability of these models, understanding internal representations of LMMs remains la
Externí odkaz:
http://arxiv.org/abs/2406.08074
Diffusion models are now the undisputed state-of-the-art for image generation and image restoration. However, they require large amounts of computational power for training and inference. In this paper, we propose lightweight diffusion models for ima
Externí odkaz:
http://arxiv.org/abs/2406.04206
Recent advances in the field of generative models and in particular generative adversarial networks (GANs) have lead to substantial progress for controlled image editing, especially compared with the pre-deep learning era. Despite their powerful abil
Externí odkaz:
http://arxiv.org/abs/2312.08256
Video inpainting is the task of filling a region in a video in a visually convincing manner. It is very challenging due to the high dimensionality of the data and the temporal consistency required for obtaining convincing results. Recently, diffusion
Externí odkaz:
http://arxiv.org/abs/2311.01090
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-20 (2024)
Abstract Deploying higher-capacity offshore wind turbines to meet the growing energy demand poses a significant challenge in designing their foundations. Monopiles currently constitute 80% of the foundation installations for these turbines. This stud
Externí odkaz:
https://doaj.org/article/302218bfba124797ad9f9cfc08f10eab
Publikováno v:
Population Health Metrics, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background According to the World Health Organization (WHO), mental health is ‘a state of wellbeing in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully,
Externí odkaz:
https://doaj.org/article/20ebb1c534a2441c87d520bd93139a0e
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102851- (2024)
Convolutional neural networks (CNNs) are effective tools for acoustic classification tasks such as species identification. Large datasets of labelled recordings are required to develop CNN classifiers which can be difficult to obtain, particularly if
Externí odkaz:
https://doaj.org/article/5567a7007965473f83cae50897e82943
Autor:
Rachel S. Newson, Erik Spaepen, Birong Liao, Julie Bower, Indranil Bhattacharya, Esther Artime, William Polonsky
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background The purpose of this study was to understand the healthcare provider (HCP) perspective on the extent of suboptimal insulin dosing in people with diabetes (PwD), as well as specific challenges and solutions to insulin management. Me
Externí odkaz:
https://doaj.org/article/a3861e1f049044a190b343b7e5ed4144