Zobrazeno 1 - 10
of 26 631
pro vyhledávání: '"A. Court"'
Deep learning models have created great opportunities for data-driven fault diagnosis but they require large amount of labeled failure data for training. In this paper, we propose to use a digital twin to support developing data-driven fault diagnosi
Externí odkaz:
http://arxiv.org/abs/2411.01360
Autor:
Cheung, Matt Y., Netherton, Tucker J., Court, Laurence E., Veeraraghavan, Ashok, Balakrishnan, Guha
Uncertainty quantification is crucial to account for the imperfect predictions of machine learning algorithms for high-impact applications. Conformal prediction (CP) is a powerful framework for uncertainty quantification that generates calibrated pre
Externí odkaz:
http://arxiv.org/abs/2410.05263
Autor:
Sun, Yiran, Baroudi, Hana, Netherton, Tucker, Court, Laurence, Mawlawi, Osama, Veeraraghavan, Ashok, Balakrishnan, Guha
Computed Tomography (CT) scans are the standard-of-care for the visualization and diagnosis of many clinical ailments, and are needed for the treatment planning of external beam radiotherapy. Unfortunately, the availability of CT scanners in low- and
Externí odkaz:
http://arxiv.org/abs/2408.15118
Autor:
Court, Sara, Elsner, Micha
This work investigates the in-context learning abilities of pretrained large language models (LLMs) when instructed to translate text from a low-resource language into a high-resource language as part of an automated machine translation pipeline. We
Externí odkaz:
http://arxiv.org/abs/2406.15625
Autor:
Cheung, Matt Y, Netherton, Tucker J, Court, Laurence E, Veeraraghavan, Ashok, Balakrishnan, Guha
Recent advancements in machine learning have led to the development of novel medical imaging systems and algorithms that address ill-posed problems. Assessing their trustworthiness and understanding how to deploy them safely at test time remains an i
Externí odkaz:
http://arxiv.org/abs/2404.15274
Autor:
Gora, Caroline, Dudas, Ana, Court, Lucas, Annamneedi, Anil, Lefort, Gaëlle, Picoreti-Nakahara, Thiago-Seike, Azzopardi, Nicolas, Acquistapace, Adrien, Lainé, Anne-Lyse, Trouillet, Anne-Charlotte, Drobecq, Lucile, Pecnard, Emmanuel, Piegu, Benoit, Crépieux, Pascale, Chamero, Pablo, Pellissier, Lucie P.
Autism spectrum disorders are complex, polygenic and heterogenous neurodevelopmental conditions, imposing a substantial economic burden. Genetics are influenced by the environment, specifically the social experience during the critical neurodevelopme
Externí odkaz:
http://arxiv.org/abs/2402.10212
Autor:
Shatha Elnakib, Linnea A. Zimmerman, Bothaina Attal, Tareq Alkebsi, Aisha Aldaram, Abdullah Al Kaff, Kate Mieth, Court Robinson
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Introduction : Yemen has one of the highest rates of child marriage in the Middle East and North Africa region and is home to one of the world’s worst humanitarian crises. How the conflict and resulting displacement have impacted family fo
Externí odkaz:
https://doaj.org/article/436ca46a204b4c1e85d61463adb99bc7
Autor:
Christina Plante, Pamela M. Lee, Jillian M. Haines, O. Lynne Nelson, Stephanie E. Martinez, Michael H. Court
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 6, Pp 3206-3214 (2024)
Abstract Background Some studies in humans show that the concurrent use of clopidogrel and omeprazole decreases plasma clopidogrel active metabolite (CAM) concentrations and clopidogrel antiplatelet effects. Whether this drug interaction occurs in ca
Externí odkaz:
https://doaj.org/article/75e955cf2db746d696f3d227a8a8464c
Autor:
Wahid, Kareem A., Cardenas, Carlos E., Marquez, Barbara, Netherton, Tucker J., Kann, Benjamin H., Court, Laurence E., He, Renjie, Naser, Mohamed A., Moreno, Amy C., Fuller, Clifton D., Fuentes, David
Deep learning has significantly advanced the potential for automated contouring in radiotherapy planning. In this manuscript, guided by contemporary literature, we underscore three key insights: (1) High-quality training data is essential for auto-co
Externí odkaz:
http://arxiv.org/abs/2310.10867
Autor:
Court, Sébastien
The purpose of this paper is to address a class of hybrid optimal control problems constrained with hyperelasticity and constant global volume. This type of problems can intervene for example in the mechanical aspects of cardiac activity. The time de
Externí odkaz:
http://arxiv.org/abs/2309.12973