Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Todd, Young"'
Autor:
Chinyere A. Knight, David R. Harris, Shifaa O. Alshammari, Ayele Gugssa, Todd Young, Clarence M. Lee
Publikováno v:
Frontiers in Microbiology, Vol 13 (2023)
Leishmaniasis, one of the most neglected tropical diseases (NTDs), is the third most important vector-borne disease worldwide. This disease has a global impact and severity of the infection and is greatest in the Middle East. The agent of infection i
Externí odkaz:
https://doaj.org/article/4d950624847a49eaab8d440e1b411aaf
Autor:
Eric S. Daar, Marc I. Rosen, Yan Wang, Lisa Siqueiros, Jie Shen, Mario Guerrero, Di Xiong, John Dao, Todd Young, Katya Corado, Courtney V. Fletcher, Honghu Liu
Publikováno v:
Clinical and Translational Science, Vol 13, Iss 1, Pp 189-194 (2020)
Adherence with antiretroviral therapy is important for preventing disease progression and HIV transmission. The co‐encapsulated pill sensor system sends a signal through a cutaneous patch and allows real‐time monitoring of pill ingestion. A 16‐
Externí odkaz:
https://doaj.org/article/f73fc6bb95ac4609902d10775af626a0
Autor:
M. Todd Young, Jennifer A. Doherty, Linda Coyle, Xiao-Cheng Wu, Noah Schaefferkoetter, Antoinette M. Stroup, Hong-Jun Yoon, John Gounley, Eric B. Durbin, Georgia D. Tourassi, Shang Gao, Mohammed Alawad
Publikováno v:
IEEE J Biomed Health Inform
Bidirectional Encoder Representations from Transformers (BERT) and BERT-based approaches are the current state-of-the-art in many natural language processing (NLP) tasks; however, their application to document classification on long clinical texts is
Publikováno v:
Papamarkou, T, Hinkle, J, Young, M T & Womble, D 2022, ' Challenges in Markov chain Monte Carlo for Bayesian neural networks ', Statistical Science, vol. 37, no. 3, 3, pp. 425-442 . https://doi.org/10.1214/21-STS840
Markov chain Monte Carlo (MCMC) methods have not been broadly adopted in Bayesian neural networks (BNNs). This paper initially reviews the main challenges in sampling from the parameter posterior of a neural network via MCMC. Such challenges culminat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08953d47c31ae3db95f8e291ff7bcde9
https://pure.manchester.ac.uk/ws/files/196953151/STS840_double_column.pdf
https://pure.manchester.ac.uk/ws/files/196953151/STS840_double_column.pdf
Autor:
Todd Young, Kiattisak Prathom
Publikováno v:
Journal of Biological Dynamics, Vol 15, Iss 1, Pp 455-522 (2021)
We study a population model where cells in one part of the cell cycle may affect the progress of cells in another part. If the influence, or feedback, from one part to another is negative, simulations of the model almost always result in multiple tem
Autor:
Wenxiang Sun, Todd Young
Publikováno v:
Science China Mathematics. 63:1913-1928
Consider a C1 vector field together with an ergodic invariant probability that has l nonzero Lyapunov exponents. Using orthonormal moving frames along a generic orbit we construct a linear system of l differential equations which is a linearized Liao
Publikováno v:
Journal of Parallel and Distributed Computing. 139:43-52
Significant strides have been made in supervised learning settings thanks to the successful application of deep learning. Now, recent work has brought the techniques of deep learning to bear on sequential decision processes in the area of deep reinfo
Autor:
Todd Young
Publikováno v:
Washington Post, The. 12/13/2024.
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 19:1540-1573
We study a model of the cell cycles of a large ensemble of cells that was conceived to explain the coupling between metabolism and the cell cycle observed in cell cycle related, metabolic oscillati...