Zobrazeno 1 - 10
of 1 418
pro vyhledávání: '"Dougherty, Edward"'
Autor:
Luo, Xihaier, McCorkle, Sean, Park, Gilchan, Lopez-Marrero, Vanessa, Yoo, Shinjae, Dougherty, Edward R., Qian, Xiaoning, Alexander, Francis J., Yoon, Byung-Jun
There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source. Understanding how gene expression is modulated after ionizing radiation exposure and investigati
Externí odkaz:
http://arxiv.org/abs/2301.01769
Autor:
Dougherty, Edward T.
Neurostimulation continues to demonstrate tremendous success as an intervention for neurodegenerative diseases, including Parkinson's disease, in addition to a range of other neurological and psychiatric disorders. In an effort to enhance the medical
Externí odkaz:
http://hdl.handle.net/10919/73350
Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups, instead of testing each individual in the population, can be more ef
Externí odkaz:
http://arxiv.org/abs/2110.02265
Autor:
Woo, Hyun-Myung, Qian, Xiaoning, Tan, Li, Jha, Shantenu, Alexander, Francis J., Dougherty, Edward R., Yoon, Byung-Jun
The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including drug discovery and materials design. However, the large size of the sea
Externí odkaz:
http://arxiv.org/abs/2109.11683
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
Classification has been a major task for building intelligent systems as it enables decision-making under uncertainty. Classifier design aims at building models from training data for representing feature-label distributions--either explicitly or imp
Externí odkaz:
http://arxiv.org/abs/2109.02150
Various real-world applications involve modeling complex systems with immense uncertainty and optimizing multiple objectives based on the uncertain model. Quantifying the impact of the model uncertainty on the given operational objectives is critical
Externí odkaz:
http://arxiv.org/abs/2010.04653
Autor:
Woo, Hyun-Myung, Qian, Xiaoning, Tan, Li, Jha, Shantenu, Alexander, Francis J., Dougherty, Edward R., Yoon, Byung-Jun
Publikováno v:
In Patterns 10 November 2023 4(11)