Zobrazeno 1 - 10
of 10 393
pro vyhledávání: '"A O'Hagan"'
This work is concerned with conformal prediction in contemporary applications (including generative AI) where a black-box model has been trained on data that are not accessible to the user. Mirroring split-conformal inference, we design a wrapper aro
Externí odkaz:
http://arxiv.org/abs/2408.08990
Network data are observed in various applications where the individual entities of the system interact with or are connected to each other, and often these interactions are defined by their associated strength or importance. Clustering is a common ta
Externí odkaz:
http://arxiv.org/abs/2408.00651
Autor:
Singh, Angelo, O'Hagan, Joseph
Users of social virtual reality (VR) platforms often use user reviews to document incidents of witnessed and/or experienced user harassment. However, at present, research has yet to be explore utilising this data as a monitoring mechanism to identify
Externí odkaz:
http://arxiv.org/abs/2406.03994
In recent years, diffusion models (DMs) have become a popular method for generating synthetic data. By achieving samples of higher quality, they quickly became superior to generative adversarial networks (GANs) and the current state-of-the-art method
Externí odkaz:
http://arxiv.org/abs/2405.07776
In generative models with obscured likelihood, Approximate Bayesian Computation (ABC) is often the tool of last resort for inference. However, ABC demands many prior parameter trials to keep only a small fraction that passes an acceptance test. To ac
Externí odkaz:
http://arxiv.org/abs/2404.10436
Autor:
O'Hagan, Sean, Schein, Aaron
Much of social science is centered around terms like ``ideology'' or ``power'', which generally elude precise definition, and whose contextual meanings are trapped in surrounding language. This paper explores the use of large language models (LLMs) t
Externí odkaz:
http://arxiv.org/abs/2312.09203
Autor:
Jae-Hyeok Kang, Nizam Uddin, Seungmo Kim, Yi Zhao, Ki-Chun Yoo, Min-Jung Kim, Sung-Ah Hong, Sangsu Bae, Jeong-Yeon Lee, Incheol Shin, Young Woo Jin, Heather M. O’Hagan, Joo Mi Yi, Su-Jae Lee
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-18 (2024)
Abstract Triple-negative breast cancer (TNBC), the most aggressive subtype, presents a critical challenge due to the absence of approved targeted therapies. Hence, there is an urgent need to identify effective therapeutic targets for this condition.
Externí odkaz:
https://doaj.org/article/6c5a1e8d71c14b51abf556d24cb132c7
Simulating marine sponge growth helps marine biologists analyze, measure, and predict the effects that the marine environment has on marine sponges, and vice versa. This paper describes a way to simulate and grow geometric models of the marine sponge
Externí odkaz:
http://arxiv.org/abs/2308.00474
Autor:
Ross O’Hagan, MD, Samir Kamat, MD, Shira Wieder, MD, Marcel Perl, MD, Jonathan I. Silverberg, MD, PhD, MPH, Nanette B. Silverberg, MD
Publikováno v:
JAAD International, Vol 16, Iss , Pp 127-129 (2024)
Externí odkaz:
https://doaj.org/article/50f00e523a2a42728cbc2035a0173e99
We investigate the performance and characteristics of currently available VB and MCMC software to explore the practicability of available approaches and provide guidance for clinical practitioners. Two case studies are used to fully explore the metho
Externí odkaz:
http://arxiv.org/abs/2304.03733