Zobrazeno 1 - 10
of 51 991
pro vyhledávání: '"P. A. Barnes"'
Autor:
Angdembe, Alisha, Iqbal, Wasim A, Hamad, Rebeen Ali, Casement, John, Consortium, AI-Multiply, Missier, Paolo, Reynolds, Nick, Henkin, Rafael, Barnes, Michael R
Understanding the temporal properties of longitudinal data is critical for identifying trends, predicting future events, and making informed decisions in any field where temporal data is analysed, including health and epidemiology, finance, geoscienc
Externí odkaz:
http://arxiv.org/abs/2411.03210
Autor:
Gao, Chenyu, Kim, Michael E., Ramadass, Karthik, Kanakaraj, Praitayini, Krishnan, Aravind R., Saunders, Adam M., Newlin, Nancy R., Lee, Ho Hin, Yang, Qi, Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Barnes, Lisa L., Bennett, David A., Van Schaik, Katherine D., Archer, Derek B., Hohman, Timothy J., Jefferson, Angela L., Išgum, Ivana, Moyer, Daniel, Huo, Yuankai, Schilling, Kurt G., Zuo, Lianrui, Bao, Shunxing, Khairi, Nazirah Mohd, Li, Zhiyuan, Davatzikos, Christos, Landman, Bennett A.
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting early detection and implementation of prevention strategies. Diffusion M
Externí odkaz:
http://arxiv.org/abs/2410.22454
Autor:
Gallagher-Syed, Amaya, Pontarini, Elena, Lewis, Myles J., Barnes, Michael R., Slabaugh, Gregory
This study evaluates the generalisation capabilities of state-of-the-art histopathology foundation models on out-of-distribution multi-stain autoimmune Immunohistochemistry datasets. We compare 13 feature extractor models, including ImageNet-pretrain
Externí odkaz:
http://arxiv.org/abs/2410.21560
Reinforcement learning problems often involve large action spaces arising from the simultaneous execution of multiple sub-actions, resulting in combinatorial action spaces. Learning in combinatorial action spaces is difficult due to the exponential g
Externí odkaz:
http://arxiv.org/abs/2410.21151
We remove the dependence on the `hot-spots' conjecture in two of the main theorems of the recent paper of Nickl (2024, Annals of Statistics). Specifically, we characterise the minimax convergence rates for estimation of the transition operator $P_{f}
Externí odkaz:
http://arxiv.org/abs/2410.19393
Autor:
Ullrich, Paul A., Barnes, Elizabeth A., Collins, William D., Dagon, Katherine, Duan, Shiheng, Elms, Joshua, Lee, Jiwoo, Leung, L. Ruby, Lu, Dan, Molina, Maria J., O'Brien, Travis A.
Machine learning (ML) is a revolutionary technology with demonstrable applications across multiple disciplines. Within the Earth science community, ML has been most visible for weather forecasting, producing forecasts that rival modern physics-based
Externí odkaz:
http://arxiv.org/abs/2410.19882
We present a series of 9 Doppler images of the magnetically active K component of the RS CVn-type binary SZ Psc, based on the high-resolution spectroscopic data collected from 2014 to 2018. We apply least-squares deconvolution to all spectra to extra
Externí odkaz:
http://arxiv.org/abs/2410.17497
Autor:
Battersby, Cara, Walker, Daniel L., Barnes, Ashley, Ginsburg, Adam, Lipman, Dani, Alboslani, Danya, Hatchfield, H Perry, Bally, John, Glover, Simon C. O., Henshaw, Jonathan D., Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Molinari, Sergio, Smith, Rowan, Sormani, Mattia C., Tress, Robin G., Zhang, Qizhou
The Central Molecular Zone (CMZ) is the largest reservoir of dense molecular gas in the Galaxy and is heavily obscured in the optical and near-IR. We present an overview of the far-IR dust continuum, where the molecular clouds are revealed, provided
Externí odkaz:
http://arxiv.org/abs/2410.17334
Autor:
Battersby, Cara, Walker, Daniel L., Barnes, Ashley, Ginsburg, Adam, Lipman, Dani, Alboslani, Danya, Hatchfield, H Perry, Bally, John, Glover, Simon C. O., Henshaw, Jonathan D., Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Molinari, Sergio, Smith, Rowan, Sormani, Mattia C., Tress, Robin G., Zhang, Qizhou
The Central Molecular Zone (CMZ) is the way station at the heart of our Milky Way Galaxy, connecting gas flowing in from Galactic scales with the central nucleus. Key open questions remain about its 3-D structure, star formation properties, and role
Externí odkaz:
http://arxiv.org/abs/2410.17332
Autor:
Lipman, Dani, Battersby, Cara, Walker, Daniel L., Sormani, Mattia C., Bally, John, Barnes, Ashley, Ginsburg, Adam, Glover, Simon C. O., Henshaw, Jonathan D., Hatchfield, H Perry, Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Smith, Rowan, Tress, R. G., Alboslani, Danya, Zhang, Qizhou
A comprehensive 3-D model of the central 300 pc of the Milky Way, the Central Molecular Zone (CMZ) is of fundamental importance in understanding energy cycles in galactic nuclei, since the 3-D structure influences the location and intensity of star f
Externí odkaz:
http://arxiv.org/abs/2410.17321