Zobrazeno 1 - 10
of 1 535
pro vyhledávání: '"POLANSKÁ, A."'
We present an accelerated pipeline, based on high-performance computing techniques and normalizing flows, for joint Bayesian parameter estimation and model selection and demonstrate its efficiency in gravitational wave astrophysics. We integrate the
Externí odkaz:
http://arxiv.org/abs/2410.21076
Publikováno v:
BMC Bioinformatics, 2024, 25:354
In unforeseen situations, such as nuclear power plant's or civilian radiation accidents, there is a need for effective and computationally inexpensive methods to determine the expression level of a selected gene panel, allowing for rough dose estimat
Externí odkaz:
http://arxiv.org/abs/2406.14187
Autor:
Piras, Davide, Polanska, Alicja, Mancini, Alessio Spurio, Price, Matthew A., McEwen, Jason D.
Publikováno v:
Open Journal of Astrophysics, Vol. 7, September 5th 2024
We advocate for a new paradigm of cosmological likelihood-based inference, leveraging recent developments in machine learning and its underlying technology, to accelerate Bayesian inference in high-dimensional settings. Specifically, we combine (i) e
Externí odkaz:
http://arxiv.org/abs/2405.12965
Autor:
Polanska, Alicja, Price, Matthew A., Piras, Davide, Mancini, Alessio Spurio, McEwen, Jason D.
We present the learned harmonic mean estimator with normalizing flows - a robust, scalable and flexible estimator of the Bayesian evidence for model comparison. Since the estimator is agnostic to sampling strategy and simply requires posterior sample
Externí odkaz:
http://arxiv.org/abs/2405.05969
Autor:
Tam, Thomas Yu Chow, Sivarajkumar, Sonish, Kapoor, Sumit, Stolyar, Alisa V, Polanska, Katelyn, McCarthy, Karleigh R, Osterhoudt, Hunter, Wu, Xizhi, Visweswaran, Shyam, Fu, Sunyang, Mathur, Piyush, Cacciamani, Giovanni E., Sun, Cong, Peng, Yifan, Wang, Yanshan
With generative artificial intelligence (AI), particularly large language models (LLMs), continuing to make inroads in healthcare, it is critical to supplement traditional automated evaluations with human evaluations. Understanding and evaluating the
Externí odkaz:
http://arxiv.org/abs/2405.02559
Autor:
Kulis, Karolina, Baatout, Sarah, Tabury, Kevin, Polanska, Joanna, Benotmane, Mohammed Abderrafi
A number of studies have indicated a potential association between prenatal exposure to radiation and late mental disabilities. This is believed to be due to long-term developmental changes and functional impairment of the central nervous system foll
Externí odkaz:
http://arxiv.org/abs/2404.18660
Autor:
Götz, Michael, Weber, Christian, Binczyk, Franciszek, Polanska, Joanna, Tarnawski, Rafal, Bobek-Billewicz, Barbara, Köthe, Ullrich, Kleesiek, Jens, Stieltjes, Bram, Maier-Hein, Klaus H.
Publikováno v:
IEEE Transactions on Medical Imaging ( Volume: 35, Issue: 1, January 2016)
We propose a new method that employs transfer learning techniques to effectively correct sampling selection errors introduced by sparse annotations during supervised learning for automated tumor segmentation. The practicality of current learning-base
Externí odkaz:
http://arxiv.org/abs/2403.07434
Directional wavelet dictionaries are hierarchical representations which efficiently capture and segment information across scale, location and orientation. Such representations demonstrate a particular affinity to physical signals, which often exhibi
Externí odkaz:
http://arxiv.org/abs/2402.01282
Autor:
Oniani, David, Wu, Xizhi, Visweswaran, Shyam, Kapoor, Sumit, Kooragayalu, Shravan, Polanska, Katelyn, Wang, Yanshan
Background Large Language Models (LLMs), enhanced with Clinical Practice Guidelines (CPGs), can significantly improve Clinical Decision Support (CDS). However, methods for incorporating CPGs into LLMs are not well studied. Methods We develop three di
Externí odkaz:
http://arxiv.org/abs/2401.11120
Autor:
Jiří Volánek, Martin Valtera, Ladislav Holík, Martin Kománek, Hana Burdová, Josef Trögl, Diana Polanská Nebeská, Jitka Novotná, Pavel Samec, David Juřička
Publikováno v:
Journal of Forest Science, Vol 70, Iss 11, Pp 574-592 (2024)
Long-term human activities substantially altered floodplain regions of temperate Europe. Forest management and extensive changes in hydrology greatly affected natural floodplain soil properties, in which microbes play key roles. This study aims to as
Externí odkaz:
https://doaj.org/article/f84f197b561f4877a88b3edd683fba66
