Zobrazeno 1 - 10
of 4 119
pro vyhledávání: '"Lee O"'
Autor:
Berman, David R., Leonard, Lee O.
Two players play a game by alternately splitting a surface of a compact $2$-manifold along a simple closed curve that is not null-homotopic and attaching disks to the resulting boundary; the last player who can move wins. Starting from an orientable
Externí odkaz:
http://arxiv.org/abs/2407.00816
Autor:
Lee O. Vaasjo
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
New roles for RNA in mediating gene expression are being discovered at an alarming rate. A broad array of pathways control patterning of N6-methyladenosine (m6A) methylation on RNA transcripts. This review comprehensively discusses long non-coding RN
Externí odkaz:
https://doaj.org/article/9446f93581a742f0b2ab33eccc302901
This paper investigates the impact of observations on atmospheric state estimation in weather forecasting systems using graph neural networks (GNNs) and explainability methods. We integrate observation and Numerical Weather Prediction (NWP) points in
Externí odkaz:
http://arxiv.org/abs/2403.17384
Publikováno v:
Journal of Pain Research, Vol Volume 13, Pp 2163-2168 (2020)
John Ngo,1 David Parker,2 Mathew Meroney,3 Jasmine Mitchell,2 Oscar Veloz,4 Oliver Lee,5 Katherine A Cunningham,2 Denise Wilkes1 1Department of Anesthesiology and Pain Management, University of Texas Medical Branch, Galveston, TX, USA; 2Center for Ad
Externí odkaz:
https://doaj.org/article/35241ee450bb40bfa2efcb2ce9be887e
The impact of meteorological observations on weather forecasting varies with sensor type, location, time, and other environmental factors. Thus, quantitative analysis of observation impacts is crucial for effective and efficient development of weathe
Externí odkaz:
http://arxiv.org/abs/2402.14861
Autor:
Hoang, Van Thuy, Lee, O-Joun
The transformer architecture has shown remarkable success in various domains, such as natural language processing and computer vision. When it comes to graph learning, transformers are required not only to capture the interactions between pairs of no
Externí odkaz:
http://arxiv.org/abs/2401.16176
Autor:
Hoang, Van Thuy, Lee, O-Joun
This study utilizes community structures to address node degree biases in message-passing (MP) via learnable graph augmentations and novel graph transformers. Recent augmentation-based methods showed that MP neural networks often perform poorly on lo
Externí odkaz:
http://arxiv.org/abs/2312.16788
Publikováno v:
Viruses, Vol 13, Iss 8, p 1611 (2021)
We report the first emaravirus on an endemic plant of Aotearoa New Zealand that is, to the best of our knowledge, the country’s first endemic virus characterised associated with an indigenous plant. The new-to-science virus was identified in the en
Externí odkaz:
https://doaj.org/article/d0f12f86f3a040eea625780d313aaaf5
Autor:
Hoang, Van Thuy, Nguyen, Sang Thanh, Lee, Sangmyeong, Lee, Jooho, Nguyen, Luong Vuong, Lee, O-Joun
Knowledge graph (KG) embedding has been used to benefit the diagnosis of animal diseases by analyzing electronic medical records (EMRs), such as notes and veterinary records. However, learning representations to capture entities and relations with li
Externí odkaz:
http://arxiv.org/abs/2309.03219
Autor:
Hoang, Van Thuy, Lee, O-Joun
Graph representation learning (GRL) methods, such as graph neural networks and graph transformer models, have been successfully used to analyze graph-structured data, mainly focusing on node classification and link prediction tasks. However, the exis
Externí odkaz:
http://arxiv.org/abs/2308.09517