Zobrazeno 1 - 10
of 4 225
pro vyhledávání: '"J. Shane"'
Line charts are a valuable tool for data analysis and exploration, distilling essential insights from a dataset. However, access to the underlying dataset behind a line chart is rarely readily available. In this paper, we explore a novel dataset disc
Externí odkaz:
http://arxiv.org/abs/2408.09506
Autor:
Wang, Tingting, Huang, Shixun, Bao, Zhifeng, Culpepper, J. Shane, Dedeoglu, Volkan, Arablouei, Reza
In this paper, given a user's query set and a budget limit, we aim to help the user assemble a set of datasets that can enrich a base dataset by introducing the maximum number of distinct tuples (i.e., maximizing distinctiveness). We prove this probl
Externí odkaz:
http://arxiv.org/abs/2401.00659
While in-memory learned indexes have shown promising performance as compared to B+-tree, most widely used databases in real applications still rely on disk-based operations. Based on our experiments, we observe that directly applying the existing lea
Externí odkaz:
http://arxiv.org/abs/2306.02604
Although many updatable learned indexes have been proposed in recent years, whether they can outperform traditional approaches on disk remains unknown. In this study, we revisit and implement four state-of-the-art updatable learned indexes on disk, a
Externí odkaz:
http://arxiv.org/abs/2305.01237
Autor:
Madeline H. Garvey, Tiffany Nash, J. Shane Kippenhan, Philip Kohn, Carolyn B. Mervis, Daniel P. Eisenberg, Jean Ye, Michael D. Gregory, Karen F. Berman
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Understanding neurogenetic mechanisms underlying neuropsychiatric disorders such as schizophrenia and autism is complicated by their inherent clinical and genetic heterogeneity. Williams syndrome (WS), a rare neurodevelopmental condition in
Externí odkaz:
https://doaj.org/article/c13498acbf25494da707b14cb8b122fd
Autor:
Shau-Ming Wei, Michael D. Gregory, Tiffany Nash, Andrea de Abreu e Gouvêa, Carolyn B. Mervis, Katherine M. Cole, Madeline H. Garvey, J. Shane Kippenhan, Daniel P. Eisenberg, Bhaskar Kolachana, Peter J. Schmidt, Karen F. Berman
Publikováno v:
iScience, Vol 27, Iss 3, Pp 109113- (2024)
Summary: Pubertal timing, including age at menarche (AAM), is a heritable trait linked to lifetime health outcomes. Here, we investigate genetic mechanisms underlying AAM by combining genome-wide association study (GWAS) data with investigations of t
Externí odkaz:
https://doaj.org/article/5dfc18eed7bb45aeb146d7a4022ab560
Traffic bottlenecks are a set of road segments that have an unacceptable level of traffic caused by a poor balance between road capacity and traffic volume. A huge volume of trajectory data which captures real-time traffic conditions in road networks
Externí odkaz:
http://arxiv.org/abs/2107.12948
Autor:
Wei, Shau-Ming, Gregory, Michael D., Nash, Tiffany, de Abreu e Gouvêa, Andrea, Mervis, Carolyn B., Cole, Katherine M., Garvey, Madeline H., Kippenhan, J. Shane, Eisenberg, Daniel P., Kolachana, Bhaskar, Schmidt, Peter J., Berman, Karen F.
Publikováno v:
In iScience 15 March 2024 27(3)
Autor:
Luo, Hui, Zhou, Jingbo, Bao, Zhifeng, Li, Shuangli, Culpepper, J. Shane, Ying, Haochao, Liu, Hao, Xiong, Hui
Publikováno v:
SIGIR Conference (2020) 781-790
Existing spatial object recommendation algorithms generally treat objects identically when ranking them. However, spatial objects often cover different levels of spatial granularity and thereby are heterogeneous. For example, one user may prefer to b
Externí odkaz:
http://arxiv.org/abs/2101.02969
Publikováno v:
Fire, Vol 7, Iss 7, p 227 (2024)
Fire models predict fire behavior and effects. However, there is a need to know how confident users can be in forecasts. This work developed a probabilistic methodology based on ensemble simulations that incorporated uncertainty in weather, fuel load
Externí odkaz:
https://doaj.org/article/4f5c0bd8524a4f16ad4b90c8e2af4e85