Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Du Xiaojing"'
Autor:
Duan, Qiao, Li, Qiong, Conselice, Christopher J., Harvey, Thomas, Austin, Duncan, Adams, Nathan J., Ferreira, Leonardo, Duncan, Kenneth J., Trussler, James, Pascalau, Robert G., Windhorst, Rogier A., Holwerda, Benne W., Broadhurst, Thomas J., Coe, Dan, Cohen, Seth H., Du, Xiaojing, Driver, Simon P., Frye, Brenda, Grogin, Norman A., Hathi, Nimish P., Jansen, Rolf A., Koekemoer, Anton M., Marshall, Madeline A., Nonino, Mario, Ortiz III, Rafael, Pirzkal, Nor, Robotham, Aaron, Ryan Jr, Russell E., Summers, Jake, D'Silva, Jordan C. J., Willmer, Christopher N. A., Yan, Haojing
Galaxy mergers are a key driver of galaxy formation and evolution, including the triggering of AGN and star formation to a still unknown degree. We thus investigate the impact of galaxy mergers on star formation and AGN activity using a sample of 3,3
Externí odkaz:
http://arxiv.org/abs/2411.04944
Time series forecasting is a critical task in various domains, where accurate predictions can drive informed decision-making. Traditional forecasting methods often rely on current observations of variables to predict future outcomes, typically overlo
Externí odkaz:
http://arxiv.org/abs/2410.21328
Recommender systems are extensively utilised across various areas to predict user preferences for personalised experiences and enhanced user engagement and satisfaction. Traditional recommender systems, however, are complicated by confounding bias, p
Externí odkaz:
http://arxiv.org/abs/2410.12451
As network data applications continue to expand, causal inference within networks has garnered increasing attention. However, hidden confounders complicate the estimation of causal effects. Most methods rely on the strong ignorability assumption, whi
Externí odkaz:
http://arxiv.org/abs/2409.08544
Estimating causal effects is crucial for decision-makers in many applications, but it is particularly challenging with observational network data due to peer interactions. Many algorithms have been proposed to estimate causal effects involving networ
Externí odkaz:
http://arxiv.org/abs/2408.11492
Autor:
Gao, Wentao, Li, Jiuyong, Cheng, Debo, Liu, Lin, Liu, Jixue, Le, Thuc Duy, Du, Xiaojing, Chen, Xiongren, Zhao, Yanchang, Chen, Yun
Global Climate Models (GCMs) are crucial for predicting future climate changes by simulating the Earth systems. However, GCM outputs exhibit systematic biases due to model uncertainties, parameterization simplifications, and inadequate representation
Externí odkaz:
http://arxiv.org/abs/2408.12063
Autor:
Duan, Qiao, Conselice, Christopher J., Li, Qiong, Austin, Duncan, Harvey, Thomas, Adams, Nathan J., Duncan, Kenneth J., Trussler, James, Ferreira, Leonardo, Westcott, Lewi, Harris, Honor, Windhorst, Rogier A., Holwerda, Benne W., Broadhurst, Thomas J., Coe, Dan, Cohen, Seth H., Du, Xiaojing, Driver, Simon P., Frye, Brenda, Grogin, Norman A., Hathi, Nimish P., Jansen, Rolf A., Koekemoer, Anton M., Marshall, Madeline A., Nonino, Mario, Ortiz III, Rafael, Pirzkal, Nor, Robotham, Aaron, Ryan Jr, Russell E., Summers, Jake, D'Silva, Jordan C. J., Willmer, Christopher N. A., Yan, Haojing
We present a full analysis of galaxy major merger pair fractions, merger rates, and mass accretion rates, thus uncovering the role of mergers in galaxy formation at the earliest previously unexplored epoch of $4.5
Externí odkaz:
http://arxiv.org/abs/2407.09472
In medical information extraction, medical Named Entity Recognition (NER) is indispensable, playing a crucial role in developing medical knowledge graphs, enhancing medical question-answering systems, and analyzing electronic medical records. The cha
Externí odkaz:
http://arxiv.org/abs/2403.15800
Publikováno v:
In Gene 15 January 2025 933
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2024 137 Part A