Zobrazeno 1 - 10
of 16 435
pro vyhledávání: '"An, Yanxin"'
In recent years, data mining technologies have been well applied to many domains, including e-commerce. In customer relationship management (CRM), the RFM analysis model is one of the most effective approaches to increase the profits of major enterpr
Externí odkaz:
http://arxiv.org/abs/2411.05317
Current flight procedure design methods heavily rely on human-led design process, which is not only low auto-mation but also suffer from complex algorithm modelling and poor generalization. To address these challenges, this paper proposes an agent-dr
Externí odkaz:
http://arxiv.org/abs/2410.14989
Pubic symphysis-fetal head segmentation in transperineal ultrasound images plays a critical role for the assessment of fetal head descent and progression. Existing transformer segmentation methods based on sparse attention mechanism use handcrafted s
Externí odkaz:
http://arxiv.org/abs/2410.10352
Autor:
Liu, Yanming, Peng, Xinyue, Cao, Jiannan, Bo, Shi, Shen, Yanxin, Zhang, Xuhong, Cheng, Sheng, Wang, Xun, Yin, Jianwei, Du, Tianyu
Large language models (LLMs) have shown remarkable capabilities in natural language processing; however, they still face difficulties when tasked with understanding lengthy contexts and executing effective question answering. These challenges often a
Externí odkaz:
http://arxiv.org/abs/2410.01671
Autor:
Feng, Yanxin, Wu, Andrew, McInerney, James, Sarkar, Siddhartha, Mao, Xiaoming, Rocklin, D. Zeb
Origami principles are used to create strong, lightweight structures with complex mechanical response. However, identifying the fundamental physical principles that determine a sheet's behavior remains a challenge. We introduce a new analytic theory
Externí odkaz:
http://arxiv.org/abs/2410.02174
Autor:
Shen, Yanxin, Zhang, Pulin Kirin
Financial sentiment analysis (FSA) is crucial for evaluating market sentiment and making well-informed financial decisions. The advent of large language models (LLMs) such as BERT and its financial variant, FinBERT, has notably enhanced sentiment ana
Externí odkaz:
http://arxiv.org/abs/2410.01987
Autor:
Wang, Pengyun, Huang, Ping, Jin, Yifan, Shen, Yanxin, Shahawy, Omar El, Ham, Dae Woong, O'Meara, Wendy P., Heng, Siyu
According to the WHO, in 2021, about 32% of pregnant women in sub-Saharan Africa were infected with malaria during pregnancy. Malaria infection during pregnancy can cause various adverse birth outcomes such as low birthweight. Over the past two decad
Externí odkaz:
http://arxiv.org/abs/2409.19314
Credit scoring is vital in the financial industry, assessing the risk of lending to credit card applicants. Traditional credit scoring methods face challenges with large datasets and data imbalance between creditworthy and non-creditworthy applicants
Externí odkaz:
http://arxiv.org/abs/2409.16676
Graph domain adaptation has recently enabled knowledge transfer across different graphs. However, without the semantic information on target graphs, the performance on target graphs is still far from satisfactory. To address the issue, we study the p
Externí odkaz:
http://arxiv.org/abs/2409.08946
Data physicalization is gaining popularity in public and educational contexts due to its potential to make abstract data more tangible and understandable. Despite its growing use, there remains a significant gap in our understanding of how large-size
Externí odkaz:
http://arxiv.org/abs/2409.06951