LLM-as-a-Judge: automated evaluation of search query parsing using large language models [0.03%]
基于大型语言模型的搜索查询解析自动评估方法研究：LLM-as-a-Judge
Mehmet Selman Baysan,Serkan Uysal,İrem İşlek et al.
Mehmet Selman Baysan et al.
Introduction: The adoption of Large Language Models (LLMs) in search systems necessitates new evaluation methodologies beyond traditional rule-based or manual approaches. ...
Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications [0.03%]
微阵列数据分析中的特征选择技术及其应用综述
Fangling Wang,Azlan Mohd Zain,Yanjie Ren et al.
Fangling Wang et al.
This review systematically summarizes recent advances in microarray feature selection techniques and their applications in biomedical research. It addresses the challenges posed by the high dimensionality and noise of microarray data, aimin...
Optimizing public health management with predictive analytics: leveraging the power of random forest [0.03%]
基于随机森林的预测分析在公共卫生管理中的应用优化研究
Hongman Wang,Yifan Song,Hua Bi
Hongman Wang
Community health outcomes significantly impact older populations' wellbeing and quality of life. Traditional analytical methods often struggle to accurately predict health risks at the community level due to their inability to capture compl...
Design and development of an efficient RLNet prediction model for deepfake video detection [0.03%]
一种有效的RLNet预测模型的设计与开发用于深伪视频检测
Varad Bhandarkawthekar,T M Navamani,Rishabh Sharma et al.
Varad Bhandarkawthekar et al.
Introduction: The widespread emergence of deepfake videos presents substantial challenges to the security and authenticity of digital content, necessitating robust detection methods. Deepfake detection remains challenging...
AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization [0.03%]
基于文本特征和SVM模型的AI驱动的智能紧急服务支持，用于优化9-1-1呼叫处理员的数字健康
Afraa Attiah,Manal Kalkatawi
Afraa Attiah
In emergency situations, 9-1-1 is considered the first point of contact, and their call handlers play a crucial role in managing the emergency response. Due to the large number of daily calls and the hectic routine, there are severe chances...
Fine-tuning or prompting on LLMs: evaluating knowledge graph construction task [0.03%]
大型语言模型的微调或指令调整：知识图谱构建任务评估
Hussam Ghanem,Christophe Cruz
Hussam Ghanem
This paper explores Text-to-Knowledge Graph (T2KG) construction, assessing Zero-Shot Prompting, Few-Shot Prompting, and Fine-Tuning methods with Large Language Models. Through comprehensive experimentation with Llama2, Mistral, and Starling...
Conceptualization and scale development for big data-based learning organization capability [0.03%]
基于大数据的学习型组织能力的概念化与量表开发
Nesrin Alkan,Deniz Ersan Yilmaz,Bilal Baris Alkan
Nesrin Alkan
Introduction: In today's competitive business landscape, organizations must enhance learning and adaptability to gain a strategic edge. While big data significantly influences organizational learning, a comprehensive tool...
LISTEN: lived experiences of Long COVID: a social media analysis of mental health and supplement use [0.03%]
倾听：长期新冠的个人经历：心理健康与补充剂使用的社会媒体分析
Sam Martin,Maya Janse Van Rensburg,Huong Thien Le et al.
Sam Martin et al.
Introduction: Long COVID, or Post-Acute Sequelae of SARS-CoV-2 infection (PASC), is a complex condition characterized by a wide range of persistent symptoms that can significantly impact an individual's quality of life an...
Deep learning based automation of mean linear intercept quantification in COPD research [0.03%]
基于深度学习的慢性阻塞性肺疾病研究中平均直线截距的自动化量化方法
Lars Leyendecker,Anna Louisa Weltin,Florian Nienhaus et al.
Lars Leyendecker et al.
Chronic obstructive pulmonary disease (COPD), a major cause of global mortality, necessitates novel therapies targeting lung function and remodeling. Their effect on emphysema formation is initially investigated using mouse models by analyz...
Data visualization of complex research systems aligned with the sustainable development goals [0.03%]
面向可持续发展目标的复杂科研体系的数据可视化研究
Francisco Carlos Paletta,Audilio Gonzalez-Aguilar,Lise Verlaet
Francisco Carlos Paletta
This study presents a methodological framework for visualizing the alignment between complex research systems and the Sustainable Development Goals (SDGs), using CIRAD as a case study. By leveraging advanced data visualization and bibliomet...