Results 221 to 230 of about 82,951 (280)

A Machine Learning Implementation to Predictive Maintenance and Monitoring of Industrial Compressors. [PDF]

Sensors (Basel)
Aminzadeh A, Sattarpanah Karganroudi S, Majidi S, Dabompre C, Azaiez K, Mitride C, Sénéchal E.   +6 more
europepmc   +1 more source

Tailored text-messaging versus standard Quitline telephone counselling for smoking cessation among people who smoke from a low-socio-economic status background in Australia: A study protocol for a non-inferiority randomized controlled trial (The Quit By Phone Study). [PDF]

Addiction
Howard BC, Donnelly S, McRobbie H, Barker D, Petrie D, Stockings E, Brown J, Naughton F, Whittaker R, Shakeshaft A, Patel K, Anderson J, Thomas D, West R, Courtney RJ.   +14 more
europepmc   +1 more source

A dataset that integrates Beach Litter, Beach Uses, and Coastal Oceanographic variables. [PDF]

Sci Data
De Ramos B, da Costa MF.
europepmc   +1 more source

urbSAT: from spatial SQL to urban indicators

, 2008
Erwan Bocher, Thomas Leduc, Nathalie Long, Fernando González Cortés, Guillaume Moreau   +4 more
openalex   +1 more source

Question Answering for Electronic Health Records: Scoping Review of Datasets and Models.

J Med Internet Res
Bardhan J, Roberts K, Wang DZ.
europepmc   +1 more source

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SQL∗: A recursive SQL

Information Systems, 1993
Abstract SQL, Structured Query Language, supported by most relational database systems since its introduction by IBM in the mid 1970s, has been widely accepted and has enjoyed much popularity because of its declarativeness and the simplicity of its English-like syntax and semantics. SQL satisfied classical database applications which merely involved
Kemal Koymen, Qujun Cai
openaire   +2 more sources

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

International Conference on Computational Linguistics, 2023
Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on"huge"databases and complex user questions that require multi-step reasoning.
Bing Wang, Changyu Ren, Jian Yang, Xinnian Liang, Jiaqi Bai, Qian-Wen Zhang, Zhao Yan, Zhoujun Li   +7 more
semanticscholar   +1 more source

Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning

Proc. ACM Manag. Data, 2023
A common problem with adopting Text-to-SQL translation in database systems is poor generalization. Specifically, when there is limited training data on new datasets, existing few-shot Text-to-SQL techniques, even with carefully designed textual prompts ...
Zihui Gu, Ju Fan, Nan Tang, Lei Cao, Bowen Jia, Samuel Madden, Xiaoyong Du   +6 more
semanticscholar   +1 more source

ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Conference on Empirical Methods in Natural Language Processing, 2023
Recently Large Language Models (LLMs) have been proven to have strong abilities in various domains and tasks. We study the problem of prompt designing in the text-to-SQL task and attempt to improve the LLMs' reasoning ability when generating SQL queries.
Hanchong Zhang, Ruisheng Cao, Lu Chen, Hongshen Xu, Kai Yu   +4 more
semanticscholar   +1 more source