Results 241 to 250 of about 250,329 (273)

Semantic Similarity Search for Source Code Plagiarism Detection: An Exploratory Study

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
Fahad Ebrahim, Mike Joy
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WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero. [PDF]

Environ Sci Technol
Zhai M, Zeng Q, Qiu R, Li J, Zhu Q, Waite TD, Ni BJ, Duan H.   +7 more
europepmc   +1 more source

Knowledge-Guided Explainable Recommendation Tool for Cancer Risk Prediction Models Using Retrieval-Augmented Large Language Models: Development and Validation Study.

JMIR Med Inform
Ren S, Zheng X, Zhao J, Du J, Zhang Y, Bi C, Song J, Zhang J, Lang H, Zhang F, Shen B.   +10 more
europepmc   +1 more source

OpenCodeCounts: An open-access, interactive online tool and R package for analysing clinical code usage in England

Tamborska AA, Higgins R, Boukari Y, Kingsley V, Ojedele L, Oreagba K, Massey J, Schaffer A, Green A, Hulme W, MacKenna B, Curtis HJ, Fisher L, Wiedemann M.   +13 more
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SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search

ACM Transactions on Information Systems
Efficient code search techniques are crucial in accelerating software development by aiding developers in locating specific code snippets and understanding code functionalities. This study investigates code search methodologies, focusing on the emerging significance of semantic consistency in data augmentation techniques.
Xu Zhang, Zexu Lin, Xiaoyu Hu, Jianlei Wang, Wenpeng Lu, De-Yu Zhou   +5 more
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Code semantic enrichment for deep code search

Journal of Systems and Software
Zhongyang Deng, Ling Xu, Chao Liu, Luwen Huangfu, Meng Yan   +4 more
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How to better utilize code graphs in semantic code search?

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
Semantic code search greatly facilitates software reuse, which enables users to find code snippets highly matching user-specified natural language queries. Due to the rich expressive power of code graphs (e.g., control-flow graph and program dependency graph), both of the two mainstream research works (i.e., multi-modal models and pre-trained models ...
SHI, Yucen, YIN, Ying, WANG, Zhengkui, LO, David, ZHANG, Tao, XIA, Xin, ZHAO, Yuhai, XU, Bowen   +7 more
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Searching for semantics in the retinal code

Neurocomputing, 2009
This paper deals with retinal code semantics by introducing a new approach for the functional classification of retinal ganglion cells based on their firing patterns and coding capabilities. Multielectrode extracellular recordings were obtained from ganglion cell populations in isolated superfused albino rabbit retina using a rectangular array of 100 ...
María P. Bonomini, José M. Ferrandez, Eduardo Fernandez   +2 more
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Repairing Programs with Semantic Code Search (T)

2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2015
Automated program repair can potentially reduce debugging costs and improve software quality but recent studies have drawn attention to shortcomings in the quality of automatically generated repairs. We propose a new kind of repair that uses the large body of existing open-source code to find potential fixes.
Yalin Ke, Kathryn T. Stolee, Claire Le Goues, Yuriy Brun   +3 more
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Semantics-based code search demonstration proposal

2009 IEEE International Conference on Software Maintenance, 2009
Our goal is to use the vast repositories of available open source code to generate specific functions or classes that meet a user's specifications. The key words here are specifications and generate. We let users specify what they are looking for as precisely as possible using keywords, class or method signatures, test cases, contracts, and security ...
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