Results 241 to 250 of about 11,357,928 (275)

Application of the International Classification of Health Interventions for coding interventions in adults with sensorineural hearing loss. [PDF]

JAMIA Open
Mahomed-Asmail F, Oosthuizen I, Sykes C, Maart S, Madden R, Swanepoel W, Manchaiah V.   +6 more
europepmc   +1 more source

Editorial Note: Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Enhancing smart contract security using a code representation and GAN based methodology. [PDF]

Sci Rep
Murala DK, Loucif S, Rao KVP, Hamam H.
europepmc   +1 more source

ComplexityMeasures.jl: Scalable software to unify and accelerate entropy and complexity timeseries analysis. [PDF]

PLoS One
Datseris G, Haaga KA.
europepmc   +1 more source

Influence of strong π-acceptor ligands on Cr-K-edge X-ray absorption spectral signatures and consequences for the interpretation of surface sites in the Phillips catalyst.

Catal Sci Technol
Kakiuchi Y, Shapovalova S, Protsenko B, Guda S, Safonova OV, Guda A, Copéret C.   +6 more
europepmc   +1 more source

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Magicoder: Source Code Is All You Need

arXiv.org, 2023
We introduce Magicoder, a series of fully open-source (code, weights, and data) Large Language Models (LLMs) for code that significantly closes the gap with top code models while having no more than 7B parameters.
Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang   +4 more
semanticscholar   +1 more source

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code

International Conference on Software Engineering, 2022
Recently, many pre-trained language models for source code have been proposed to model the context of code and serve as a basis for downstream code intelligence tasks such as code completion, code search, and code summarization.
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hairong Jin   +5 more
semanticscholar   +1 more source

SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations

International Conference on Software Engineering, 2022
Recent years have seen the successful application of large pretrained models to code representation learning, resulting in substantial improvements on many code-related downstream tasks.
Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, LiGuo Huang, B. Luo   +5 more
semanticscholar   +1 more source

Retrieval-based Neural Source Code Summarization

International Conference on Software Engineering, 2020
Source code summarization aims to automatically generate concise summaries of source code in natural language texts, in order to help developers better understand and maintain source code.
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu   +4 more
semanticscholar   +1 more source

A Novel Neural Source Code Representation Based on Abstract Syntax Tree

International Conference on Software Engineering, 2019
Exploiting machine learning techniques for analyzing programs has attracted much attention. One key problem is how to represent code fragments well for follow-up analysis.
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, Xudong Liu   +5 more
semanticscholar   +1 more source