Weak labelling consists of using heuristics and external knowledge bases to perform annotations in an automated way, especially when collecting human annotations is not feasible (e.g., using image-level labels to train a convolutional neural network for pixel-level semantic segmentation [9]).
Weak Labelling for File-level Source Code Classification - IEEE Xplore
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May 15, 2023 · This work presents a weak labelling approach based on keyword extraction to annotate source files in a software project.
Aug 14, 2023 · This work presents a weak labelling approach based on keyword extraction to annotate source files in a software project. Our findings suggest ...
This work presents a weak labelling approach based on keyword extraction to annotate source files in a software project.
Nov 20, 2023 · We propose a novel approach to annotate source code files using a weak labelling approach and a subsequent hierarchical aggregation.
Request PDF | On Mar 1, 2023, Cezar Sas and others published Weak Labelling for File-level Source Code Classification | Find, read and cite all the research ...
This work presents a weak labelling approach based on keyword extraction to annotate source files in a software project.Our findings suggest that using keywords ...
Method. We propose a novel approach to annotate source code files using a weak labelling approach and a subsequent hierarchical aggregation. We investigate ...
Jun 19, 2023 · I created an automatic labeling rule (AIP) so that if the content reaches data related to the Source Code classifier, it labels the file as confidential.
Missing: Weak level
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Nov 20, 2023 · Our paper proposes a weak labelling approach for annotating source code files in a code base. We use this file-level annotation strategy to ...