IMDAC: A robust intelligent software defect prediction model via multi-objective optimization and end-to-end hybrid deep learning networks. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Changjun_Jiang>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Dandan_Zhu>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Kun_Zhu_0024>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Nana_Zhang>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1002%2Fspe.3274>
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dcterms:issued	2024 (xsd:gYear)
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rdfs:label	IMDAC: A robust intelligent software defect prediction model via multi-objective optimization and end-to-end hybrid deep learning networks. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Kun_Zhu_0024>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Nana_Zhang>
swrc:month	February (xsd:string)
swrc:number	2 (xsd:string)
swrc:pages	308-333 (xsd:string)
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dc:title	IMDAC: A robust intelligent software defect prediction model via multi-objective optimization and end-to-end hybrid deep learning networks. (xsd:string)
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