<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-EFIZNXVX</identifier><date>2024</date><creator>Liu, Yangyan</creator><relation>documents/doc/E/URN_NBN_SI_doc-EFIZNXVX_001.pdf</relation><relation>documents/doc/E/URN_NBN_SI_doc-EFIZNXVX_001.txt</relation><format format_type="issue">11</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 15-32</format><identifier identifier_type="DOI">10.31449/inf.v48i11.5941</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">218218499</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-EFIZNXVX</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="eng">BiGRU</subject><subject language_type_id="slv">finančno tveganje</subject><subject language_type_id="slv">grafična omrežja</subject><subject language_type_id="slv">konvolucijska nevronska mreža</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Profit estimation model and financial risk prediction combining multi-scale convolutional feature extractor and BGRU model</title></Record>