<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-UONNRIJU</identifier><date>2025</date><creator>Gan, Runze</creator><creator>Xiang, Shiqian</creator><relation>documents/doc/U/URN_NBN_SI_doc-UONNRIJU_001.pdf</relation><relation>documents/doc/U/URN_NBN_SI_doc-UONNRIJU_001.txt</relation><format format_type="volume">49</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 501 i. e. 43-56</format><identifier identifier_type="DOI">10.31449/inf.v49i6.6963</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">233412355</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-UONNRIJU</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">označevanje</subject><subject language_type_id="slv">računalniški vid</subject><subject language_type_id="slv">razvrščanje</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">vizualne komunikacije</subject><title>Amachine learning-based approach to cross-application of computer vision and visual communication design for automatic labelling and classification</title></Record>