<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-NNKOCQG8</identifier><date>2024</date><creator>Lu, Hong</creator><creator>Lu, Senyang</creator><creator>Yue, Ziyan</creator><relation>documents/doc/N/URN_NBN_SI_doc-NNKOCQG8_001.pdf</relation><relation>documents/doc/N/URN_NBN_SI_doc-NNKOCQG8_001.txt</relation><format format_type="issue">14</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 157-170</format><identifier identifier_type="DOI">10.31449/inf.v48i14.5939</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">221015555</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-NNKOCQG8</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">gradient</subject><subject language_type_id="slv">hibridna inteligenca</subject><subject language_type_id="slv">kakovost</subject><subject language_type_id="slv">negotovost</subject><subject language_type_id="slv">slike</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Image semantic quality evaluation model for human-machine hybrid intelligence</title><title>a gradient-based uncertainty calculation method</title></Record>