<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-5LIKXNS1</identifier><date>2025</date><creator>Maktum, Tabassum</creator><relation>documents/doc/5/URN_NBN_SI_doc-5LIKXNS1_001.pdf</relation><relation>documents/doc/5/URN_NBN_SI_doc-5LIKXNS1_001.txt</relation><format format_type="issue">15</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 15-26</format><identifier identifier_type="DOI">10.31449/inf.v49i15.6745</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">243012099</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-5LIKXNS1</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">finance</subject><subject language_type_id="slv">klasifikacijski modeli</subject><subject language_type_id="slv">stečaj</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">tehnike prekomernega vzorčenja</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A machine learning based framework for bankruptcy prediction in corporate finances using explainable AI techniques</title></Record>