<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-R6DD0FB6</identifier><date>2025</date><creator>Koncilja, Maks</creator><relation>documents/doc/R/URN_NBN_SI_doc-R6DD0FB6_001.pdf</relation><relation>documents/doc/R/URN_NBN_SI_doc-R6DD0FB6_001.txt</relation><format format_type="volume">12</format><format format_type="issue">2</format><format format_type="extent">9 str.</format><format format_type="type">article</format><identifier identifier_type="ISSN">2385-8567</identifier><identifier identifier_type="COBISSID_HOST">250848259</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-R6DD0FB6</identifier><language>eng</language><publisher publisher_location="Ljubljana">Založba Fakultete za matematiko in fiziko Univerze v Ljubljani</publisher><source>Matrika</source><rights>BY</rights><subject language_type_id="eng">anomalies</subject><subject language_type_id="slv">anomalije</subject><subject language_type_id="eng">detection</subject><subject language_type_id="slv">detekcija</subject><subject language_type_id="slv">fizika</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="eng">physics</subject><subject language_type_id="slv">strojno učenje</subject><title>Machine learning for anomaly detection in physics</title></Record>