91 KB0 KB197720262024Vlahek, Dinoletnik:48številka:iss. 2str. 289-290ISSN:0350-5596COBISSID_HOST:204109315URN:URN:NBN:SI:doc-TKIF8AQAenSlovene Society InformatikaInformatica (Ljubljana)data classificationexplainable artificial intelligencefeature learningklasifikacija podatkovrazložljiva umetna inteligencaučenje funkcijAn efficient iterative algorithm to explainable feature learning|This paper summarizes a doctoral thesis introducing the new iterative approach to explainable feature learning. Features are learned in three steps during each iteration: feature construction, evaluation, and selection. We demonstrated superior performances compared to the state of the art on 13 of 15 test cases and the explainability of the learned feature representation for knowledge discoveryTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaSlovensko društvo Informatika