{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:12:24Z","timestamp":1753884744459,"version":"3.41.2"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:p> Visualizing the decision making procedure of a deep neural network is one of the main challenges towards transparent and trustworthy artificial intelligence. This paper presents an approach which extracts latent variables from a trained network and, through clustering, constructs a set of anchors that represent the network\u2019s data driven knowledge. This set is then used to inform users about the features that create network\u2019s decision. <\/jats:p>","DOI":"10.1142\/s0218213022410044","type":"journal-article","created":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T14:57:45Z","timestamp":1651676265000},"source":"Crossref","is-referenced-by-count":0,"title":["Visualization in Deep Neural Network Training"],"prefix":"10.1142","volume":"31","author":[{"given":"Stefanos","family":"Kollias","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, 15780, Greece"}]}],"member":"219","published-online":{"date-parts":[[2022,5,3]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213022410044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T07:00:26Z","timestamp":1656658826000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218213022410044"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5]]},"references-count":0,"journal-issue":{"issue":"03","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["10.1142\/S0218213022410044"],"URL":"https:\/\/doi.org\/10.1142\/s0218213022410044","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"type":"print","value":"0218-2130"},{"type":"electronic","value":"1793-6349"}],"subject":[],"published":{"date-parts":[[2022,5]]},"article-number":"2241004"}}