{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T06:35:14Z","timestamp":1777444514711,"version":"3.51.4"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489053","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T22:25:09Z","timestamp":1539987909000},"page":"1-7","source":"Crossref","is-referenced-by-count":13,"title":["Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine"],"prefix":"10.1109","author":[{"given":"Maciej","family":"Jaworski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Duda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leszek","family":"Rutkowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065717500484"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2271915"},{"key":"ref12","article-title":"Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks","author":"duda","year":"2017","journal-title":"Information Sciences"},{"key":"ref13","first-page":"194","article-title":"Parallel distributed processing: Explorations in the microstructure of cognition, vol. 1","author":"smolensky","year":"1986","journal-title":"Information Processing in Dynamical Systems Foundations of Harmony Theory"},{"key":"ref14","author":"hinton","year":"1984","journal-title":"Boltzmann Machines Constraint Satisfaction Networks that Learn"},{"key":"ref15","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.04-07-510"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390224"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285409"},{"key":"ref19","first-page":"443","author":"bifet","year":"2007","journal-title":"Learning from Time-changing Data with Adaptive Windowing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.078"},{"key":"ref3","first-page":"88","author":"lemaire","year":"2015","journal-title":"A Survey on Supervised Classification on Data Streams"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347107"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1515\/jaiscr-2017-0011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2333557"},{"key":"ref7","first-page":"1","article-title":"New splitting criteria for decision trees in stationary data streams","volume":"pp","author":"jaworski","year":"2017","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref2","first-page":"1901","article-title":"Incremental learning from stream data","author":"he","year":"2011","journal-title":"IEEE Transactions on Neural Networks"},{"key":"ref1","article-title":"Frontiers in artificial intelligence and applications","author":"bifet","year":"2010","journal-title":"Adaptive Stream Mining Pattern Learning and Mining from Evolving Data Streams"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2236570"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2251352"},{"key":"ref22","first-page":"77","article-title":"Early drift detection method","volume":"6","author":"baena-garc?a","year":"2006","journal-title":"Fourth International Workshop on Knowledge Discovery from Data Streams"},{"key":"ref21","first-page":"286","author":"gama","year":"2004","journal-title":"Learning with Drift Detection"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557060"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","location":"Rio de Janeiro","start":{"date-parts":[[2018,7,8]]},"end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489053.pdf?arnumber=8489053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T05:15:55Z","timestamp":1598246155000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489053\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489053","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}