{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T01:29:59Z","timestamp":1771637399209,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icpr48806.2021.9412491","type":"proceedings-article","created":{"date-parts":[[2021,5,6]],"date-time":"2021-05-06T02:15:54Z","timestamp":1620267354000},"page":"5052-5059","source":"Crossref","is-referenced-by-count":2,"title":["Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis"],"prefix":"10.1109","author":[{"given":"Beradino","family":"Barile","sequence":"first","affiliation":[]},{"given":"Aldo","family":"Marzullo","sequence":"additional","affiliation":[]},{"given":"Claudio","family":"Stamile","sequence":"additional","affiliation":[]},{"given":"Francoise","family":"Durand-Dubief","sequence":"additional","affiliation":[]},{"given":"Dominique","family":"Sappey-Marinier","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2014-139"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"787","DOI":"10.4103\/1673-5374.206650","article-title":"Correlation between white matter damage and gray matter lesions in multiple sclerosis patients","volume":"12","author":"han","year":"2017","journal-title":"Neural Regeneration Research"},{"key":"ref30","article-title":"Visualizing high-dimensional data using t-SNE","volume":"2579?2605","author":"hinton","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.22"},{"key":"ref11","article-title":"Multi-view multigraph embedding for brain network clustering analysis","author":"liu","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref12","article-title":"A tensor decomposition-based approach for detecting dynamic network states from eeg","volume":"64","author":"mahyari","year":"2016","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"ref13","article-title":"Subgraphs of functional brain networks identify dynamical constraints of cognitive control","volume":"14","author":"khambhati","year":"2018","journal-title":"Computational Biology"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46128-1_2"},{"key":"ref15","first-page":"1548","article-title":"Graph regularized nonnegative matrix factorization for data representation","volume":"8","author":"cai","year":"2011","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref16","article-title":"Multi-view clustering with graph embedding for connectome analysis","author":"guixiang","year":"2017","journal-title":"Association for Computing Machinery"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2933138"},{"key":"ref18","article-title":"Tensor decompositions and applications","volume":"51","author":"brett","year":"2009","journal-title":"SIAM"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.01.044"},{"key":"ref28","volume":"16","author":"jerrum","year":"1998","journal-title":"Mathematical foundations of the Markov chain monte carlo method"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2597963"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102451"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-003-0992-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00478"},{"key":"ref29","volume":"abs 1901 1346","author":"sajjad","year":"2019","journal-title":"Efficient representation learning using random walks for dynamic graphs"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.03.028"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00478"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2018-318440"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000000560"},{"key":"ref9","first-page":"17","article-title":"Semi-supervised tensor factorization for brain network analysis","author":"bokai","year":"2016","journal-title":"Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/ene.13819"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.01.009"},{"key":"ref22","article-title":"Graph theory-based brain connectivity for automatic classification of multiple sclerosis clinical courses","volume":"13","author":"kocevar","year":"2019","journal-title":"Frontiers in Neuroscience"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(00)00052-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479896305696"},{"key":"ref23","article-title":"Ad-vances in functional and structural mr image analysis and implementation as fsl","volume":"62","author":"smith","year":"2019","journal-title":"FSL NeuroImage"},{"key":"ref26","author":"harshman","year":"1976","journal-title":"Methods of three-way factor analysis and multidimensional scaling according to the principle of pro-portional profiles"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289464"}],"event":{"name":"2020 25th International Conference on Pattern Recognition (ICPR)","location":"Milan, Italy","start":{"date-parts":[[2021,1,10]]},"end":{"date-parts":[[2021,1,15]]}},"container-title":["2020 25th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9411940\/9411911\/09412491.pdf?arnumber=9412491","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:48Z","timestamp":1652197248000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9412491\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icpr48806.2021.9412491","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}