{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T12:16:02Z","timestamp":1769170562588,"version":"3.49.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T00:00:00Z","timestamp":1694908800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T00:00:00Z","timestamp":1694908800000},"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":[[2023,9,17]]},"DOI":"10.1109\/mlsp55844.2023.10285892","type":"proceedings-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T17:55:41Z","timestamp":1698083741000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Multiview Independent Component Analysis with Delays"],"prefix":"10.1109","author":[{"given":"Ambroise","family":"Heurtebise","sequence":"first","affiliation":[{"name":"Université Paris-Saclay,Inria, CEA,Palaiseau,France"}]},{"given":"Pierre","family":"Ablin","sequence":"additional","affiliation":[{"name":"Apple,Paris,France"}]},{"given":"Alexandre","family":"Gramfort","sequence":"additional","affiliation":[{"name":"Université Paris-Saclay,Inria, CEA,Palaiseau,France"}]}],"member":"263","reference":[{"key":"ref13","article-title":"CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series","author":"varoquaux","year":"2009","journal-title":"arXiv preprint arXiv 0911 4650"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.10.057"},{"key":"ref15","article-title":"Multi-view independent component analysis with shared and individual sources","author":"pandeva","year":"2022","journal-title":"arXiv preprint arXiv 2210 02083"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280722"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.936725"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2307\/2334380"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(00)00026-5"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0165-1684(94)90029-9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/78.651167"},{"key":"ref16","article-title":"Extended ICA removes artifacts from electroencephalographic recordings","volume":"10","author":"jung","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.09.018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms15671"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/10.841330"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/aur.111"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2844203"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","article-title":"Fast and robust fixed-point algorithms for independent component analysis","volume":"10","author":"hyvarinen","year":"1999","journal-title":"IEEE Transactions on Neural Networks"},{"key":"ref6","article-title":"Independent component analysis of electroencephalographic data","volume":"8","author":"makeig","year":"1995","journal-title":"Advances in neural information processing systems"},{"key":"ref5","first-page":"19149","article-title":"Modeling shared responses in neuroimaging studies through multiview ICA","volume":"33","author":"richard","year":"2020","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","location":"Rome, Italy","start":{"date-parts":[[2023,9,17]]},"end":{"date-parts":[[2023,9,20]]}},"container-title":["2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10285838\/10285858\/10285892.pdf?arnumber=10285892","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:03:34Z","timestamp":1699902214000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10285892\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,17]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/mlsp55844.2023.10285892","relation":{},"subject":[],"published":{"date-parts":[[2023,9,17]]}}}