{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T17:04:10Z","timestamp":1775667850370,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"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":[[2021,8,23]]},"DOI":"10.23919\/eusipco54536.2021.9616140","type":"proceedings-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T21:55:53Z","timestamp":1639000553000},"page":"1316-1320","source":"Crossref","is-referenced-by-count":16,"title":["Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition"],"prefix":"10.23919","author":[{"given":"Kleanthis","family":"Avramidis","sequence":"first","affiliation":[]},{"given":"Athanasia","family":"Zlatintsi","sequence":"additional","affiliation":[]},{"given":"Christos","family":"Garoufis","sequence":"additional","affiliation":[]},{"given":"Petros","family":"Maragos","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s20072034"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4446"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2012.2231073"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2010.7"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24955-6_87"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ECACE.2019.8679156"},{"key":"ref13","article-title":"A mutual information based adaptive windowing of informative EEG for emotion recognition","author":"piho","year":"2018","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/NER.2013.6695876"},{"key":"ref15","article-title":"A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition","author":"li","year":"2020","journal-title":"IEEE Trans Cogn Develop Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489715"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2012.06.298"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(88)90081-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2014.6974415"},{"key":"ref28","article-title":"Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks","volume":"7","author":"zheng","year":"2015","journal-title":"IEEE Trans on Autonomous Mental Development"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952552"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2012.00141"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682541"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00112"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/406391"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1067"},{"key":"ref8","article-title":"The Impact of EEG\/MEG Signal Processing and Modeling in the Diagnostic and Management of Epilepsy","volume":"1","author":"da silva","year":"2008","journal-title":"IEEE Reviews in Biomedical Engineering"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472193"},{"key":"ref2","article-title":"Deep State Space Models for Time Series Forecasting","volume":"31","author":"rangapuram","year":"0","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/BMEI.2011.6098461"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT45670.2019.8944903"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0065-2539(08)60549-1"},{"key":"ref21","author":"sanei","year":"0","journal-title":"Brain-Computer Interfacing"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2714671"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-4371(02)01383-3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.49.1685"},{"key":"ref25","article-title":"DEAP: A Database for Emotion Analysis Using Physiological Signals","volume":"3","author":"koelstra","year":"2011","journal-title":"IEEE Transactions on Affective Computing"}],"event":{"name":"2021 29th European Signal Processing Conference (EUSIPCO)","location":"Dublin, Ireland","start":{"date-parts":[[2021,8,23]]},"end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 29th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615915\/9615917\/09616140.pdf?arnumber=9616140","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T20:57:05Z","timestamp":1647896225000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9616140\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":32,"URL":"https:\/\/doi.org\/10.23919\/eusipco54536.2021.9616140","relation":{},"subject":[],"published":{"date-parts":[[2021,8,23]]}}}