{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T11:46:37Z","timestamp":1749037597444,"version":"3.28.0"},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"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":[[2021,4,23]]},"DOI":"10.1109\/icccs52626.2021.9449255","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T20:41:56Z","timestamp":1624308116000},"page":"424-428","source":"Crossref","is-referenced-by-count":5,"title":["Convolutional Neural Network-Based Obstructive Sleep Apnea Identification"],"prefix":"10.1109","author":[{"given":"Qimin","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuttapong","family":"Jiraraksopakun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apichai","family":"Bhatranand","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Places205-VGGNet models for scene recognition","year":"2015","author":"wang","key":"ref39"},{"journal-title":"Dual path networks","year":"2017","author":"chen","key":"ref38"},{"journal-title":"Learning audio representations via phase prediction","year":"2019","author":"de chaumont quitry","key":"ref33"},{"journal-title":"Self-supervised audio representation learning for mobile devices","year":"2019","author":"tagliasacchi","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-2341"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461684"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1121\/1.4984122"},{"journal-title":"Decomposing motion and content for natural video sequence prediction","year":"2017","author":"villegas","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2428998"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.11231","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"31","author":"szegedy","year":"2017","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref11","article-title":"Dcase 2017 challenge setup: Tasks, datasets and baseline system","author":"mesaros","year":"2017","journal-title":"DCASE 2017-Workshop on Detection and Classification of Acoustic Scenes and Events"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00767-6_49"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.273"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10140","article-title":"Mitosis detection in breast cancer histology images via deep cascaded networks","author":"chen","year":"2016","journal-title":"THIRTIETH AAAI Conference on Artificial Intelligence"},{"key":"ref15","first-page":"101813","article-title":"Deep neural network models for computational histopathology: A survey","author":"srinidhi","year":"2020","journal-title":"Medical Image Analysis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2935141"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.266"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0508-1"},{"key":"ref19","first-page":"1096","article-title":"Unsupervised feature learning for audio classification using convolutional deep belief networks","author":"lee","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref28","article-title":"Deepcluster: A general clustering framework based on deep learning","author":"kai","year":"2017","journal-title":"Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2326181"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/38.946629","article-title":"Color transfer between images","volume":"21","author":"reinhard","year":"2002","journal-title":"IEEE Computer Graphics Applications"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EUSIPCO.2016.7760424"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2018.7511066"},{"journal-title":"Bootstrap your own latent A new approach to self-supervised learning","year":"2020","author":"grill","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-014-0424-7"},{"key":"ref8","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2988257.2988267"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462105"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1128\/JCM.01394-06"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2690563"},{"key":"ref22","article-title":"Sequence to sequence autoencoders for unsupervised representation learning from audio","author":"amiriparian","year":"2017","journal-title":"Proc of the DCASE 2017 Workshop"},{"journal-title":"Unsupervised feature learning for audio analysis","year":"2017","author":"meyer","key":"ref21"},{"key":"ref42","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref41","first-page":"4700","article-title":"Densely connected convolutional networks","author":"huang","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.369"},{"key":"ref44","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)"},{"key":"ref26","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-434"},{"key":"ref25","first-page":"802","article-title":"Convolutional lstm network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"2015","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","start":{"date-parts":[[2021,4,23]]},"location":"Chengdu, China","end":{"date-parts":[[2021,4,26]]}},"container-title":["2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9449108\/9449090\/09449255.pdf?arnumber=9449255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T01:59:49Z","timestamp":1672538389000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9449255\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,23]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/icccs52626.2021.9449255","relation":{},"subject":[],"published":{"date-parts":[[2021,4,23]]}}}