{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T17:45:30Z","timestamp":1770745530436,"version":"3.49.0"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Portuguese Foundation for Science and Technology through the Projeto Estrat\u00e9gico","award":["UID\/EEA\/50009\/2019"],"award-info":[{"award-number":["UID\/EEA\/50009\/2019"]}]},{"name":"Ag\u00eancia Regional para o Desenvolvimento da Investiga\u00e7\u00e3o, Tecnologia e Inova\u00e7\u00e3o (ARDITI) Ph.D. Studentship","award":["M1420-09-5369-FSE-000001"],"award-info":[{"award-number":["M1420-09-5369-FSE-000001"]}]},{"name":"MITIExcell","award":["M1420-01-0145-FEDER-000002"],"award-info":[{"award-number":["M1420-01-0145-FEDER-000002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3009149","type":"journal-article","created":{"date-parts":[[2020,7,14]],"date-time":"2020-07-14T20:50:04Z","timestamp":1594759804000},"page":"129586-129599","source":"Crossref","is-referenced-by-count":52,"title":["Multi-Objective Hyperparameter Optimization of Convolutional Neural Network for Obstructive Sleep Apnea Detection"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7677-0971","authenticated-orcid":false,"given":"Sheikh Shanawaz","family":"Mostafa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5107-3248","authenticated-orcid":false,"given":"Fabio","family":"Mendonca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8512-965X","authenticated-orcid":false,"given":"Antonio G.","family":"Ravelo-Garcia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel","family":"Julia-Serda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7334-3993","authenticated-orcid":false,"given":"Fernando","family":"Morgado-Dias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/INES.2017.8118534"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2012.030502"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.14257\/ijunesst.2015.8.11.31"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/e19060242"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8513363"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93034-3_29"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2018.8650491"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-0963-0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489248"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.06.028"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s13534-017-0055-y"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aac7b7"},{"key":"ref60","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref62","author":"seshadri","year":"2009","journal-title":"Multi-Objective Optimization Using Evolutionary Algorithms"},{"key":"ref61","author":"haykin","year":"1998","journal-title":"Neural Networks A Comprehensive Foundation"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2010.5637900"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.09.116"},{"key":"ref64","first-page":"1","article-title":"ADAM: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)ICLR"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref65","first-page":"115","article-title":"Simulated binary crossover for continuous search space","volume":"9","author":"deb","year":"1995","journal-title":"Complex Syst"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2017.37"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2468589"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy131"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3833-2"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2012.2188299"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1378\/chest.90.5.686"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.14-0970"},{"key":"ref20","first-page":"13053","article-title":"SAHS detection based on ANFIS using single channel airflow signal","volume":"5","author":"paul","year":"2016","journal-title":"Int J Innov Res Sci Eng Technol"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5120\/9559-4022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.11159\/icbes16.142"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1974.5408535"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/e17052932"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICAT.2017.8171609"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3455-8"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2018.06.001"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2012.04.245"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15825-4_10"},{"key":"ref58","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Int Conf Mach Learn"},{"key":"ref57","first-page":"1","article-title":"Understanding convolutional neural networks","volume":"2016","author":"stutz","year":"2014","journal-title":"NIPS"},{"key":"ref56","first-page":"1840","article-title":"On vectorization of deep convolutional neural networks for vision tasks","author":"ren","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref55","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref54","year":"2018","journal-title":"St Vincent’s University Hospital\/University College Dublin Sleep Apnea Database"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CIC.2000.898505"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.101.23.e215"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s00408-007-9055-5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2018.02.004"},{"key":"ref40","article-title":"Large-scale evolution of image classifiers","author":"real","year":"2017","journal-title":"arXiv 1703 01041"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2823265"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s19224934"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aaafb8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/27\/4\/006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-010-0646-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1183\/09031936.03.00104902"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2345667"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70139-4_83"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1164\/ajrccm.164.10.2101072"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1164\/ajrccm.160.6.9811054"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199304293281704"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.32.6.1271"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/10.966600"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2461381.2461405"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/29.3.299"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2017.09.006"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/s18041288"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC.2018.8538572"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2018.00071"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3146347.3146355"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.154"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.049"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-77553-1_2"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09139951.pdf?arnumber=9139951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:54:26Z","timestamp":1639770866000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9139951\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":71,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3009149","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}