{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T03:19:22Z","timestamp":1777000762674,"version":"3.51.4"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/fuzz48607.2020.9177948","type":"proceedings-article","created":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T16:50:57Z","timestamp":1598460657000},"page":"1-8","source":"Crossref","is-referenced-by-count":18,"title":["Fuzzy Neural Networks to Detect Parkinson Disease"],"prefix":"10.1109","author":[{"given":"Lerina","family":"Aversano","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario Luca","family":"Bernardi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta","family":"Cimitile","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Riccardo","family":"Pecori","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","first-page":"iii-1139","article-title":"On the importance of initialization and momentum in deep learning","author":"sutskever","year":"2013","journal-title":"Proceedings of the 30th International Conference on International Conference on Machine Learning - Volume 28 ICML&#x2019;13"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102422"},{"key":"ref10","article-title":"Deephealth: Deep learning for health informatics","author":"kwak","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S1352-2310(97)00447-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-6670(17)56894-9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2018.8491625"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-80117-4_51"},{"key":"ref15","author":"nauck","year":"1997","journal-title":"Foundations of NeuroFuzzy Systems"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"28","DOI":"10.11138\/FNeur\/2017.32.1.028","article-title":"Gait analysis and clinical correlations in early parkinson&#x2019;s disease","volume":"32","author":"sanson","year":"2017","journal-title":"Functional Neurology"},{"key":"ref17","article-title":"Deep 1d-convnet for accurate parkinson disease detection and severity prediction from gait","author":"el maachi","year":"2019"},{"key":"ref18","first-page":"1","article-title":"A dual-modal attentionenhanced deep learning network for quantification of parkinson&#x2019;s disease characteristics","author":"xia","year":"2019","journal-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.032"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2948658"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00163"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.10.017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2018.8333381"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICOEI.2019.8862686"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCONS.2018.8663104"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59147-6_30"},{"key":"ref7","first-page":"625","article-title":"Why does unsupervised pretraining help deep learning?","volume":"11","author":"erhan","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.07.015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988157"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856685"},{"key":"ref20","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"2369","DOI":"10.1111\/j.1460-9568.2007.05810.x","article-title":"Hausdorff. Rhythmic auditory stimulation modulates gait variability in parkinson&#x2019;s disease","volume":"26","author":"jeffrey","year":"2007","journal-title":"European Journal of Neuroscience"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1111\/j.1460-9568.2005.04298.x","article-title":"Dual tasking, gait rhythmicity, and parkinson&#x2019;s disease: Which aspects of gait are attention demanding?","volume":"22","author":"galit","year":"2005","journal-title":"European Journal of Neuroscience"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015187"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1002\/mds.20507","article-title":"Frenkel-Toledo. Treadmill walking as an external pacemaker to improve gait rhythm and stability in parkinson&#x2019;s disease","volume":"20","author":"silvi","year":"2005","journal-title":"Movement Disorders"},{"key":"ref26","article-title":"Unit tests for stochastic optimization","author":"schaul","year":"2013"},{"key":"ref25","article-title":"Searching for activation functions","author":"ramachandran","year":"2017"}],"event":{"name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9171991\/9177529\/09177948.pdf?arnumber=9177948","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:57:21Z","timestamp":1656331041000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9177948\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/fuzz48607.2020.9177948","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}