{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T11:49:54Z","timestamp":1771588194064,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","funder":[{"name":"Swiss NSF ML-Edge","award":["200020_182009"],"award-info":[{"award-number":["200020_182009"]}]},{"name":"ERC Consolidator","award":["725657"],"award-info":[{"award-number":["725657"]}]},{"name":"EC H2020 WiPLASH","award":["863337"],"award-info":[{"award-number":["863337"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2021,8,1]]},"DOI":"10.1109\/tc.2021.3061086","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T21:04:34Z","timestamp":1614114274000},"page":"1199-1212","source":"Crossref","is-referenced-by-count":21,"title":["E<sup>2<\/sup>CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9662-498X","authenticated-orcid":false,"given":"Flavio","family":"Ponzina","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5760-090X","authenticated-orcid":false,"given":"Miguel","family":"Peon-Quiros","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7270-5558","authenticated-orcid":false,"given":"Andreas","family":"Burg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9536-4947","authenticated-orcid":false,"given":"David","family":"Atienza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2627369.2627629"},{"key":"ref32","article-title":"Semiconductor component with electromagnetic shielding device","author":"bauer","year":"2006"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2015.2408332"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3195970.3195997"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2020.2971695"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2494536"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126964"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MDAT.2019.2947282"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3352460.3358280"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639100"},{"key":"ref17","first-page":"1769","article-title":"Design of reliable DNN accelerator with un-reliable ReRAM","author":"long","year":"2019","journal-title":"Proc Des Automat Test Eur Conf Exhibition"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/978-3-319-68167-2_18","article-title":"Maximum resilience of artificial neural networks","author":"cheng","year":"2017","journal-title":"Proc Int Symp Autom Technol Verification Anal"},{"key":"ref19","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref28","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1613\/jair.614"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2918242"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.02.003"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45014-9_1"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/DSN48063.2020.00029"},{"key":"ref7","first-page":"1915","article-title":"Ensemble deep learning for speech recognition","author":"deng","year":"2014","journal-title":"Proc Conf Int Speech Commun Assoc"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-019-01322-7"},{"key":"ref9","article-title":"An entropy-based pruning method for CNN compression","author":"luo","year":"2017"},{"key":"ref1","article-title":"End to end learning for self-driving cars","author":"bojarski","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317830"},{"key":"ref22","article-title":"Lenet-5, convolutional neural networks","author":"lecun","year":"2015"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2018.2820145"},{"key":"ref24","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref26","first-page":"4278","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref25","article-title":"The CIFAR-10 dataset","author":"krizhevsky","year":"2014"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/9478065\/09361231.pdf?arnumber=9361231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T21:48:42Z","timestamp":1643406522000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9361231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,1]]},"references-count":34,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tc.2021.3061086","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,1]]}}}