{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:22:34Z","timestamp":1775665354528,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.23919\/date.2018.8342139","type":"proceedings-article","created":{"date-parts":[[2018,4,23]],"date-time":"2018-04-23T23:20:11Z","timestamp":1524525611000},"page":"913-916","source":"Crossref","is-referenced-by-count":48,"title":["Error resilience analysis for systematically employing approximate computing in convolutional neural networks"],"prefix":"10.23919","author":[{"given":"Muhammad Abdullah","family":"Hanif","sequence":"first","affiliation":[]},{"given":"Rehan","family":"Hafiz","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Shafique","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2009.2027626"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2015.2419628"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/FPL.2015.7293933"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3005348"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2906199"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807412"},{"key":"ref16","author":"leon-garcia","year":"2007","journal-title":"Probability and Random Processes for EE's"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref4","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref6","author":"li","year":"2016","journal-title":"Pruning filters for efficient convnets"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref8","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","author":"lin","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref7","first-page":"2285","article-title":"Compressing neural networks with the hashing trick","author":"chen","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref1","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":"ref9","author":"han","year":"2015","journal-title":"Deep compression Compressing deep neural networks with pruning trained quantization and huffman coding"}],"event":{"name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","location":"Dresden, Germany","start":{"date-parts":[[2018,3,19]]},"end":{"date-parts":[[2018,3,23]]}},"container-title":["2018 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8337149\/8341968\/08342139.pdf?arnumber=8342139","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,5,8]],"date-time":"2018-05-08T18:30:50Z","timestamp":1525804250000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8342139\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":17,"URL":"https:\/\/doi.org\/10.23919\/date.2018.8342139","relation":{},"subject":[],"published":{"date-parts":[[2018,3]]}}}