{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T16:45:08Z","timestamp":1774716308742,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"SRC"},{"name":"NSF","award":["CCF-1253670"],"award-info":[{"award-number":["CCF-1253670"]}]},{"name":"Center for Future Architectures Research (CFAR)"},{"name":"Systems on Nanoscale Information fabriCs (SONIC)"},{"DOI":"10.13039\/100007245","name":"MARCO","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100007245","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000185","name":"DARPA","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1109\/tcsi.2015.2395591","type":"journal-article","created":{"date-parts":[[2015,3,29]],"date-time":"2015-03-29T02:44:07Z","timestamp":1427597047000},"page":"1136-1145","source":"Crossref","is-referenced-by-count":34,"title":["Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference"],"prefix":"10.1109","volume":"62","author":[{"given":"Zhuo","family":"Wang","sequence":"first","affiliation":[]},{"given":"Robert E.","family":"Schapire","sequence":"additional","affiliation":[]},{"given":"Naveen","family":"Verma","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/988952.989014"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1117\/12.473427","article-title":"Understanding the forbidden pitch phenomenon and assist feature placement","volume":"4689","author":"shi","year":"2002","journal-title":"Proc SPIE"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.816362"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/RECONF.2006.307770"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143865"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015178"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2007.911352"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1162\/153244303322753616"},{"key":"ref35","author":"girard","year":"2009","journal-title":"Openmsp430"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/SISY.2011.6034358"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854329"},{"key":"ref40","first-page":"975","article-title":"Application of machine learning to epileptic seizure detection","author":"shoeb","year":"2010","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2009.4977293"},{"key":"ref12","first-page":"176","article-title":"Reliability challenges for 45 nm and beyond","author":"mcpherson","year":"2006","journal-title":"Proc Design Autom Conf"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM.2005.1609253"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2012.2187527"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.microrel.2014.02.002"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MDT.2008.113"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1837274.1837491"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"830","DOI":"10.1109\/DAC.2002.1012737","article-title":"Reliable and energy-efficient digital signal processing","author":"shanbhag","year":"2002","journal-title":"Proc Design Autom Conf"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2010.253"},{"key":"ref4","first-page":"1","article-title":"Recognition, mining and synthesis moves computers to the era of tera","volume":"9","author":"dubey","year":"2005","journal-title":"Technol Intel Mag"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007607513941"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2012.2211691"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/0471653829"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-014-0931-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6289113"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2007.07.001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/DATE.2010.5457059"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1837274.1837411"},{"key":"ref2","first-page":"285","article-title":"A 1.2-0.55 V general-purpose biomedical processor with configurable machine-learning accelerators for high-order, patient-adaptive monitoring","author":"lee","year":"2012","journal-title":"Proc IEEE ESSCIRC"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946802"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2005.1465795"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ISSOC.2007.4427447"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511801389"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2014.2342153"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"215e","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"Physiobank, physiotoolkit, and physionet components of a new research resource for complex physiologic signals","volume":"101","author":"goldberger","year":"2000","journal-title":"Circulation"},{"key":"ref24","first-page":"185","article-title":"FilterBoost: Regression and classification on large datasets","author":"bradley","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst Conf"},{"key":"ref41","author":"shoeb","year":"2009","journal-title":"Application of machine learning to epileptic seizure onset detection and treatment"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/8291.001.0001","author":"schapire","year":"2012","journal-title":"Boosting Foundations and Algorithms"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2008.2007145"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LPE.2006.4271799"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8919\/7070848\/07070874.pdf?arnumber=7070874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T01:49:21Z","timestamp":1691545761000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7070874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4]]},"references-count":42,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2015.2395591","relation":{},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"value":"1549-8328","type":"print"},{"value":"1558-0806","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,4]]}}}