{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:34:52Z","timestamp":1768314892134,"version":"3.49.0"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"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":[[2020,12,1]]},"DOI":"10.1109\/ssci47803.2020.9308165","type":"proceedings-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T23:12:38Z","timestamp":1609888358000},"page":"1607-1613","source":"Crossref","is-referenced-by-count":28,"title":["Adaptation of Convolutional Neural Networks for Multi-Channel Artifact Detection in Chronically Recorded Local Field Potentials"],"prefix":"10.1109","author":[{"given":"Marcos","family":"Fabietti","sequence":"first","affiliation":[]},{"given":"Mufti","family":"Mahmud","sequence":"additional","affiliation":[]},{"given":"Ahmad","family":"Lotfi","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Averna","sequence":"additional","affiliation":[]},{"given":"David","family":"Guggenmos","sequence":"additional","affiliation":[]},{"given":"Randolph","family":"Nudo","sequence":"additional","affiliation":[]},{"given":"Michela","family":"Chiappalone","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"arXiv preprint arXiv 1803 01271"},{"key":"ref38","author":"fabietti","year":"2020","journal-title":"Artifact detection in chronically recorded local field potentials using long-short term memory neural network"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.15761\/TBR.1000104"},{"key":"ref32","article-title":"Universal spike classifier","author":"saif-ur rehman","year":"2018","journal-title":"arXiv preprint arXiv 1811 02923"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_43"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/PRNI.2017.7981506"},{"key":"ref37","article-title":"MATLAB. Deep Learning Toolbox R2020a","year":"2017","journal-title":"The Mathworks Inc"},{"key":"ref36","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref35","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":"ref34","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhz281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI44817.2019.9003121"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105613"},{"key":"ref12","first-page":"1","article-title":"Neural network-based artifact detection in local field potentials recorded from chronically implanted neural probes","author":"fabietti","year":"2020","journal-title":"Proc IJCNN"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37078-7_12"},{"key":"ref14","first-page":"69","article-title":"Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets","author":"miah","year":"2020","journal-title":"ICAC Proc"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-020-09751-3"},{"key":"ref16","article-title":"One Shot Cluster based Approach for the Detection of COVID&#x2013;19 from Chest X&#x2013;Ray Images","author":"aradhya","year":"2020","journal-title":"Cogn Comput"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-019-09706-3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207721"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SKIMA47702.2019.8982449"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2889512"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-016-9399-3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-018-9397-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BRC.2012.6222169"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2790388"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1350692"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/12\/3\/031001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-37078-7_14"},{"key":"ref7","first-page":"1","article-title":"Deep Learning in Mining Biological Data","author":"mahmud","year":"2020","journal-title":"arXiv 2003 00108 [cs q-bio stat]"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03882-2_547"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI44817.2019.9002841"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/b14756-24"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2019.108485"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI.2017.8302146"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CyberSA49311.2020.9139655"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/BIOCAS.2018.8584791"},{"key":"ref25","article-title":"Automated classification of sleep stages and eeg artifacts in mice with deep learning","author":"schwabedal","year":"2018","journal-title":"arXiv preprint arXiv 1809 08443"}],"event":{"name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Canberra, ACT, Australia","start":{"date-parts":[[2020,12,1]]},"end":{"date-parts":[[2020,12,4]]}},"container-title":["2020 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9308061\/9308107\/09308165.pdf?arnumber=9308165","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:17:25Z","timestamp":1656602245000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9308165\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/ssci47803.2020.9308165","relation":{},"subject":[],"published":{"date-parts":[[2020,12,1]]}}}