{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T16:32:05Z","timestamp":1755793925472,"version":"3.37.3"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006754","name":"U.S. Army Research Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/globecom46510.2021.9685826","type":"proceedings-article","created":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T21:59:04Z","timestamp":1643839144000},"page":"1-7","source":"Crossref","is-referenced-by-count":10,"title":["ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Sayyed Farid","family":"Ahamed","sequence":"first","affiliation":[{"name":"Virginia Modeling, Analysis and Simulation Center, Old Dominion University,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priyanka","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Virginia Modeling, Analysis and Simulation Center, Old Dominion University,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sachin","family":"Shetty","sequence":"additional","affiliation":[{"name":"Virginia Modeling, Analysis and Simulation Center, Old Dominion University,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erin","family":"Lanus","sequence":"additional","affiliation":[{"name":"Hume Center, Virginia Tech,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura J.","family":"Freeman","sequence":"additional","affiliation":[{"name":"Virginia Tech,Dept. of Statistics,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.019"},{"key":"ref11","first-page":"4805","article-title":"Spot-tune: transfer learning through adaptive fine-tuning","author":"guo","year":"0","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093635"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5824"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s13635-019-0084-4"},{"journal-title":"Kaggle datasets","year":"0","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICSTW.2013.77"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICSTW52544.2021.00025"},{"key":"ref4","first-page":"1","article-title":"Active learning for accuracy enhancement of semantic segmentation with cnn-corrected label curations: Evaluation on kidney segmentation in abdominal ct","volume":"10","author":"kim","year":"2020","journal-title":"Scientific Reports"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-018-0639-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.9"},{"key":"ref5","article-title":"Transfer learning from pre-trained models","author":"marcelino","year":"2018","journal-title":"Towards Data Science"},{"key":"ref8","first-page":"27","article-title":"Transfer learning using convolutional neural networks for face anti-spoofing","author":"lucena","year":"0","journal-title":"Proceedings of the International Conference on Image Analysis and Recognition"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SYSCON.2019.8836784"},{"key":"ref2","article-title":"A machine learning application for raising wash awareness in the times of covid-19 pandemic","author":"pandey","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2018.10.046"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICoAC48765.2019.246880"}],"event":{"name":"GLOBECOM 2021 - 2021 IEEE Global Communications Conference","start":{"date-parts":[[2021,12,7]]},"location":"Madrid, Spain","end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Global Communications Conference (GLOBECOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9685019\/9685006\/09685826.pdf?arnumber=9685826","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T00:59:16Z","timestamp":1670374756000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9685826\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/globecom46510.2021.9685826","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}