{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T19:25:01Z","timestamp":1769541901650,"version":"3.49.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671723","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T15:39:16Z","timestamp":1642088356000},"page":"978-984","source":"Crossref","is-referenced-by-count":5,"title":["TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Md Adnan","family":"Arefeen","sequence":"first","affiliation":[{"name":"University of Missouri,Kansas City,MO,USA"}]},{"given":"Sumaiya","family":"Tabassum Nimi","sequence":"additional","affiliation":[{"name":"University of Missouri,Kansas City,MO,USA"}]},{"given":"Md Yusuf","family":"Sarwar Uddin","sequence":"additional","affiliation":[{"name":"University of Missouri,Kansas City,MO,USA"}]},{"given":"Yugyung","family":"Lee","sequence":"additional","affiliation":[{"name":"University of Missouri,Kansas City,MO,USA"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref32","article-title":"Keras","author":"chollet","year":"2015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00060"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref34","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref10","article-title":"Categorical reparameterization with gumbel-softmax","author":"jang","year":"2016"},{"key":"ref11","article-title":"Self-attention-based deep feature fusion for remote sensing scene classification","author":"cao","year":"2020","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01287"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018368"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10826","article-title":"Distant domain transfer learning","volume":"31","author":"tan","year":"2017","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6617"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00316"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP42928.2021.9506524"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-5004"},{"key":"ref27","article-title":"Caltech-256 object category dataset","author":"griffin","year":"2007"},{"key":"ref3","first-page":"3347","article-title":"Transfusion: understanding transfer learning for medical imaging","author":"raghu","year":"2019","journal-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5824"},{"key":"ref29","first-page":"1310","article-title":"On the difficulty of training recurrent neural networks","author":"pascanu","year":"2013","journal-title":"International Conference on Machine Learning"},{"key":"ref5","year":"0","journal-title":"Model zoo"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00494"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.07.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.10.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00047"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05549-4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403079"},{"key":"ref26","year":"0","journal-title":"Visual domain decathlon"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.383"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671723.pdf?arnumber=9671723","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T05:37:04Z","timestamp":1769492224000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671723\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671723","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}