{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T07:22:07Z","timestamp":1758266527853,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489420","type":"proceedings-article","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T18:25:09Z","timestamp":1539973509000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data"],"prefix":"10.1109","author":[{"given":"Xinxin","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shirui","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guodong","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengqi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Adversarially regularized graph autoencoder","author":"pan","year":"2018","journal-title":"arXiv preprint arxiv 1802 05807"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132967"},{"key":"ref12","first-page":"1895","article-title":"Tri-party deep network representation","author":"pan","year":"2016","journal-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence"},{"key":"ref13","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"arXiv preprint arXiv 1412 3555"},{"key":"ref14","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2037"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref18","first-page":"1","article-title":"Machine learning from imbalanced data sets 101","author":"provost","year":"2000","journal-title":"Proceedings of the AAAI2000 Workshop on Imbalanced Data Sets"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref4","first-page":"3111","article-title":"Distributed representations of words and phrases and their composi- tionality","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1007\/978-3-319-46182-3_13","article-title":"Towards effective classification of imbalanced data with convolutional neural networks","author":"raj","year":"2016","journal-title":"Workshop on Artificial Neural Networks in Pattern Recognition"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-15-S6-S6","article-title":"Functional and genetic analysis of the colon cancer network","volume":"15","author":"emmert-streib","year":"2014","journal-title":"BMC Bioinformatics"},{"journal-title":"&#x201C; Theory and applications of correspondence analysis &#x201D;","year":"1984","author":"greenacre","key":"ref6"},{"key":"ref5","first-page":"478","article-title":"Exponential family embeddings","author":"rudolph","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.251"},{"key":"ref7","first-page":"1605","article-title":"Embedding heterogeneous data using statistical models","volume":"21","author":"globerson","year":"2006","journal-title":"Proceedings of the National Conference on Artificial Intelligence"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7965880"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/369133.369228"},{"key":"ref20","first-page":"107","article-title":"Smoteboost: Improving prediction of the minority class in boosting","author":"chawla","year":"2003","journal-title":"European Conference on Principles of Data Mining and Knowledge Discovery"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2391115"},{"key":"ref21","first-page":"978","article-title":"The class imbalance problem in pattern classification and learning","author":"mollineda","year":"2007","journal-title":"II Congreso Espan&#x00F5;l de Informatica (CEDI 2007) ISBN"},{"key":"ref24","first-page":"1586","article-title":"Graph classification with imbalanced class distribu- tions and noise","author":"pan","year":"2013","journal-title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1109\/TCYB.2014.2341031","article-title":"Graph ensemble boosting for imbalanced noisy graph stream classification","volume":"45","author":"pan","year":"2015","journal-title":"IEEE Transactions on Cybernetics"},{"key":"ref26","article-title":"Cost-sensitive learning of deep feature representations from imbalanced data","author":"khan","year":"2017","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref25","article-title":"Cost-aware pre-training for multiclass cost-sensitive deep learning","author":"chung","year":"2015","journal-title":"arXiv preprint arXiv 1511 09337"}],"event":{"name":"2018 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2018,7,8]]},"location":"Rio de Janeiro","end":{"date-parts":[[2018,7,13]]}},"container-title":["2018 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8465565\/8488986\/08489420.pdf?arnumber=8489420","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T23:14:56Z","timestamp":1598224496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489420\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489420","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}