{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:26:52Z","timestamp":1730266012736,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/ijcnn.2018.8489138","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":["A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder"],"prefix":"10.1109","author":[{"given":"Yaoming","family":"Cai","sequence":"first","affiliation":[]},{"given":"Zhihua","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Meng","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Xiaobo","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Jia","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Guangjun","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","first-page":"1","article-title":"Multiple structure-view learning for graph classification","year":"2018","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"ref31","first-page":"590","article-title":"Multi-graph-view learning for graph classification","year":"2014","journal-title":"2014 IEEE International Conference on Data Mining"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.05.019"},{"key":"ref10","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","first-page":"1","article-title":"Stacked denoise autoencoder based feature extraction and classification for hyperspectral images","volume":"2016","year":"2015","journal-title":"Journal of Sensors 2016 (2015-11-30)"},{"key":"ref13","article-title":"Stacked sparse autoencoder in hyperspectral data classification using spectral-spatial, higher order statistics and multifractal spectrum features","volume":"86","year":"2017","journal-title":"Infrared Physics & Technology"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","year":"2006","journal-title":"Science"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"985","DOI":"10.1109\/IJCNN.2004.1380068","article-title":"Extreme learning machine: a new learning scheme of feedforward neural networks","volume":"2","year":"2004","journal-title":"Neural Networks 2004 Proceedings 2004 IEEE International Joint Conference on"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2363492"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2481713"},{"key":"ref18","first-page":"31","article-title":"Representational learning with elms for big data","volume":"28","year":"2013","journal-title":"IEEE Intelligent Systems"},{"key":"ref19","first-page":"1","article-title":"Hierarchical extreme learning machine for unsupervised representation learning","year":"0","journal-title":"Int Joint Conf Neural Networks (IJCNN) 2015"},{"first-page":"770","article-title":"Deep residual learning for image recognition","year":"2015","key":"ref4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.03.001"},{"journal-title":"2016 International Joint Conference on Neural Networks (IJCNN)","article-title":"Training deep neural networks on imbalanced data sets","year":"2016","key":"ref3"},{"key":"ref6","first-page":"6645","article-title":"Speech recognition with deep recurrent neural networks","year":"2013","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2540798"},{"journal-title":"Extreme Learning Machine Based on Evolutionary Multi-objective Optimization","first-page":"420","year":"2017","key":"ref29"},{"key":"ref8","first-page":"1","article-title":"Self-adaptive probability estimation for naive bayes classification","year":"2013","journal-title":"The 2013 International Joint Conference on Neural Networks (IJCNN)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1504\/IJCAT.2012.047164"},{"key":"ref2","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","year":"2012","journal-title":"International Conference on Neural Information Processing Systems"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","year":"2015","journal-title":"Nature"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-013-0279-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2458702"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2482520"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2424995"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2570569"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2008.919172"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2290086"}],"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\/08489138.pdf?arnumber=8489138","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T20:37:53Z","timestamp":1598215073000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8489138\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2018.8489138","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}