{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T06:35:24Z","timestamp":1769150124115,"version":"3.49.0"},"reference-count":50,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8851972","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":26,"title":["Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography"],"prefix":"10.1109","author":[{"given":"Ziqian","family":"Luo","sequence":"first","affiliation":[]},{"given":"Xiangrui","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Zhipeng","family":"Bao","sequence":"additional","affiliation":[]},{"given":"Min","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2002909"},{"key":"ref38","article-title":"Analysis of cnn-based speechrecog- nition system using raw speech as input","author":"palaz","year":"2015","journal-title":"Proceedings of Interspeech"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24586-5_52"},{"key":"ref32","first-page":"179","article-title":"Addressing the curse of imbalanced training sets: one-sided selection[C]","volume":"97","author":"kubat","year":"1997","journal-title":"ICML"},{"key":"ref31","article-title":"A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches","author":"galar","year":"2011","journal-title":"IEEE transactions on systems man and cyberneticspart c Applications and reviews"},{"key":"ref30","first-page":"467","article-title":"Relay backpropagation for effective learning of deep convolutional neural networks[C]","author":"shen","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref37","first-page":"45804584","article-title":"Convolu- tional, long short-term memory, fully connected deep neural networks","author":"sainath","year":"2015","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/761814"},{"key":"ref35","article-title":"Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers","author":"wyner","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/967900.968104"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref29","article-title":"A closer look at memorization in deep networks","author":"arpit","year":"2017","journal-title":"ICML"},{"key":"ref2","article-title":"A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation","author":"x","year":"2017","journal-title":"Journal of Structural Biology"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"13i","DOI":"10.1093\/bioinformatics\/btx230","article-title":"Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms[J]","volume":"33","author":"m","year":"2017","journal-title":"Bioinformatics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451386"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.12.035"},{"key":"ref21","author":"cubuk","year":"0","journal-title":"Intriguing properties of adversarial examples"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.4103\/2153-3539.186902"},{"key":"ref23","first-page":"34","article-title":"Age and gender classification using convolutional neural networks[C]","author":"levi","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.09.014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3233\/XST-16199"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2017.12.030"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.4115"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/nrmicro.2016.7"},{"key":"ref40","first-page":"12","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning[C]","volume":"4","author":"szegedy","year":"2017","journal-title":"AAAI"},{"key":"ref12","first-page":"221","volume":"242","author":"vanhecke","year":"2011","journal-title":"Cryo-electron tomography methodology developments and biological applications"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1242\/jcs.171967"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1083\/jcb.201304193","article-title":"Cryo-electron tomography: the challenge of doing structural biology in situ[J]","volume":"202","author":"lui","year":"2013","journal-title":"J Cell Biol"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1126\/science.1261197","article-title":"A molecular census of 26S proteasomes in intact neurons[J]","volume":"347","author":"s","year":"2015","journal-title":"Science"},{"key":"ref16","first-page":"82","volume":"217","author":"koning","year":"2018","journal-title":"Advances in cryo-electron tomography for biology and medicine"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.str.2010.06.006"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_55"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1201333109"},{"key":"ref4","article-title":"Image-derived generative modeling of pseudo-macromolecular structures-towards the statistical assessment of Electron CryoTomography template matching[J]","author":"wang","year":"2018"},{"key":"ref3","article-title":"Multi-task Learning for Macromolecule Classification","author":"c","year":"2018","journal-title":"Segmentation and Coarse Structural Recovery in Cryo-Tomography[J]"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/msb.2011.82"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty267"},{"key":"ref8","first-page":"562","article-title":"Deeply-supervised nets[C]","author":"lee","year":"2015","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2732482"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1017\/S0033583511000102"},{"key":"ref46","article-title":"A Review on Imbalanced Data Handling Using Undersampling and Oversampling Technique","volume":"3","author":"shelke","year":"2017","journal-title":"IJRTE"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref48","article-title":"mixup: Beyond empirical risk minimization[J]","author":"zhang","year":"2017"},{"key":"ref47","article-title":"A systematic study of the class imbalance problem in convolutional neural networks","author":"buda","year":"2017"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2161285"},{"key":"ref41","article-title":"Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data","volume":"18","author":"bhowanm","year":"2014","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.282"},{"key":"ref43","article-title":"Dataset augmentation in feature space","author":"devries","year":"2017","journal-title":"ICLR Workshop"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","location":"Budapest, Hungary","start":{"date-parts":[[2019,7,14]]},"end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08851972.pdf?arnumber=8851972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:51:49Z","timestamp":1658094709000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851972\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8851972","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}