{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T07:13:31Z","timestamp":1760426011034,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"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":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534311","type":"proceedings-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T16:40:52Z","timestamp":1632242452000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks"],"prefix":"10.1109","author":[{"given":"Ziyu","family":"Wei","sequence":"first","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Xiao","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangwu","family":"Hu","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Information Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shutao","family":"Xia","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School, Tsinghua University,Peng Cheng Laboratory"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3188729"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-19274-7_11"},{"key":"ref10","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5393"},{"key":"ref12","first-page":"1251","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"chollet","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref14","first-page":"1189","article-title":"Greedy function approximation: a gradient boosting machine","author":"friedman","year":"2001","journal-title":"Annals of Statistics"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"ref16","article-title":"Learning reporting dynamics during breaking news for rumour detection in social media","author":"zubiaga","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741637"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.12"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2019.02.003"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489582"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2350190.2350203"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806607"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271709"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.61"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11268","article-title":"Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks","author":"liu","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1066"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.29007\/wcl4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1184"},{"key":"ref1","article-title":"Fighting the covid-19 infodemic: Modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society","author":"alam","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref22","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref21","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"journal-title":"A convolutional approach for misinformation identification","year":"2017","author":"yu","key":"ref24"},{"key":"ref23","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"journal-title":"Detecting Rumors from Microblogs with Recurrent Neural Networks","year":"2016","author":"ma","key":"ref26"},{"key":"ref25","first-page":"40","article-title":"Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection","author":"chen","year":"2018","journal-title":"Pacific-Asia Conference on Knowledge Discovery and Data Mining"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534311.pdf?arnumber=9534311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T16:52:40Z","timestamp":1673283160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534311\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534311","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}