{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:02:19Z","timestamp":1784736139571,"version":"3.55.0"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/cec55065.2022.9870285","type":"proceedings-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T19:28:14Z","timestamp":1662492494000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification"],"prefix":"10.1109","author":[{"given":"Brendan","family":"Rogers","sequence":"first","affiliation":[{"name":"School of Information and Physical Sciences, The University of Newcastle,Callaghan,Australia,2308"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nasimul","family":"Noman","sequence":"additional","affiliation":[{"name":"School of Information and Physical Sciences, The University of Newcastle,Callaghan,Australia,2308"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephan","family":"Chalup","sequence":"additional","affiliation":[{"name":"School of Information and Physical Sciences, The University of Newcastle,Callaghan,Australia,2308"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pablo","family":"Moscato","sequence":"additional","affiliation":[{"name":"School of Information and Physical Sciences, The University of Newcastle,Callaghan,Australia,2308"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"142","article-title":"Learning word vectors for sentiment analysis","author":"andrew","year":"0","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219855"},{"key":"ref33","article-title":"Neural architecture search with reinforce-ment learning","author":"zoph","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref32","article-title":"Neunets: An automated synthesis engine for neural network design","author":"sood","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE50665.2020.9291769"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CEC45853.2021.9504920"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/4235.735432"},{"key":"ref36","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","author":"richard","year":"0","journal-title":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6462"},{"key":"ref34","article-title":"Transfer learning with neural automl","volume":"31","author":"wong","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-06222-4_13"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-02621-3_15"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/RoboMech.2017.8261132"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.62"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.08.035"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982225"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005823"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00847-5_42"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-3685-4_8"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169811"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2018.8477735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.29007\/7ksb"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.01.006"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICOEI.2019.8862599"},{"key":"ref10","article-title":"Attention is all you need","volume":"30","author":"ashish","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Disan: Directional self-attention network for rnn\/cnn-free language understanding","volume":"32","author":"shen","year":"0","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/1072228.1072378"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2972338"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185851"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16468-7_8"},{"key":"ref15","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref17","first-page":"225","article-title":"Dimensional sentiment analysis using a regional cnn-Istm model","author":"wang","year":"0","journal-title":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2 Short Papers)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486482"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0212320"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2916183"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.07.022"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-815480-9.00015-3"},{"key":"ref8","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2018.11.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CEC45853.2021.9504719"},{"key":"ref45","first-page":"5753","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","author":"zhilin","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref48","first-page":"2428","article-title":"Combination of convolutional and recurrent neural network for sentiment analysis of short texts","author":"wang","year":"0","journal-title":"Proceedings of COLING 2016 the 26th International Conference on Computational Linguistics Technical Papers"},{"key":"ref47","first-page":"6256","article-title":"Unsupervised data augmentation for consistency training","volume":"33","author":"xie","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/AITB48515.2019.8947435"},{"key":"ref41","first-page":"12","article-title":"A la carte embedding: Cheap but effective induction of semantic feature vectors","author":"mikhail","year":"0","journal-title":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers)"},{"key":"ref44","article-title":"Universal sentence encoder","author":"cer","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.197"}],"event":{"name":"2022 IEEE Congress on Evolutionary Computation (CEC)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 IEEE Congress on Evolutionary Computation (CEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9870216\/9870201\/09870285.pdf?arnumber=9870285","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T21:15:29Z","timestamp":1664226929000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9870285\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/cec55065.2022.9870285","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}