{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T13:44:21Z","timestamp":1748439861896,"version":"3.37.3"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3005664","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T21:49:10Z","timestamp":1593467350000},"page":"119516-119526","source":"Crossref","is-referenced-by-count":9,"title":["Different Contextual Window Sizes Based RNNs for Multimodal Emotion Detection in Interactive Conversations"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6114-2959","authenticated-orcid":false,"given":"Helang","family":"Lai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2799-5250","authenticated-orcid":false,"given":"Hongying","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7917-493X","authenticated-orcid":false,"given":"Shuangyan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CC.2013.6549266"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/technologies6010017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2672829"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477679"},{"key":"ref30","first-page":"287","article-title":"Survey of various approaches of emotion detection via multimodal approach","volume":"4","author":"abin","year":"2017","journal-title":"Int Res J Eng Technol"},{"key":"ref37","first-page":"26","article-title":"Textbased emotion transformation analysis","volume":"9","author":"yang","year":"2011","journal-title":"Computing in Science & Eng"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.riob.2008.04.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/02654075030205002"},{"article-title":"Emotion detection and expression integration in dialog systems","year":"2019","author":"herzig","key":"ref34"},{"key":"ref60","first-page":"281","article-title":"Random search for hyper-parameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.134"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1115"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16272-6_11"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR.2018.00043"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2017.8172404"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-016-0685-9"},{"journal-title":"Semantic Audiovisual Data Fusion for Automatic Emotion Recognition","year":"2008","author":"datcu","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1037\/0003-066X.48.4.384"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220648"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2023607.2023629"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/s131115549"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14000-6_2"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997632"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref59","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref58","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.20"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/2388676.2388776"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-6486.2012.01087.x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1037\/a0024756"},{"key":"ref40","article-title":"Memory networks","author":"weston","year":"2014","journal-title":"arXiv 1410 3916"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/0956797610372634"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1193"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1067"},{"journal-title":"Handbook of Signal Processing Systems","year":"2018","author":"bhattacharyya","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.4324\/9780203769836"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2200\/S00762ED1V01Y201703HLT037"},{"journal-title":"Representation and Understanding Studies in Cognitive Science","year":"2017","author":"collins","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.07.041"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.02.003"},{"key":"ref6","article-title":"MELD: A multimodal multi-party dataset for emotion recognition in conversations","author":"poria","year":"2018","journal-title":"arXiv 1810 02508"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929050"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1280"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2788081"},{"key":"ref7","first-page":"1","article-title":"Emotional chatting machine: Emotional conversation generation with internal and external memory","author":"zhou","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-3085(00)22002-9"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.06.011"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2911656"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2016.7820699"},{"key":"ref47","first-page":"1","article-title":"Memory fusion network for multi-view sequential learning","author":"zadeh","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2018.07.001"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2806394"},{"key":"ref44","first-page":"1378","article-title":"Ask me anything: Dynamic memory networks for natural language processing","author":"kumar","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883637"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09127905.pdf?arnumber=9127905","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:53:00Z","timestamp":1639770780000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9127905\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3005664","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}