{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:55:30Z","timestamp":1743116130014,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811534140"},{"type":"electronic","value":"9789811534157"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-3415-7_31","type":"book-chapter","created":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T19:02:58Z","timestamp":1585767778000},"page":"371-380","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Emotional Classification of\u00a0EEG Based on Convolutional Neural Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5087-7589","authenticated-orcid":false,"given":"Huiping","family":"Jiang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1569-9948","authenticated-orcid":false,"given":"Zequn","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7516-0469","authenticated-orcid":false,"given":"Rui","family":"Jiao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4613-2626","authenticated-orcid":false,"given":"Mei","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,4,2]]},"reference":[{"key":"31_CR1","unstructured":"Sutherland, M.: Generating brain waves that pierce attention, pp. 1\u20134 (2005). \nhttp:\/\/www.sutherlandsurvey.com\/"},{"issue":"3","key":"31_CR2","first-page":"209","volume":"28","author":"D Krapohl","year":"1999","unstructured":"Krapohl, D., Mcmanus, B.: An objective method for manually scoring polygraph data. Polygraph 28(3), 209\u2013222 (1999)","journal-title":"Polygraph"},{"issue":"7526","key":"31_CR3","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1038\/nature13772","volume":"515","author":"RS De","year":"2014","unstructured":"De, R.S., He, X., Goldberg, A.P., et al.: Synaptic, transcriptional and chromatin genes disrupted in autism. Nature 515(7526), 209\u2013215 (2014)","journal-title":"Nature"},{"issue":"7","key":"31_CR4","first-page":"1921","volume":"31","author":"J-W Liu","year":"2014","unstructured":"Liu, J.-W.: Research and development on deep learning. Appl. Res. Comput. 31(7), 1921\u20131930 (2014)","journal-title":"Appl. Res. Comput."},{"issue":"4","key":"31_CR5","first-page":"595","volume":"31","author":"D Niu","year":"2012","unstructured":"Niu, D.: A survey on EEG based emotion recognition. Chin. J. Biomed. Eng. 31(4), 595\u2013606 (2012)","journal-title":"Chin. J. Biomed. Eng."},{"issue":"3","key":"31_CR6","first-page":"761","volume":"38","author":"XM Jiang","year":"2017","unstructured":"Jiang, X.M.: Emotion recognition based on J48 decision tree classifier and results analysis. Comput. Eng. Des. 38(3), 761\u2013767 (2017)","journal-title":"Comput. Eng. Des."},{"issue":"2","key":"31_CR7","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1109\/TITB.2009.2038481","volume":"14","author":"C-A Frantzidis","year":"2010","unstructured":"Frantzidis, C.-A.: On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data-mining-based approach for healthcare applications. IEEE Trans. Inf Technol. Biomed. 14(2), 309\u2013318 (2010)","journal-title":"IEEE Trans. Inf Technol. Biomed."},{"key":"31_CR8","unstructured":"Bengio, Y.: Learning deep architectures for AI. Found. Trends\u00ae Mach. Learn. 2(1), 1\u2013127 (2009)"},{"issue":"4","key":"31_CR9","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1145\/1924421.1924446","volume":"54","author":"M Braverman","year":"2011","unstructured":"Braverman, M.: Poly-logarithmic independence fools bounded-depth Boolean circuits. Commun. ACM 54(4), 108 (2011)","journal-title":"Commun. ACM"},{"key":"31_CR10","doi-asserted-by":"crossref","unstructured":"Le, Q.V.: Building high-level features using large scale unsupervised learning. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8595\u20138598 (2013)","DOI":"10.1109\/ICASSP.2013.6639343"},{"issue":"1","key":"31_CR11","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1109\/TEVC.2018.2802784","volume":"23","author":"L Pan","year":"2018","unstructured":"Pan, L., He, C., Tian, Y., et al.: A classification based surrogate-assisted evolutionary algorithm for expensive many-objective optimization. IEEE Trans. Evol. Comput. 23(1), 74\u201388 (2018)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"31_CR12","unstructured":"Krizhevsky, A.: ImageNet classification with deep convolutional neural networks. NIPS, pp. 1097\u20131105. Curran Associates Inc. (2012)"},{"issue":"11","key":"31_CR13","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Lecun, Y.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"5786","key":"31_CR14","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"31_CR15","volume-title":"Research of EEG Based on Video Stimuli","author":"XY Song","year":"2016","unstructured":"Song, X.Y.: Research of EEG Based on Video Stimuli. Minzu University of China, Beijing (2016)"}],"container-title":["Communications in Computer and Information Science","Bio-inspired Computing: Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-3415-7_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T01:25:45Z","timestamp":1585790745000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-3415-7_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811534140","9789811534157"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-3415-7_31","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIC-TA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bio-Inspired Computing: Theories and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bicta2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.bicta.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"197","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"121","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}