{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:04:12Z","timestamp":1743044652014,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031213847"},{"type":"electronic","value":"9783031213854"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21385-4_12","type":"book-chapter","created":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T05:03:52Z","timestamp":1670907832000},"page":"135-143","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive Convolution Neural Networks for Facial Emotion Recognition"],"prefix":"10.1007","author":[{"given":"P. V. S.","family":"Lakshmi","sequence":"first","affiliation":[]},{"given":"Haritha","family":"Akkineni","sequence":"additional","affiliation":[]},{"given":"Ande","family":"Hanika","sequence":"additional","affiliation":[]},{"given":"Padmaja","family":"Grandhe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,14]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Li, J., Jin, K., Zhou, D., Kubota, N., Ju, Z.: Attention mechanism-based CNN for facial expression recognition. Neurocomputing 411, 340\u2013350 (2020). https:\/\/doi.org\/10.1016\/j.neucom.2020.06.014","key":"12_CR1","DOI":"10.1016\/j.neucom.2020.06.014"},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"7183","DOI":"10.1109\/ACCESS.2020.2964298","volume":"8","author":"X Sun","year":"2020","unstructured":"Sun, X., Zheng, S., Fu, H.: ROI-attention vectorized CNN model for static facial expression recognition. IEEE Access 8, 7183\u20137194 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2964298","journal-title":"IEEE Access"},{"issue":"2","key":"12_CR3","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/s00371-019-01630-9","volume":"36","author":"A Agrawal","year":"2019","unstructured":"Agrawal, A., Mittal, N.: Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy. Vis. Comput. 36(2), 405\u2013412 (2019). https:\/\/doi.org\/10.1007\/s00371-019-01630-9","journal-title":"Vis. Comput."},{"issue":"1","key":"12_CR4","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1080\/10584587.2021.1911313","volume":"217","author":"K Sun","year":"2021","unstructured":"Sun, K., et al.: The facial expression recognition method based on image fusion and CNN. Integr. Ferroelectr. 217(1), 198\u2013213 (2021). https:\/\/doi.org\/10.1080\/10584587.2021.1911313","journal-title":"Integr. Ferroelectr."},{"issue":"3","key":"12_CR5","doi-asserted-by":"publisher","first-page":"833","DOI":"10.3390\/s21030833","volume":"21","author":"X Liang","year":"2021","unstructured":"Liang, X., et al.: Patch attention layer of embedding handcrafted features in CNN for facial expression recognition. Sensors 21(3), 833 (2021). https:\/\/doi.org\/10.3390\/s21030833","journal-title":"Sensors"},{"key":"12_CR6","doi-asserted-by":"publisher","first-page":"76224","DOI":"10.1109\/access.2021.3082694","volume":"9","author":"Q Wei","year":"2021","unstructured":"Wei, Q.: Saliency maps-based convolutional neural networks for facial expression recognition. IEEE Access 9, 76224\u201376234 (2021). https:\/\/doi.org\/10.1109\/access.2021.3082694","journal-title":"IEEE Access"},{"issue":"5","key":"12_CR7","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.3390\/s21051589","volume":"21","author":"A Nandi","year":"2021","unstructured":"Nandi, A., Xhafa, F., Subirats, L., Fort, S.: Real-time emotion classification using EEG data stream in e-learning contexts. Sensors. 21(5), 1589 (2021). https:\/\/doi.org\/10.3390\/s21051589","journal-title":"Sensors."},{"doi-asserted-by":"publisher","unstructured":"Huang, C., Trabelsi, A., Qin, X., Farruque, N., Mou, L., Za\u00efane, O.: Seq2Emo: A sequence to multi-label emotion classification model. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021). https:\/\/doi.org\/10.18653\/v1\/2021.naacl-main.375","key":"12_CR8","DOI":"10.18653\/v1\/2021.naacl-main.375"},{"unstructured":"Grandhe, P., Reddy, D. E., Vasumathi, D.: An adaptive cluster based image search and retrieve for interactive ROI to MRI image filtering, segmentation , and registration (2016).","key":"12_CR9"},{"issue":"4","key":"12_CR10","doi-asserted-by":"publisher","first-page":"644","DOI":"10.4066\/biomedicalresearch.29-17-1723","volume":"29","author":"P Grandhe","year":"2018","unstructured":"Grandhe, P., Reddy, E.S., Devara, V.: Adaptive analysis and reconstruction of 3D DICOM images using enhancement based SBIR algorithm over MRI. Biomed. Res. 29(4), 644\u2013653 (2018)","journal-title":"Biomed. Res."}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence and Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21385-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T15:26:18Z","timestamp":1691594778000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21385-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031213847","9783031213854"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21385-4_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"14 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hyderabad","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaids2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/icaids.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"195","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":"43","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":"22% - 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":"4","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":"4","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)"}}]}}