{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T04:31:36Z","timestamp":1746246696021,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031059353"},{"type":"electronic","value":"9783031059360"}],"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.springer.com\/tdm"},{"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.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-05936-0_9","type":"book-chapter","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:07:09Z","timestamp":1652198829000},"page":"109-121","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Attention-to-Embedding Framework for\u00a0Multi-instance Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1347-1963","authenticated-orcid":false,"given":"Mei","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6302-2352","authenticated-orcid":false,"given":"Yu-Xuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-8702","authenticated-orcid":false,"given":"Mao","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3290-1036","authenticated-orcid":false,"given":"Fan","family":"Min","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,11]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1162\/tacl_a_00002","volume":"6","author":"S Angelidis","year":"2018","unstructured":"Angelidis, S., Lapata, M.: Multiple instance learning networks for fine-grained sentiment analysis. Trans. Assoc. Comput. Linguist. 6, 17\u201331 (2018)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"9_CR2","unstructured":"Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate (2014)"},{"issue":"12","key":"9_CR3","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1109\/TPAMI.2006.248","volume":"28","author":"YX Chen","year":"2006","unstructured":"Chen, Y.X., Bi, J.B., Wang, J.Z.: MILES: multiple-instance learning via embedded instance selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 1931\u20131947 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1\u20132","key":"9_CR4","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/S0004-3702(96)00034-3","volume":"89","author":"TG Dietterich","year":"1997","unstructured":"Dietterich, T.G., Lathrop, R.H., Lozano-P\u00e9rez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artif. Intell. 89(1\u20132), 31\u201371 (1997)","journal-title":"Artif. Intell."},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Fu, J.L., Zheng, H.L., Mei, T.: Look closer to see better: recurrent attention convolutional neural network for fine-grained image recognition. In: Computer Vision and Pattern Recognition, pp. 4438\u20134446 (2017)","DOI":"10.1109\/CVPR.2017.476"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"He, C.K., Shao, J., Zhang, J.S., Zhou, X.M.: Clustering-based multiple instance learning with multi-view feature. Expert Syst. Appl. 162, 113027 (2020)","DOI":"10.1016\/j.eswa.2019.113027"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Hong, R.C., Wang, M., Gao, Y., Tao, D.C., Li, X.L., Wu, X.D.: Image annotation by multiple-instance learning with discriminative feature mapping and selection. IEEE Trans. Cybern. 44(5), 669\u2013680 (2014)","DOI":"10.1109\/TCYB.2013.2265601"},{"key":"9_CR8","unstructured":"Ilse, M., Tomczak, J., Welling, M.: Attention-based deep multiple instance learning. In: International Conference on Machine Learning, pp. 2127\u20132136 (2018)"},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Shi, X.S., Xing, F.Y., Xie, Y.P., Zhang, Z.Z., Cui, L., Yang, L.: Loss-based attention for deep multiple instance learning. In: Association for the Advancement of Artificial Intelligence, pp. 5742\u20135749 (2020)","DOI":"10.1609\/aaai.v34i04.6030"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.knosys.2014.01.008","volume":"59","author":"DS Tarrag\u00f3","year":"2014","unstructured":"Tarrag\u00f3, D.S., Cornelis, C., Bello, R., Herrera, F.: A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. Knowl.-Based Syst. 59, 173\u2013181 (2014)","journal-title":"Knowl.-Based Syst."},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.patcog.2017.08.026","volume":"74","author":"XG Wang","year":"2016","unstructured":"Wang, X.G., Yan, Y.L., Tang, P., Bai, X., Liu, W.Y.: Revisiting multiple instance neural networks. Pattern Recogn. 74, 15\u201324 (2016)","journal-title":"Pattern Recogn."},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Wei, X.S., Wu, J.X., Zhou, Z.H.: Scalable algorithms for multi-instance learning. IEEE Trans. Neural Netw. Learn. Syst. 28(4), 975\u2013987 (2017)","DOI":"10.1109\/TNNLS.2016.2519102"},{"key":"9_CR13","doi-asserted-by":"crossref","unstructured":"Wu, J., Pan, S., Zhu, X., Zhang, C., Wu, X.: Multi-instance learning with discriminative bag mapping. IEEE Trans. Knowl. Data Eng. 30(6), 1065\u20131080 (2018)","DOI":"10.1109\/TKDE.2017.2788430"},{"key":"9_CR14","doi-asserted-by":"crossref","unstructured":"Xu, B.C., Ting, K.M., Zhou, Z.H.: Isolation set-kernel and its application to multi-instance learning. In: Special Interest Group on Knowledge Discovery and Data Mining, pp. 941\u2013949 (2019)","DOI":"10.1145\/3292500.3330830"},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Yang, M., Zhang, Y.X., Wang, X.Z., Min, F.: Multi-instance ensemble learning with discriminative bags. IEEE Trans. Syst.Man Cybern. Syst., 1\u201312 (2021)","DOI":"10.1109\/TSMC.2021.3125040"},{"issue":"1","key":"9_CR16","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s10489-007-0111-x","volume":"31","author":"ML Zhang","year":"2009","unstructured":"Zhang, M.L., Zhou, Z.H.: Multi-instance clustering with applications to multi-instance prediction. Appl. Intell. 31(1), 47\u201368 (2009)","journal-title":"Appl. Intell."},{"key":"9_CR17","unstructured":"Zhang, W.J., Liu, L., Li, J.Y.: Robust multi-instance learning with stable instances, pp. 1682\u20131689. arXiv:1902.05066 (2020)"},{"key":"9_CR18","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s10489-005-5602-z","volume":"22","author":"ZH Zhou","year":"2005","unstructured":"Zhou, Z.H., Jiang, K., Li, M.: Multi-instance learning based web mining. Appl. Intell. 22, 135\u2013147 (2005)","journal-title":"Appl. Intell."},{"key":"9_CR19","doi-asserted-by":"crossref","unstructured":"Zhou, Z.H., Sun, Y.Y., Li, Y.F.: Multi-instance learning by treating instances as non-I.I.D. samples. In: International Conference on Machine Learning, pp. 1249\u20131256 (2009)","DOI":"10.1145\/1553374.1553534"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-05936-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T16:05:09Z","timestamp":1654531509000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-05936-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031059353","9783031059360"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-05936-0_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PAKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific-Asia Conference on Knowledge Discovery and Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chengdu","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pakdd2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/pakdd.net\/index.html","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"558","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":"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":"3.75","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":"6.45","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)"}}]}}