{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T08:11:33Z","timestamp":1743149493148,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031109850"},{"type":"electronic","value":"9783031109867"}],"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\/978-3-031-10986-7_41","type":"book-chapter","created":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T22:30:36Z","timestamp":1658183436000},"page":"508-519","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Interpretability Algorithm of Neural Network Based on Neural Support Decision Tree"],"prefix":"10.1007","author":[{"given":"Li","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wohuan","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiacheng","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuntao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,19]]},"reference":[{"issue":"10","key":"41_CR1","first-page":"2071","volume":"56","author":"SL Ji","year":"2019","unstructured":"Ji, S.L., Li, J.F., Du, T.Y., Li, B.: Review on interpretability methods, applications and security of machine learning models. Comput. Res. Dev. 56(10), 2071\u20132096 (2019)","journal-title":"Comput. Res. Dev."},{"issue":"1","key":"41_CR2","first-page":"39","volume":"26","author":"F Wu","year":"2019","unstructured":"Wu, F., Liao, B.B., Han, Y.H.: Interpretability of deep learning. Aviation Weapon 26(1), 39\u201346 (2019)","journal-title":"Aviation Weapon"},{"issue":"5","key":"41_CR3","first-page":"1097","volume":"141","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Neural Inf. Process. Syst. 141(5), 1097\u20131105 (2012)","journal-title":"Neural Inf. Process. Syst."},{"key":"41_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"},{"key":"41_CR5","first-page":"647","volume":"32","author":"J Donahue","year":"2014","unstructured":"Donahue, J., Jia, Y., Hoffman, J., Darrell, T.: Decaf: A deep convolutional activation feature for generic visual recognition. Proc. Int. Conf. Mach. Learn. 32, 647\u2013655 (2014)","journal-title":"Proc. Int. Conf. Mach. Learn."},{"issue":"9","key":"41_CR6","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1109\/5.784219","volume":"87","author":"Y Xin","year":"1999","unstructured":"Xin, Y.: Evolving artificial neural networks. Proc. IEEE 87(9), 1423\u20131447 (1999)","journal-title":"Proc. IEEE"},{"issue":"1\/2\/3","key":"41_CR7","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s10107-003-0396-4","volume":"98","author":"D Bertsimas","year":"2003","unstructured":"Bertsimas, D., Sim, M.: Robust discrete optimization and network flows. Math. Program. 98(1\/2\/3), 49\u201371 (2003)","journal-title":"Math. Program."},{"key":"41_CR8","doi-asserted-by":"crossref","unstructured":"Eitel, A., Springenberg, J.T., Spinello, L., Riedmiller, M.: Multimodal deep learning for robust RGB-D object recognition. IEEE\/RSJ Int. Conf. Intell. Robots Syst. (IROS), 681\u2013687 (2015)","DOI":"10.1109\/IROS.2015.7353446"},{"issue":"8","key":"41_CR9","doi-asserted-by":"publisher","first-page":"730","DOI":"10.1109\/TAC.1985.1104056","volume":"30","author":"M Milanese","year":"1985","unstructured":"Milanese, M., Tempo, R.: Optimal algorithms theory for robust estimation and prediction. IEEE Trans. Autom. Control 30(8), 730\u2013738 (1985)","journal-title":"IEEE Trans. Autom. Control"},{"key":"41_CR10","first-page":"1885","volume":"70","author":"PW Koh","year":"2017","unstructured":"Koh, P.W., Liang, P.: Understanding black-box predictions via influence functions. Int. Conf. Mach. Learn. 70, 1885\u20131894 (2017)","journal-title":"Int. Conf. Mach. Learn."},{"key":"41_CR11","doi-asserted-by":"crossref","unstructured":"Reitmayr, G., Drummond, T.: Going out: Robust model-based tracking for outdoor augmented reality. IEEE\/ACM Int. Symp. Mixed Augmented Reality, 109\u2013118 (2006)","DOI":"10.1109\/ISMAR.2006.297801"},{"key":"41_CR12","first-page":"3145","volume":"70","author":"A Shrikumar","year":"2017","unstructured":"Shrikumar, A., Greenside, P., Kundaje, A.: Learning important features through propagating activation differences. Int. Conf. Mach. Learn. 70, 3145\u20133153 (2017)","journal-title":"Int. Conf. Mach. Learn."},{"issue":"10","key":"41_CR13","first-page":"31","volume":"61","author":"ZC Lipton","year":"2016","unstructured":"Lipton, Z.C.: The mythos of model interpretability. Commun. ACM 61(10), 31\u201357 (2016)","journal-title":"Commun. ACM"},{"key":"41_CR14","first-page":"1436","volume":"48","author":"T Zhou","year":"2020","unstructured":"Zhou, T., Huo, B.Q., Lu, H.L., Ren, H.L.: Residual neural network and its application in medical image processing. J. Electron. 48, 1436\u20131447 (2020)","journal-title":"J. Electron."},{"key":"41_CR15","unstructured":"Huang, R.R.: Application of deep learning in military aircraft recognition and detection. Lanzhou University (2020)"},{"key":"41_CR16","unstructured":"Wan, A., Dunlap, L., Ho, D., Yin, J.: NBDT: Neural-backed decision trees. arXiv:2004.00221 (2020)"},{"issue":"3","key":"41_CR17","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vision 115(3), 211\u2013252 (2015). https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int. J. Comput. Vision"},{"key":"41_CR18","first-page":"1208","volume":"6","author":"KY Cheng","year":"2020","unstructured":"Cheng, K.Y., Wang, N., Shi, W.X.: Research progress on interpretability of deep learning. Comput. Res. Dev. 6, 1208\u20131217 (2020)","journal-title":"Comput. Res. Dev."},{"key":"41_CR19","unstructured":"Gao, L., Fan, B.B., Huang, S.: Improved convolution neural network image classification algorithm based on residual. Comput. Syst. Appl., 139\u2013144(2019)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10986-7_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T22:37:33Z","timestamp":1658183853000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10986-7_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031109850","9783031109867"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10986-7_41","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":"19 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","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":"6 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ksem22.smart-conf.net\/index.html","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":"498","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":"169","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":"34% - 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":"10","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)"}}]}}