{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T14:42:25Z","timestamp":1726152145198},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030934194"},{"type":"electronic","value":"9783030934200"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-93420-0_28","type":"book-chapter","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T05:46:22Z","timestamp":1642052782000},"page":"291-300","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Interpreting Decision Patterns in\u00a0Financial Applications"],"prefix":"10.1007","author":[{"given":"Tiago","family":"Faria","sequence":"first","affiliation":[]},{"given":"Catarina","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Bernardete","family":"Ribeiro","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"issue":"61","key":"28_CR1","first-page":"1803","volume":"11","author":"D Baehrens","year":"2010","unstructured":"Baehrens, D., Schroeter, T., Harmeling, S., Kawanabe, M., Hansen, K., M\u00fcller, K.R.: How to explain individual classification decisions. J. Mach. Learn. Res. 11(61), 1803\u20131831 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Bucilu\u01ce, C., Caruana, R., Niculescu-Mizil, A.: Model compression. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD\u201906, pp. 535\u2013541. Association for Computing Machinery, New York (2006)","DOI":"10.1145\/1150402.1150464"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Caruana, R., Lou, Y., Gehrke, J., Koch, P., Sturm, M., Elhadad, N.: Intelligible models for HealthCare. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, August 2015","DOI":"10.1145\/2783258.2788613"},{"key":"28_CR4","unstructured":"Che, Z., Purushotham, S., Khemani, R., Liu, Y.: Distilling knowledge from deep networks with applications to healthcare domain (2015)"},{"key":"28_CR5","doi-asserted-by":"publisher","first-page":"58546","DOI":"10.1109\/ACCESS.2020.2983300","volume":"8","author":"N Dhieb","year":"2020","unstructured":"Dhieb, N., Ghazzai, H., Besbes, H., Massoud, Y.: A secure AI-driven architecture for automated insurance systems: fraud detection and risk measurement. IEEE Access 8, 58546\u201358558 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2983300","journal-title":"IEEE Access"},{"key":"28_CR6","unstructured":"Dua, D., Graff, C.: UCI machine learning repository (2017). http:\/\/archive.ics.uci.edu\/ml"},{"key":"28_CR7","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. In: NIPS Deep Learning and Representation Learning Workshop (2015)"},{"key":"28_CR8","doi-asserted-by":"publisher","first-page":"160749","DOI":"10.1109\/ACCESS.2020.3020802","volume":"8","author":"TKK Ho","year":"2020","unstructured":"Ho, T.K.K., Gwak, J.: Utilizing knowledge distillation in deep learning for classification of chest X-ray abnormalities. IEEE Access 8, 160749\u2013160761 (2020)","journal-title":"IEEE Access"},{"key":"28_CR9","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: Why should I trust you?: explaining the predictions of any classifier (2016)","DOI":"10.1145\/2939672.2939778"},{"key":"28_CR10","doi-asserted-by":"publisher","unstructured":"Ryll, L., et al.: Transforming paradigms: a global AI in financial services survey. SSRN Electron. J. (2020). https:\/\/doi.org\/10.2139\/ssrn.3532038","DOI":"10.2139\/ssrn.3532038"},{"key":"28_CR11","unstructured":"Sarkar, S., Weyde, T., Garcez, A., Slabaugh, G., Dragicevic, S., Percy, C.: Accuracy and interpretability trade-offs in machine learning applied to safer gambling. In: CoCo@NIPS (2016)"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Tan, S., Caruana, R., Hooker, G., Lou, Y.: Distill-and-compare. In: Proceedings of the 2018 AAAI\/ACM Conference on AI, Ethics, and Society, December 2018","DOI":"10.1145\/3278721.3278725"},{"issue":"24","key":"28_CR13","doi-asserted-by":"publisher","first-page":"18069","DOI":"10.1007\/s00521-019-04051-w","volume":"32","author":"A Vellido","year":"2019","unstructured":"Vellido, A.: The importance of interpretability and visualization in machine learning for applications in medicine and health care. Neural Comput. Appl. 32(24), 18069\u201318083 (2019). https:\/\/doi.org\/10.1007\/s00521-019-04051-w","journal-title":"Neural Comput. Appl."},{"key":"28_CR14","unstructured":"Xu, K., Park, D.H., Yi, C., Sutton, C.: Interpreting deep classifier by visual distillation of dark knowledge. arXiv e-prints arXiv:1803.04042, March 2018"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93420-0_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,7]],"date-time":"2022-05-07T23:05:42Z","timestamp":1651964742000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93420-0_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030934194","9783030934200"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93420-0_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"13 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CIARP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Congress on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"10 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ciarp2020.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":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","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":"45","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":"55% - 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":"2","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":"2","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}