{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:50:04Z","timestamp":1742953804513,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031328824"},{"type":"electronic","value":"9783031328831"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-32883-1_47","type":"book-chapter","created":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T23:03:16Z","timestamp":1684710196000},"page":"530-540","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Approach to Automatic Flight Deviation Detection"],"prefix":"10.1007","author":[{"given":"Massimo","family":"Pietracupa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamdi","family":"Ben Abdessalem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claude","family":"Frasson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,22]]},"reference":[{"key":"47_CR1","doi-asserted-by":"publisher","unstructured":"Helmreich, R.L.: On error management: lessons from aviation. BMJ 320(7237), 781\u2013785 (2000). https:\/\/doi.org\/10.1136\/bmj.320.7237.781. PMID: 10720367; PMCID: PMC1117774","DOI":"10.1136\/bmj.320.7237.781"},{"key":"47_CR2","doi-asserted-by":"crossref","unstructured":"Mehmood, A., Maqsood, M., Bashir, M., Shuyuan, Y.: Deep Siamese convolution neural network for multi-class classification of Alzheimer disease. Brain Sci. 10(2), 84 (2020)","DOI":"10.3390\/brainsci10020084"},{"key":"47_CR3","first-page":"1","volume":"60","author":"Yang","year":"2022","unstructured":"Yang, et al.: Asymmetric Siamese networks for semantic change detection in aerial images. IEEE Trans. Geosci. Remote Sens. 60, 1\u201318 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"47_CR4","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.jbi.2018.07.022","volume":"85","author":"S Yang","year":"2018","unstructured":"Yang, S., Sarcevic, A., Farneth, R.A., Chen, S., Marsic, O.Z.A.I., Burd, R.S.: An approach to automatic process deviation detection in a time-critical clinical process. J. Biomed. Inform. 85, 155\u2013167 (2018)","journal-title":"J. Biomed. Inform."},{"key":"47_CR5","doi-asserted-by":"publisher","unstructured":"Frische, F., Mistrzyk, T., L\u00fcdtke, A.: Detection of pilot errors in data by combining task modeling and model checking. In: Gross, T., et al. (eds.) INTERACT 2009. LNCS, vol. 5726, pp. 528\u2013531. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-03655-2_59","DOI":"10.1007\/978-3-642-03655-2_59"},{"key":"47_CR6","unstructured":"Christov, S., Avrunin, G., Clarke, L.: Online deviation detection for medical. In: AMIA Annual Symposium Proceedings (2004)"},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"Courtemanche, M.-A., Tato, A., Nkambou, R.: Ontological Reference Model for Piloting Procedures. Bucharest, Romania (2022)","DOI":"10.1007\/978-3-031-09680-8_9"},{"key":"47_CR8","unstructured":"W3C. Web Ontology Language (OWL) (2012)"},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"Chao, J., Tang, F., Xu, L.: Developments in algorithms for sequence alignment: a review. Biomolecules 546 (2022)","DOI":"10.3390\/biom12040546"},{"key":"47_CR10","doi-asserted-by":"crossref","unstructured":"Rose, J., Eisenmenger, F.: A fast unbiased comparison of protein structures by means of the Needleman-Wunsch algorithm. J. Mol. Evol. 340\u2013354 (1991)","DOI":"10.1007\/BF02102193"},{"key":"47_CR11","unstructured":"An, N.: Anomalies detection and tracking using Siamese neural networks. Master dissertation, Computer and Information Science, Auckland University of Technology, New Zealand (2019). https:\/\/openrepository.aut.ac.nz\/handle\/10292\/13525. Accessed 17 Dec 2021"},{"key":"47_CR12","doi-asserted-by":"crossref","unstructured":"He, A., Luo, C., Tian, X., Zeng, W.: A twofold Siamese network for real-time object tracking. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018)","DOI":"10.1109\/CVPR.2018.00508"},{"key":"47_CR13","unstructured":"Koch, G., Zemel, R., Salakhutdinov, R.: Siamese neural networks for one-shot image recognition. Department of Computer Science, University of Toronto, Canada (2015). https:\/\/www.cs.cmu.edu\/~rsalakhu\/papers\/oneshot1.pdf. Accessed 19 Dec 2021"}],"container-title":["Lecture Notes in Computer Science","Augmented Intelligence and Intelligent Tutoring Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-32883-1_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,21]],"date-time":"2023-05-21T23:13:13Z","timestamp":1684710793000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-32883-1_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031328824","9783031328831"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-32883-1_47","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ITS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Tutoring Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Corfu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"its2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iis-international.org\/its2023\/","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":"Easy chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"84","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":"41","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":"19","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":"49% - 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)"}}]}}