{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:19:24Z","timestamp":1743038364714,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030623647"},{"type":"electronic","value":"9783030623654"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-62365-4_20","type":"book-chapter","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T06:02:51Z","timestamp":1603951371000},"page":"202-210","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On Analysing Similarity Knowledge Transfer by Ensembles"],"prefix":"10.1007","author":[{"given":"Danilo","family":"Pereira","sequence":"first","affiliation":[]},{"given":"Fl\u00e1vio","family":"Santos","sequence":"additional","affiliation":[]},{"given":"Leonardo N.","family":"Matos","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Novais","sequence":"additional","affiliation":[]},{"given":"Cleber","family":"Zanchettin","sequence":"additional","affiliation":[]},{"given":"Teresa B.","family":"Ludermir","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,27]]},"reference":[{"key":"20_CR1","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, pp. 535\u2013541. ACM (2006)","DOI":"10.1145\/1150402.1150464"},{"key":"20_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/978-3-319-19644-2_29","volume-title":"Hybrid Artificial Intelligent Systems","author":"D Carneiro","year":"2015","unstructured":"Carneiro, D., Novais, P., P\u00eago, J.M., Sousa, N., Neves, J.: Using mouse dynamics to assess stress during online exams. In: Onieva, E., Santos, I., Osaba, E., Quinti\u00e1n, H., Corchado, E. (eds.) HAIS 2015. LNCS (LNAI), vol. 9121, pp. 345\u2013356. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19644-2_29"},{"key":"20_CR3","unstructured":"Chen, T., Goodfellow, I., Shlens, J.: Net2net: accelerating learning via knowledge transfer. arXiv preprint arXiv:1511.05641 (2015)"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Cho, J.H., Hariharan, B.: On the Efficacy of Knowledge Distillation (2019)","DOI":"10.1109\/ICCV.2019.00489"},{"key":"20_CR5","unstructured":"Furlanello, T., Lipton, Z.C., Tschannen, M., Itti, L., Anandkumar, A.: Born Again Neural Networks (2018)"},{"key":"20_CR6","unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)"},{"key":"20_CR7","unstructured":"Krizhevsky, A.: Learning Multiple Layers of Features From Tiny Images. University of Toronto (05 2009)"},{"key":"20_CR8","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1093\/jigpal\/jzq029","volume":"19","author":"L Lima","year":"2011","unstructured":"Lima, L., Novais, P., Costa, R., Bulas-Cruz, J., Neves, J.: Group decision making and quality-of-information in e-health systems. Log. J. IGPL 19, 315\u2013332 (2011). https:\/\/doi.org\/10.1093\/jigpal\/jzq029","journal-title":"Log. J. IGPL"},{"key":"20_CR9","unstructured":"Malinin, A., Gales, M.: Predictive uncertainty estimation via prior networks. In: Advances in Neural Information Processing Systems, pp. 7047\u20137058 (2018)"},{"key":"20_CR10","unstructured":"Malinin, A., Mlodozeniec, B., Gales, M.: Ensemble Distribution Distillation (2019)"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Mirzadeh, S.I., Farajtabar, M., Li, A., Levine, N., Matsukawa, A., Ghasemzadeh, H.: Improved Knowledge Distillation Via Teacher Assistant (2019)","DOI":"10.1609\/aaai.v34i04.5963"},{"issue":"3","key":"20_CR12","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1109\/TNNLS.2018.2851924","volume":"30","author":"N Passalis","year":"2019","unstructured":"Passalis, N., Tefas, A.: Unsupervised knowledge transfer using similarity embeddings. IEEE Trans. Neural Netw. Learn. Syst. 30(3), 946\u2013950 (2019). https:\/\/doi.org\/10.1109\/TNNLS.2018.2851924","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"20_CR13","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/978-3-642-40846-5_23","volume-title":"Hybrid Artificial Intelligent Systems","author":"A Pimenta","year":"2013","unstructured":"Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns. In: Pan, J.-S., Polycarpou, M.M., Wo\u017aniak, M., de Carvalho, A.C.P.L.F., Quinti\u00e1n, H., Corchado, E. (eds.) HAIS 2013. LNCS (LNAI), vol. 8073, pp. 222\u2013231. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40846-5_23"},{"key":"20_CR14","unstructured":"Romero, A., Ballas, N., Kahou, S.E., Chassang, A., Gatta, C., Bengio, Y.: Fitnets: hints for thin deep nets. arXiv preprint arXiv:1412.6550 (2014)"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Tang, Z., Wang, D., Zhang, Z.: Recurrent neural network training with dark knowledge transfer. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5900\u20135904. IEEE (2016)","DOI":"10.1109\/ICASSP.2016.7472809"},{"key":"20_CR16","unstructured":"Tian, Y., Krishnan, D., Isola, P.: Contrastive Representation Distillation (2019)"},{"key":"20_CR17","unstructured":"Yang, C., Xie, L., Qiao, S., Yuille, A.: Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students (2018)"},{"key":"20_CR18","unstructured":"Zagoruyko, S., Komodakis, N.: Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks Via Attention Transfer (2016)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62365-4_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:05:37Z","timestamp":1710266737000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62365-4_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030623647","9783030623654"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62365-4_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"27 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guimaraes","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/islab.di.uminho.pt\/ideal2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","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":"134","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":"93","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":"69% - 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":"2.8","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)"}},{"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)"}}]}}