{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T02:48:13Z","timestamp":1788749293565,"version":"build-2803163510"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032159861","type":"print"},{"value":"9783032159878","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-15987-8_20","type":"book-chapter","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T20:27:52Z","timestamp":1769718472000},"page":"300-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Complexity and\u00a0Instance Hardness Measures in\u00a0Transferability Evaluation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5074-7842","authenticated-orcid":false,"given":"Derick W. B.","family":"Rangel","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6585-8380","authenticated-orcid":false,"given":"Alfredo A. A. Exposito De","family":"Queiroz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6140-571X","authenticated-orcid":false,"given":"Ana C.","family":"Lorena","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"20_CR1","unstructured":"Bao, H., Wei, Y., Zhang, B., Yu, N.: Towards assessing the transferability of features in deep neural networks (2019)"},{"key":"20_CR2","doi-asserted-by":"publisher","unstructured":"Brazdil, P., Van\u00a0Rijn, J.N., Soares, C., Vanschoren, J.: Metalearning: Applications to Automated Machine Learning and Data Mining. Springer Nature, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-67024-5","DOI":"10.1007\/978-3-030-67024-5"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Cimpoi, M., Maji, S., Kokkinos, I., Mohamed, S., Vedaldi, A.: Describing textures in the wild (2014)","DOI":"10.1109\/CVPR.2014.461"},{"key":"20_CR4","unstructured":"Ding, Y., Jiang, B., Yu, A., Zheng, A., Liang, J.: Which model to transfer? A survey on transferability estimation. arXiv preprint arXiv:2402.15231 (2024)"},{"key":"20_CR5","unstructured":"Dutt, G.: Ants and bees. Hymenoptera (2019). https:\/\/www.kaggle.com\/gauravduttakiit\/ants-bees"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Garcia, L.P., Lorena, A.C., de Souto, M.C., Ho, T.K.: Classifier Recommendation Using Data Complexity Measures, pp. 874\u2013879. IEEE (2018)","DOI":"10.1109\/ICPR.2018.8545110"},{"key":"20_CR7","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press (2016)"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"20_CR9","doi-asserted-by":"publisher","unstructured":"Hern\u00e1ndez-Reyes, E., Carrasco-Ochoa, J.A., Mart\u00ednez-Trinidad, J.F.: Classifier selection based on data complexity measures. In: Sanfeliu, A., Cort\u00e9s, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11578079_61","DOI":"10.1007\/11578079_61"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Ho, T.K., Basu, M.: Complexity measures of supervised classification problems. IEEE Trans. Pattern Anal. Mach. Intell. 24(3), 289\u2013300 (2002)","DOI":"10.1109\/34.990132"},{"key":"20_CR11","unstructured":"Jiang, J., Shu, Y., Wang, J.: Transferability in deep learning: a survey. arXiv preprint arXiv:2201.05867 (2022)"},{"key":"20_CR12","doi-asserted-by":"publisher","unstructured":"Khan, A., Sohail, A., Zahoora, U., Qureshi, A.S.: A survey of the recent architectures of deep convolutional neural networks. Artif. Intell. Rev. 53(8), 5455\u20135516 (2020). https:\/\/doi.org\/10.1007\/s10462-020-09825-6","DOI":"10.1007\/s10462-020-09825-6"},{"key":"20_CR13","unstructured":"Krizhevsky, A.: One weird trick for parallelizing convolutional neural networks (2014). http:\/\/arxiv.org\/abs\/1404.5997"},{"key":"20_CR14","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images. Tech. rep., Technical Report (2009), cifar10"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","DOI":"10.1038\/nature14539"},{"key":"20_CR16","doi-asserted-by":"publisher","unstructured":"Lorena, A.C., Garcia, L.P.F., Lehmann, J., Souto, M.C.P., Ho, T.K.: How complex is your classification problem? A survey on measuring classification complexity. ACM Comput. Surv. 52(5), 1\u201334 (2019). https:\/\/doi.org\/10.1145\/3347711","DOI":"10.1145\/3347711"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Lorena, A.C., Paiva, P.Y., Prud\u00eancio, R.B.: Trusting my predictions: on the value of instance-level analysis. ACM Comput. Surv. 56(7), 1\u201328 (2024)","DOI":"10.1145\/3615354"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Luengo, J., Herrera, F.: An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowl. Inf. Syst. 42, 147\u2013180 (2015)","DOI":"10.1007\/s10115-013-0700-4"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval. Cambridge University Press, New York, NY, USA (2008)","DOI":"10.1017\/CBO9780511809071"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Mansilla, E.B., Ho, T.K.: On classifier domains of competence, vol. 1, pp. 136\u2013139. IEEE (2004)","DOI":"10.1109\/ICPR.2004.1334026"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Mor\u00e1n-Fern\u00e1ndez, L., Bol\u00f3n-Canedo, V., Alonso-Betanzos, A.: Can classification performance be predicted by complexity measures? A study using microarray data. Knowl. Inf. Syst. 51, 1067\u20131090 (2017)","DOI":"10.1007\/s10115-016-1003-3"},{"key":"20_CR22","unstructured":"Nguyen, C.V., Hassner, T., Belongie, S., Koltun, V., Yang, T.J.: LEEP: a new measure to evaluate transferability of learned representations. In: Proceedings of Machine Learning Research (IMCL), vol.\u00a0119, pp. 7294\u20137305 (2020)"},{"key":"20_CR23","doi-asserted-by":"crossref","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2009)","DOI":"10.1109\/TKDE.2009.191"},{"key":"20_CR24","unstructured":"Rajpurkar, P., et al.: CheXNet: radiologist-level pneumonia detection on chest x-rays with deep learning (2017)"},{"key":"20_CR25","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition (2015)"},{"key":"20_CR26","doi-asserted-by":"crossref","unstructured":"Smith, M.R., Martinez, T., Giraud-Carrier, C.: An instance level analysis of data complexity. Mach. Learn. 95(2), 225\u2013256 (2014)","DOI":"10.1007\/s10994-013-5422-z"},{"key":"20_CR27","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"20_CR28","doi-asserted-by":"crossref","unstructured":"Tiwari, R.G., Misra, A., Ujjwal, N.: Image embedding and classification using pre-trained deep learning architectures, pp. 125\u2013130. IEEE (2022)","DOI":"10.1109\/ICSC56524.2022.10009560"},{"key":"20_CR29","unstructured":"Weiss, S.M., Kulikowski, C.A.: Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems, 5th edn. Morgan Kaufmann, San Francisco, CA (2016)"},{"key":"20_CR30","doi-asserted-by":"crossref","unstructured":"Xie, M., Jean, N., Burke, M., Lobell, D., Ermon, S.: Transfer learning from deep features for remote sensing and poverty mapping (2016)","DOI":"10.1609\/aaai.v30i1.9906"},{"key":"20_CR31","doi-asserted-by":"crossref","unstructured":"Xie, S., Girshick, R., Dollar, P., Tu, Z., He, K.: Aggregated residual transformations for deep neural networks. In: CVPR 2017 (2017)","DOI":"10.1109\/CVPR.2017.634"},{"key":"20_CR32","doi-asserted-by":"publisher","unstructured":"Xue, Y., Yang, R., Chen, X., Liu, W., Wang, Z., Liu, X.: A review on transferability estimation in deep transfer learning. IEEE Trans. Artif. Intell. 5(12), 5894\u20135914 (2024). https:\/\/doi.org\/10.1109\/TAI.2024.3445892","DOI":"10.1109\/TAI.2024.3445892"},{"key":"20_CR33","unstructured":"You, K., Long, M., Cao, Z., Wang, J.: LogME: practical assessment of pre-trained models for transfer learning. In: International Conference on Machine Learning, Proceedings of Machine Learning Research, vol.\u00a0139, pp. 12133\u201312143 (2021)"},{"key":"20_CR34","doi-asserted-by":"crossref","unstructured":"Zagoruyko, S., Komodakis, N.: Wide residual networks. In: BMVC 2016 (2016)","DOI":"10.5244\/C.30.87"},{"key":"20_CR35","doi-asserted-by":"crossref","unstructured":"Zhuang, F., et al.: A comprehensive survey on transfer learning. Proc. IEEE 109(1), 43\u201376 (2020)","DOI":"10.1109\/JPROC.2020.3004555"}],"container-title":["Lecture Notes in Computer Science","Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-15987-8_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T20:28:01Z","timestamp":1769718481000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-15987-8_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032159861","9783032159878"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-15987-8_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"30 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BRACIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Conference on Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fortaleza-CE","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bracis2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bracis.sbc.org.br\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}