{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:00:57Z","timestamp":1743040857133,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030711863"},{"type":"electronic","value":"9783030711870"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-71187-0_105","type":"book-chapter","created":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T05:04:54Z","timestamp":1622610294000},"page":"1134-1144","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Tuning Hyperparameters on Unbalanced Medical Data Using Support Vector Machine and Online and Active SVM"],"prefix":"10.1007","author":[{"given":"Walid","family":"Ksiaa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fahmi Ben","family":"Rejab","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaouther","family":"Nouira","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"issue":"3","key":"105_CR1","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1504\/IJSISE.2018.093268","volume":"11","author":"AA AlBeladi","year":"2018","unstructured":"AlBeladi, A.A., Muqaibel, A.H.: Evaluating compressive sensing algorithms in through-the-wall radar via f1-score. Int. J. Signal Imaging Syst. Eng. 11(3), 164\u2013171 (2018)","journal-title":"Int. J. Signal Imaging Syst. Eng."},{"key":"105_CR2","unstructured":"Albon, C.: Svc parameters when using RBF kernel (2017). https:\/\/chrisalbon.com\/machine_learning\/support_vector_machines\/svc_parameters_using_rbf_kernel\/. Accessed 14 Oct 2020"},{"key":"105_CR3","doi-asserted-by":"crossref","unstructured":"Bordes A., Bottou, L.: The huller: a simple and efficient on-line SVM. In: European Conference on Machine Learning, pp. 505\u2013512. Springer (2005)","DOI":"10.1007\/11564096_48"},{"key":"105_CR4","first-page":"1579","volume":"6","author":"A Bordes","year":"2005","unstructured":"Bordes, A., Ertekin, S., Weston, J., Bottou, L.: Fast kernel classifiers with online and active learning. J. Mach. Learn. Res. 6, 1579\u20131619 (2005)","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"105_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. (TIST) 2(3), 1\u201327 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"issue":"1","key":"105_CR6","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1186\/s12864-019-6413-7","volume":"21","author":"D Chicco","year":"2020","unstructured":"Chicco, D., Jurman, G.: The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation. BMC Genomics 21(1), 6 (2020)","journal-title":"BMC Genomics"},{"key":"105_CR7","unstructured":"Cornu\u00e9jols, A., Miclet, L.: Apprentissage artificiel. eyrolles. Livre r\u00e9f\u00e9rence en fran\u00e7ais sur l\u2019apprentissage artificiel (2002)"},{"key":"105_CR8","unstructured":"Horv\u00e1th, G.: Neural networks in measurement systems. Advances in learning theory: methods, models and applications, pp. 375\u2013402 (2003)"},{"key":"105_CR9","unstructured":"Huilgol, P.: Accuracy vs f1-score (2019). https:\/\/medium.com\/analytics-vidhya\/accuracy-vs-f1-score-6258237beca2. Accessed 20 Oct 2020"},{"key":"105_CR10","doi-asserted-by":"crossref","unstructured":"Ilse, M., Tomczak, J.M., Welling, M.: Deep multiple instance learning for digital histopathology. In: Handbook of Medical Image Computing and Computer Assisted Intervention, pp. 521\u2013546. Elsevier (2020)","DOI":"10.1016\/B978-0-12-816176-0.00027-2"},{"key":"105_CR11","unstructured":"Narkhede, S.: Understanding auc-roc curve. Towards Data. Science 26, (2018)"},{"key":"105_CR12","doi-asserted-by":"crossref","unstructured":"Padierna, L.C., Carpio, M., Rojas, A., Puga, H., Baltazar, R., Fraire, H.: Hyper-parameter tuning for support vector machines by estimation of distribution algorithms. In: Nature-Inspired Design of Hybrid Intelligent Systems, pp. 787\u2013800. Springer (2017)","DOI":"10.1007\/978-3-319-47054-2_53"},{"key":"105_CR13","doi-asserted-by":"crossref","unstructured":"Pizer, S.M., Marron, J.M.: Object statistics on curved manifolds. In: Statistical Shape and Deformation Analysis, pp. 137\u2013164. Elsevier (2017)","DOI":"10.1016\/B978-0-12-810493-4.00007-9"},{"key":"105_CR14","doi-asserted-by":"crossref","unstructured":"Ben Rejab F., Nouira, K., Trabelsi, A.: RTSVM: real time support vector machines. In: 2014 Science and Information Conference, pp. 1038\u20131042. IEEE (2014)","DOI":"10.1109\/SAI.2014.6918318"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-71187-0_105","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,2]],"date-time":"2021-06-02T05:31:45Z","timestamp":1622611905000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-71187-0_105"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030711863","9783030711870"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-71187-0_105","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"3 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda20\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}