{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T01:09:26Z","timestamp":1760404166527,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030200046"},{"type":"electronic","value":"9783030200053"}],"license":[{"start":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T00:00:00Z","timestamp":1556409600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-20005-3_6","type":"book-chapter","created":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T09:04:21Z","timestamp":1556355861000},"page":"57-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication"],"prefix":"10.1007","author":[{"given":"Nga","family":"Tran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dat","family":"Tran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuangzhe","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linh","family":"Trinh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tien","family":"Pham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,28]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.neucom.2015.04.025","volume":"166","author":"BC Armstrong","year":"2015","unstructured":"Armstrong, B.C., Ruiz-Blondet, M.V., Khalifian, N., Kurtz, K.J., Jin, Z., Laszlo, S.: Brainprint: assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing 166, 59\u201367 (2015)","journal-title":"Neurocomputing"},{"key":"6_CR2","unstructured":"Asuncion, A., Newman, D.: UCI machine learning repository. \n                    https:\/\/archive.ics.uci.edu\/ml\/index.php\n                    \n                   (2007)"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Batuwita, R., Palade, V.: Class imbalance learning methods for support vector machines. In: Imbalanced Learning: Foundations, Algorithms, and Applications, p. 83 (2013)","DOI":"10.1002\/9781118646106.ch5"},{"key":"6_CR4","unstructured":"Brunner, C., Leeb, R., M\u00fcller-Putz, G., Schl\u00f6gl, A., Pfurtscheller, G.: BCI competition 2008\u2013Graz data set A, pp. 136\u2013142. Institute for Knowledge Discovery (Laboratory of Brain-Computer Interfaces), Graz University of Technology (2008)"},{"issue":"3","key":"6_CR5","first-page":"27","volume":"2","author":"CC 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), 27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"issue":"3","key":"6_CR7","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support vector machine. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"key":"6_CR8","volume-title":"Practical Optimization","author":"PE Gill","year":"1981","unstructured":"Gill, P.E., Murray, W., Wright, M.H.: Practical Optimization. Academic Press, Cambridge (1981)"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Imam, T., Ting, K.M., Kamruzzaman, J.: z-SVM: an SVM for improved classification of imbalanced data. In: Australasian Joint Conference on Artificial Intelligence, pp. 264\u2013273. Springer (2006)","DOI":"10.1007\/11941439_30"},{"key":"6_CR10","unstructured":"Kubat, M., Matwin, S., et al.: Addressing the curse of imbalanced training sets: one-sided selection. In: ICML, vol. 97, pp. 179\u2013186, Nashville, USA (1997)"},{"key":"6_CR11","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.bspc.2014.08.014","volume":"15","author":"TS Kumar","year":"2015","unstructured":"Kumar, T.S., Kanhangad, V., Pachori, R.B.: Classification of seizure and seizure-free EEG signals using local binary patterns. Biomed. Signal Process. Control 15, 33\u201340 (2015)","journal-title":"Biomed. Signal Process. Control"},{"key":"6_CR12","unstructured":"Leeb, R., Brunner, C., M\u00fcller-Putz, G., Schl\u00f6gl, A., Pfurtscheller, G.: BCI competition 2008-Graz data set B. Graz University of Technology, Austria (2008)"},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.ins.2013.04.016","volume":"257","author":"A Maratea","year":"2014","unstructured":"Maratea, A., Petrosino, A., Manzo, M.: Adjusted F-measure and kernel scaling for imbalanced data learning. Inf. Sci. 257, 331\u2013341 (2014)","journal-title":"Inf. Sci."},{"key":"6_CR14","unstructured":"Marcel, S., Mill\u00e1n, J.d.R: Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 743\u2013752 (2007)"},{"issue":"3","key":"6_CR15","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1109\/TIFS.2017.2763124","volume":"13","author":"T Nakamura","year":"2018","unstructured":"Nakamura, T., Goverdovsky, V., Mandic, D.P.: In-ear EEG biometrics for feasible and readily collectable real-world person authentication. IEEE Trans. Inf. Forensics Secur. 13(3), 648\u2013661 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Nguyen, P., Tran, D., Huang, X., Ma, W.: Motor imagery EEG-based person verification. In: International Work-Conference on Artificial Neural Networks, pp. 430\u2013438. Springer (2013)","DOI":"10.1007\/978-3-642-38682-4_46"},{"issue":"3","key":"6_CR17","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s00357-017-9242-x","volume":"34","author":"H N\u00fa\u00f1ez","year":"2017","unstructured":"N\u00fa\u00f1ez, H., Gonzalez-Abril, L., Angulo, C.: Improving SVM classification on imbalanced datasets by introducing a new bias. J. Classif. 34(3), 427\u2013443 (2017)","journal-title":"J. Classif."},{"key":"6_CR18","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/TAU.1967.1161901","volume":"15","author":"P Welch","year":"1967","unstructured":"Welch, P.: The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust. 15, 70\u201373 (1967)","journal-title":"IEEE Trans. Audio Electroacoust."},{"issue":"2","key":"6_CR19","doi-asserted-by":"publisher","first-page":"335","DOI":"10.3390\/s18020335","volume":"18","author":"Q Wu","year":"2018","unstructured":"Wu, Q., Zeng, Y., Zhang, C., Tong, L., Yan, B.: An EEG-based person authentication system with open-set capability combining eye blinking signals. Sensors 18(2), 335 (2018)","journal-title":"Sensors"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Yeom, S.K., Suk, H.I., Lee, S.W.: EEG-based person authentication using face stimuli. In: 2013 International Winter Workshop on Brain-Computer Interface (BCI), pp. 58\u201361. IEEE (2013)","DOI":"10.1109\/IWW-BCI.2013.6506630"},{"key":"6_CR21","unstructured":"Z\u00faquete, A., Quintela, B., da Silva Cunha, J.P.: Biometric authentication using brain responses to visual stimuli. In: Biosignals, pp. 103\u2013112 (2010)"}],"container-title":["Advances in Intelligent Systems and Computing","International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019)"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20005-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T04:08:22Z","timestamp":1558152502000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20005-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,28]]},"ISBN":["9783030200046","9783030200053"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20005-3_6","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,4,28]]},"assertion":[{"value":"28 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CISIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computational Intelligence in Security for Information Systems Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cisis2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.cisisconference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}