{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:29:46Z","timestamp":1725888586334},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319590714"},{"type":"electronic","value":"9783319590721"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-59072-1_55","type":"book-chapter","created":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T02:41:58Z","timestamp":1496112118000},"page":"466-474","source":"Crossref","is-referenced-by-count":6,"title":["Cognitive Load Recognition Using Multi-channel Complex Network Method"],"prefix":"10.1007","author":[{"given":"Jian","family":"Shang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiang","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingshan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,31]]},"reference":[{"key":"55_CR1","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1023\/A:1022193728205","volume":"10","author":"J Sweller","year":"1998","unstructured":"Sweller, J., Van Merrienboer, J.J., Paas, F.G.: Cognitive architecture and instructional design. Educ. Psychol. Rev. 10, 251\u2013296 (1998)","journal-title":"Educ. Psychol. Rev."},{"key":"55_CR2","doi-asserted-by":"crossref","first-page":"8659","DOI":"10.1016\/j.eswa.2010.06.065","volume":"37","author":"A Subasi","year":"2010","unstructured":"Subasi, A., Gursoy, M.I.: EEG signal classification using PCA, ICA, LDA and support vector machines. Expert Syst. Appl. 37, 8659\u20138666 (2010)","journal-title":"Expert Syst. Appl."},{"key":"55_CR3","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/1741-2560\/4\/2\/R01","volume":"4","author":"F Lotte","year":"2007","unstructured":"Lotte, F., Congedo, M., L\u00e9cuyer, A., Lamarche, F., Arnaldi, B.: A review of classification algorithms for EEG-based brain-computer interfaces. J. Neural Eng. 4, R1\u2013R13 (2007)","journal-title":"J. Neural Eng."},{"key":"55_CR4","unstructured":"Bashivan, P., Rish, I., Yeasin, M., Codella, N.: Learning representations from EEG with deep recurrent-convolutional neural networks. arXiv preprint arXiv:1511.06448 (2015)"},{"key":"55_CR5","unstructured":"Graves, A., Liwicki, M., Bunke, H., Schmidhuber, J., Fern\u00e1ndez, S.: Unconstrained on-line handwriting recognition with recurrent neural networks. In: Advances in Neural Information Processing Systems, pp. 577\u2013584 (2008)"},{"key":"55_CR6","doi-asserted-by":"crossref","unstructured":"Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., Fei-Fei, L.: Large-scale video classification with convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1725\u20131732 (2014)","DOI":"10.1109\/CVPR.2014.223"},{"key":"55_CR7","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Proceedings of the Neural Information Processing Systems Conference and Workshop, pp. 1097\u20131105 (2012)"},{"key":"55_CR8","unstructured":"Zhang, X., LeCun, Y.: Text understanding from scratch. arXiv preprint arXiv:1502.01710 (2015)"},{"key":"55_CR9","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1016\/j.clinph.2009.09.002","volume":"120","author":"P Mirowski","year":"2009","unstructured":"Mirowski, P., Madhavan, D., LeCun, Y., Kuzniecky, R.: Classification of patterns of EEG synchronization for seizure prediction. Clin. Neurophysiol. 120, 1927\u20131940 (2009)","journal-title":"Clin. Neurophysiol."},{"key":"55_CR10","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/TPAMI.2010.125","volume":"33","author":"H Cecotti","year":"2011","unstructured":"Cecotti, H., Graser, A.: Convolutional neural networks for P300 detection with application to brain-computer interfaces. IEEE Trans. Pattern Anal. Mach. Intell. 33, 433\u2013445 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"55_CR11","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.eswa.2005.04.011","volume":"29","author":"NF G\u00fcler","year":"2005","unstructured":"G\u00fcler, N.F., \u00dcbeyli, E.D., G\u00fcler, I.: Recurrent neural networks employing Lyapunov exponents for EEG signals classification. Expert Syst. Appl. 29, 506\u2013514 (2005)","journal-title":"Expert Syst. Appl."},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"Spampinato, C., Palazzo, S., Kavasidis, I., Giordano, D., Shah, M., Souly, N.: Deep learning human mind for automated visual classification. arXiv preprint arXiv:1609.00344 (2016)","DOI":"10.1109\/CVPR.2017.479"},{"key":"55_CR13","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.eswa.2016.07.004","volume":"63","author":"M Diykh","year":"2016","unstructured":"Diykh, M., Li, Y.: Complex networks approach for EEG signal sleep stages classification. Expert Syst. Appl. 63, 241\u2013248 (2016)","journal-title":"Expert Syst. Appl."},{"key":"55_CR14","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.physa.2016.05.012","volume":"460","author":"J Wang","year":"2016","unstructured":"Wang, J., Yang, C., Wang, R., Yu, H., Cao, Y., Liu, J.: Functional brain networks in Alzheimers disease: EEG analysis based on limited penetrable visibility graph and phase space method. Physica A: Stat. Mech. Appl. 460, 174\u2013187 (2016)","journal-title":"Physica A: Stat. Mech. Appl."},{"key":"55_CR15","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.neucom.2015.05.133","volume":"188","author":"L He","year":"2016","unstructured":"He, L., Liu, B., Hu, D., Wen, Y., Wan, M., Long, J.: Motor imagery EEG signals analysis based on Bayesian network with Gaussian distribution. Neurocomputing 188, 217\u2013224 (2016)","journal-title":"Neurocomputing"},{"key":"55_CR16","volume-title":"Probabilistic Graphical Models: Principles and Techniques","author":"D Koller","year":"2009","unstructured":"Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press, Cambridge (2009)"},{"key":"55_CR17","doi-asserted-by":"crossref","first-page":"238701","DOI":"10.1103\/PhysRevLett.96.238701","volume":"96","author":"J Zhang","year":"2006","unstructured":"Zhang, J., Small, M.: Complex network from pseudoperiodic time series: topology versus dynamics. Phys. Rev. Lett. 96, 238701 (2006)","journal-title":"Phys. Rev. Lett."}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks - ISNN 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59072-1_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T06:52:19Z","timestamp":1569394339000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59072-1_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319590714","9783319590721"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59072-1_55","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}