{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:48:34Z","timestamp":1777502914249,"version":"3.51.4"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030368012","type":"print"},{"value":"9783030368029","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-36802-9_47","type":"book-chapter","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T18:03:03Z","timestamp":1575568983000},"page":"440-447","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluation on Neural Network Models for Video-Based Stress Recognition"],"prefix":"10.1007","author":[{"given":"Alvin","family":"Kennardi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo","family":"Plested","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"issue":"1","key":"47_CR1","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.compeleceng.2013.11.024","volume":"40","author":"G Chandrashekar","year":"2014","unstructured":"Chandrashekar, G., Sahin, F.: A survey on feature selection methods. Comput. Electr. Eng. 40(1), 16\u201328 (2014). https:\/\/doi.org\/10.1016\/j.compeleceng.2013.11.024","journal-title":"Comput. Electr. Eng."},{"key":"47_CR2","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back propagating errors. Nature 323, 533\u2013536 (1986). https:\/\/doi.org\/10.1038\/323533a0","journal-title":"Nature"},{"key":"47_CR3","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1142\/S0129065797000227","volume":"8","author":"TD Gedeon","year":"1997","unstructured":"Gedeon, T.D.: Data mining of inputs: analysing magnitude and functional measures. Int. J. Neural Syst. 8, 209\u2013218 (1997). https:\/\/doi.org\/10.1142\/S0129065797000227","journal-title":"Int. J. Neural Syst."},{"key":"47_CR4","unstructured":"Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: AISTATS (2011)"},{"issue":"8","key":"47_CR5","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997). https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput."},{"key":"47_CR6","doi-asserted-by":"publisher","unstructured":"Irani, R., Nasrollahi, K., Dhall, A., Moeslund, T.B., Gedeon, T.: Thermal super-pixels for bimodal stress recognition. In: 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 1\u20136 (2016). https:\/\/doi.org\/10.1109\/IPTA.2016.7821002","DOI":"10.1109\/IPTA.2016.7821002"},{"key":"47_CR7","unstructured":"Maas, A.L., Hannun, A.Y., Ng, A.Y.: Rectifier nonlinearities improve neural network acoustic models. In: ICML Workshop on Deep Learning for Audio, Speech and Language Processing (2013)"},{"issue":"1","key":"47_CR8","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s10994-005-1505-9","volume":"61","author":"J Neumann","year":"2005","unstructured":"Neumann, J., Schn\u00f6rr, C., Steidl, G.: Combined SVM-based feature selection and classification. Mach. Learn. 61(1), 129\u2013150 (2005). https:\/\/doi.org\/10.1007\/s10994-005-1505-9","journal-title":"Mach. Learn."},{"key":"47_CR9","doi-asserted-by":"publisher","unstructured":"Ng, A.Y.: Feature selection, L1 vs. L2 regularization, and rotational invariance. In: Proceedings of the Twenty-First International Conference on Machine Learning, ICML 2004, p. 78. ACM, New York (2004). https:\/\/doi.org\/10.1145\/1015330.1015435","DOI":"10.1145\/1015330.1015435"},{"issue":"1","key":"47_CR10","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/S0893-6080(98)00116-6","volume":"12","author":"N Qian","year":"1999","unstructured":"Qian, N.: On the momentum term in gradient descent learning algorithms. Neural Netw. 12(1), 145\u2013151 (1999). https:\/\/doi.org\/10.1016\/S0893-6080(98)00116-6","journal-title":"Neural Netw."},{"issue":"1","key":"47_CR11","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1186\/1687-5281-2014-28","volume":"2014","author":"N Sharma","year":"2014","unstructured":"Sharma, N., Dhall, A., Gedeon, T., Goecke, R.: Thermal spatio-temporal data for stress recognition. EURASIP J. Image Video Process. 2014(1), 28 (2014). https:\/\/doi.org\/10.1186\/1687-5281-2014-28","journal-title":"EURASIP J. Image Video Process."},{"issue":"1","key":"47_CR12","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014). http:\/\/dl.acm.org\/citation.cfm?id=2627435.2670313","journal-title":"J. Mach. Learn. Res."}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36802-9_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:54:37Z","timestamp":1710262477000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-36802-9_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030368012","9783030368029"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36802-9_47","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}