{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:08:46Z","timestamp":1742911726764,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319245737"},{"type":"electronic","value":"9783319245744"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","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":[[2015]]},"DOI":"10.1007\/978-3-319-24574-4_64","type":"book-chapter","created":{"date-parts":[[2015,9,24]],"date-time":"2015-09-24T07:03:02Z","timestamp":1443078182000},"page":"535-542","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Learning with Heterogeneous Data for Longitudinal Studies"],"prefix":"10.1007","author":[{"given":"Letizia","family":"Squarcina","sequence":"first","affiliation":[]},{"given":"Cinzia","family":"Perlini","sequence":"additional","affiliation":[]},{"given":"Marcella","family":"Bellani","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Lasalvia","sequence":"additional","affiliation":[]},{"given":"Mirella","family":"Ruggeri","sequence":"additional","affiliation":[]},{"given":"Paolo","family":"Brambilla","sequence":"additional","affiliation":[]},{"given":"Umberto","family":"Castellani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,18]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Bach, F.R., Lanckriet, G.R.G., Jordan, M.I.: Multiple kernel learning, conic duality, and the smo algorithm. In: ICML 2004, pp. 41\u201348 (2004)","key":"64_CR1","DOI":"10.1145\/1015330.1015424"},{"key":"64_CR2","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1016\/j.neuroimage.2011.06.044","volume":"58","author":"E. Castro","year":"2011","unstructured":"Castro, E., Mart\u00ednez-Ram\u00f3n, M., Pearlson, G., Sui, J., Calhoun, V.D.: Characterization of groups using composite kernels and multi-source fmri analysis data: Application to schizophrenia. Neuroimage\u00a058, 526\u2013536 (2011)","journal-title":"Neuroimage"},{"issue":"2","key":"64_CR3","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1006\/nimg.1998.0395","volume":"9","author":"A.M. Dale","year":"1999","unstructured":"Dale, A.M., Fischl, B., Sereno, M.I.: Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage\u00a09(2), 179\u2013194 (1999)","journal-title":"Neuroimage"},{"issue":"1","key":"64_CR4","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/s11263-012-0592-x","volume":"103","author":"S. Durrleman","year":"2013","unstructured":"Durrleman, S., Pennec, X., Trouv\u00e9, A., Braga, J., Gerig, G., Ayache, N.: Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data. International Journal of Computer Vision\u00a0103(1), 22\u201359 (2013)","journal-title":"International Journal of Computer Vision"},{"issue":"3","key":"64_CR5","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","volume":"33","author":"B. Fischl","year":"2002","unstructured":"Fischl, B., Salat, D.H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C.E.A.: Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron\u00a033(3), 341\u2013355 (2002)","journal-title":"Neuron"},{"doi-asserted-by":"crossref","unstructured":"G\u00f6nen, M., Alpayd\u0131n, E.: Localized multiple kernel learning. In: ICML 2008, pp. 352\u2013359 (2008)","key":"64_CR6","DOI":"10.1145\/1390156.1390201"},{"key":"64_CR7","first-page":"2181","volume":"12","author":"M. G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Alpayd\u0131n, E.: Multiple kernel learning algorithms. Journal of Machine Learning Research\u00a012, 2181\u20132238 (2011)","journal-title":"Journal of Machine Learning Research"},{"key":"64_CR8","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1016\/j.neuroimage.2010.10.081","volume":"55","author":"C. Hinrichs","year":"2011","unstructured":"Hinrichs, C., Singh, V., Xu, G., Johnson, S.C., Initiative, T.A.D.N.: Predictive markers for ad in a multi-modality framework: An analysis of mci progression in the adni population. Neuroimage\u00a055, 574\u2013589 (2011)","journal-title":"Neuroimage"},{"unstructured":"Hsu, C.W., Chang, C.C., Lin, C.J.: A practical guide to support vector classification (2010). \n                      \n                        http:\/\/www.csie.ntu.edu.tw\/~cjlin\/papers\/guide\/guide.pdf","key":"64_CR9"},{"issue":"12","key":"64_CR10","doi-asserted-by":"publisher","first-page":"2103","DOI":"10.1176\/ajp.2006.163.12.2103","volume":"163","author":"N. Kuroki","year":"2006","unstructured":"Kuroki, N., Shenton, M.E., Salisbury, D.F., Hirayasu, Y., Onitsuka, T., Ersner-Hershfield, H., Yurgelun-Todd, D., Kikinis, R., Jolesz, F.A., McCarley, R.W.: Middle and inferior temporal gyrus gray matter volume abnormalities in first-episode schizophrenia: an MRI study. Am. J. Psychiatry\u00a0163(12), 2103\u20132110 (2006)","journal-title":"Am. J. Psychiatry"},{"key":"64_CR11","first-page":"27","volume":"5","author":"G. Lanckriet","year":"2004","unstructured":"Lanckriet, G., Cristianini, N., Bartlett, P., Ghaoui, L.E., Jordan, M.: Learning the kernel matrix with semidefinite programming. Journal of Machine Learning Research\u00a05, 27\u201372 (2004)","journal-title":"Journal of Machine Learning Research"},{"issue":"3","key":"64_CR12","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1017\/S2045796012000315","volume":"21","author":"A. Lasalvia","year":"2012","unstructured":"Lasalvia, A., Tosato, S., Brambilla, P., Bertani, M., Bonetto, C., Cristofalo, D.E.A.: Psychosis Incident Cohort Outcome Study (PICOS). A multisite study of clinical, social and biological characteristics, patterns of care and predictors of outcome in first-episode psychosis. Background, methodology and overview of the patient sample. Epidemiol. Psychiatr. Sci.\u00a021(3), 281\u2013303 (2012)","journal-title":"Epidemiol. Psychiatr. Sci."},{"unstructured":"Peter, P.M., Nelder, J.: Generalized Linear Models. Chapman and Hall (1989)","key":"64_CR13"},{"key":"64_CR14","first-page":"2491","volume":"9","author":"A. Rakotomamonjy","year":"2008","unstructured":"Rakotomamonjy, A., Bach, F., Canu, S., Grandvalet, Y.: SimpleMKL. Journal of Machine Learning Research\u00a09, 2491\u20132521 (2008)","journal-title":"Journal of Machine Learning Research"},{"issue":"37","key":"64_CR15","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/j.pec.2006.04.002","volume":"61","author":"R. Sederman","year":"2006","unstructured":"Sederman, R., Coyne, J.C., Ranchor, A.V.: Age: Nuisance variable to be eliminated with statistical control or important concern? Patient Education and Counseling\u00a061(37), 315\u2013316 (2006)","journal-title":"Patient Education and Counseling"},{"key":"64_CR16","first-page":"1883","volume":"11","author":"N. Segate","year":"2010","unstructured":"Segate, N., Blanzieri, E.: Fast and scalable local kernel machines. Journal of Machine Learning Research\u00a011, 1883\u20131926 (2010)","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"crossref","unstructured":"Tang, J., Liao, Y., Zhou, B., Tan, C., Liu, W., Wang, D., Liu, T., Hao, W., Tan, L., Chen, X.: Decrease in temporal gyrus gray matter volume in first-episode, early onset schizophrenia: an MRI study. PLoS One 7(7), e40247 (2012)","key":"64_CR17","DOI":"10.1371\/journal.pone.0040247"},{"unstructured":"Vapnik, V.N.: Statistical Learning Theory. John Wiley and Sons (1998)","key":"64_CR18"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24574-4_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:41:14Z","timestamp":1601944874000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24574-4_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319245737","9783319245744"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24574-4_64","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"18 November 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}