{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T01:14:26Z","timestamp":1779153266313,"version":"3.51.4"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,9]]},"DOI":"10.1109\/mlsp.2016.7738881","type":"proceedings-article","created":{"date-parts":[[2016,11,10]],"date-time":"2016-11-10T21:40:41Z","timestamp":1478814041000},"page":"1-6","source":"Crossref","is-referenced-by-count":14,"title":["A multimodal multiple kernel learning approach to Alzheimer's disease detection"],"prefix":"10.1109","author":[{"given":"Michele","family":"Donini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joao M.","family":"Monteiro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimiliano","family":"Pontil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Shawe-Taylor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janaina","family":"Mourao-Miranda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.212"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.10.065"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref13","first-page":"1099","article-title":"Learning the kernel function via regularization","volume":"6","author":"micchelli","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS692"},{"key":"ref15","first-page":"671","article-title":"Structured sparsity and generalization","volume":"13","author":"maurer","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/11776420_15"},{"key":"ref17","first-page":"247","article-title":"Generalization bounds for learning kernels","author":"cortes","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)"},{"key":"ref18","first-page":"370","article-title":"Improved Loss Bounds for Multiple Kernel Learning","volume":"15","author":"hussain","year":"2011"},{"key":"ref19","first-page":"1","article-title":"A Note on Improved Loss Bounds for Multiple Kernel Learning","volume":"15","author":"hussain","year":"2011","journal-title":"arXiv preprint arXiv 1106 6258"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-013-9204-3"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.11.066"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.11.078"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref7","first-page":"2491","article-title":"SimpleMKL","volume":"9","author":"rakotomamonjy","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref2","first-page":"22","article-title":"Feature and kernel learning","author":"donini","year":"0","journal-title":"ESANN 2015 proceedings European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning 2015"},{"key":"ref1","first-page":"2211","article-title":"Multiple Kernel Learning Algorithms","volume":"12","author":"gonen","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref9","first-page":"6","article-title":"Multiple kernel learning, conic duality, and the SMO algorithm","volume":"69","author":"francis","year":"2004","journal-title":"Twenty-first international conference on Machine learning - ICML '04"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553510"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing","volume":"57","author":"benjamini","year":"2016","journal-title":"Journal of the Royal Statistical Society"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1198\/016214508000000337"}],"event":{"name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","location":"Vietri sul Mare, Salerno, Italy","start":{"date-parts":[[2016,9,13]]},"end":{"date-parts":[[2016,9,16]]}},"container-title":["2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7605057\/7738802\/07738881.pdf?arnumber=7738881","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T10:39:37Z","timestamp":1749724777000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7738881\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2016.7738881","relation":{},"subject":[],"published":{"date-parts":[[2016,9]]}}}