{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T20:24:28Z","timestamp":1730319868789,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T00:00:00Z","timestamp":1563494400000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1565596, IIS-1615597, IIS-1749940"],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Office of Naval Research","award":["N00014-17-1-2265, N00014-14-1-0631"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,19]]},"DOI":"10.1145\/3219819.3219966","type":"proceedings-article","created":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T13:05:12Z","timestamp":1532005512000},"page":"2259-2268","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Subspace Network"],"prefix":"10.1145","author":[{"given":"Mengying","family":"Sun","sequence":"first","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]},{"given":"Inci M.","family":"Baytas","sequence":"additional","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]},{"given":"Liang","family":"Zhan","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Stout, Menomonie, WI, USA"}]},{"given":"Zhangyang","family":"Wang","sequence":"additional","affiliation":[{"name":"Texas A&M University, College Station, TX, USA"}]},{"given":"Jiayu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Michigan State University, East Lansing, MI, USA"}]}],"member":"320","published-online":{"date-parts":[[2018,7,19]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Ehsan Adeli-Mosabbeb Kim-Han Thung Le An Feng Shi and Dinggang Shen. 2015. Robust feature-sample linear discriminant analysis for brain disorders diagnosis. In NIPS. 658--666. Ehsan Adeli-Mosabbeb Kim-Han Thung Le An Feng Shi and Dinggang Shen. 2015. Robust feature-sample linear discriminant analysis for brain disorders diagnosis. In NIPS. 658--666."},{"key":"e_1_3_2_2_2_1","first-page":"41","article-title":"Multitask feature learning","volume":"19","author":"Argyriou Andreas","year":"2007","unstructured":"Andreas Argyriou , Theodoros Evgeniou , and Massimiliano Pontil . 2007 . Multitask feature learning . NIPS 19 (2007), 41 . Andreas Argyriou, Theodoros Evgeniou, and Massimiliano Pontil. 2007. Multitask feature learning. NIPS 19 (2007), 41.","journal-title":"NIPS"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Alzheimer's Association et al. 2013. 2013 Alzheimer's disease facts and figures. Alzheimer's &dementia 9 2 (2013) 208--245. Alzheimer's Association et al. 2013. 2013 Alzheimer's disease facts and figures. Alzheimer's &dementia 9 2 (2013) 208--245.","DOI":"10.1016\/j.jalz.2013.02.003"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2546225"},{"volume-title":"Sparsity and incoherence in compressive sampling. Inverse problems 23, 3","year":"2007","author":"Candes Emmanuel","key":"e_1_3_2_2_5_1","unstructured":"Emmanuel Candes and Justin Romberg . 2007. Sparsity and incoherence in compressive sampling. Inverse problems 23, 3 ( 2007 ), 969. Emmanuel Candes and Justin Romberg. 2007. Sparsity and incoherence in compressive sampling. Inverse problems 23, 3 (2007), 969."},{"volume-title":"Learning to learn","author":"Caruana Rich","key":"e_1_3_2_2_6_1","unstructured":"Rich Caruana . 1998. Multitask learning . In Learning to learn . Springer , 95--133. Rich Caruana. 1998. Multitask learning. In Learning to learn. Springer, 95--133."},{"volume-title":"The Neuropsychiatric Inventory Assessing psychopathology in dementia patients. Neurology 48, 5 Suppl 6","year":"1997","author":"Cummings Jeffrey L","key":"e_1_3_2_2_7_1","unstructured":"Jeffrey L Cummings . 1997. The Neuropsychiatric Inventory Assessing psychopathology in dementia patients. Neurology 48, 5 Suppl 6 ( 1997 ), 10S--16S. Jeffrey L Cummings. 1997. The Neuropsychiatric Inventory Assessing psychopathology in dementia patients. Neurology 48, 5 Suppl 6 (1997), 10S--16S."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.021"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"e_1_3_2_2_10_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770--778. Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep residual learning for image recognition. In CVPR. 770--778."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Charles P Hughes Leonard Berg Warren L Danziger etal 1982. A new clinical scale for the staging of dementia. The British journal of psychiatry 140 6 (1982) 566--572. Charles P Hughes Leonard Berg Warren L Danziger et al. 1982. A new clinical scale for the staging of dementia. The British journal of psychiatry 140 6 (1982) 566--572.","DOI":"10.1192\/bjp.140.6.566"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Clifford R Jack Matt A Bernstein Nick C Fox Paul Thompson etal 2008. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods. J. of mag. res. imag. 27 4 (2008) 685--691. Clifford R Jack Matt A Bernstein Nick C Fox Paul Thompson et al. 2008. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods. J. of mag. res. imag. 27 4 (2008) 685--691.","DOI":"10.1002\/jmri.21049"},{"key":"e_1_3_2_2_13_1","unstructured":"Ali Jalali Sujay Sanghavi Chao Ruan and Pradeep K Ravikumar. 2010. A dirty model for multi-task learning. In NIPS. 964--972. Ali Jalali Sujay Sanghavi Chao Ruan and Pradeep K Ravikumar. 2010. A dirty model for multi-task learning. In NIPS. 964--972."},{"key":"e_1_3_2_2_14_1","unstructured":"Shiva P Kasiviswanathan Huahua Wang Arindam Banerjee and Prem Melville. 2012. Online l1-dictionary learning with application to novel document detection. In NIPS. 2258--2266. Shiva P Kasiviswanathan Huahua Wang Arindam Banerjee and Prem Melville. 2012. Online l1-dictionary learning with application to novel document detection. In NIPS. 2258--2266."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/1531-8249(200004)47:4<430::AID-ANA5>3.0.CO;2-I"},{"volume-title":"JMLR","year":"2010","author":"Mairal Julien","key":"e_1_3_2_2_16_1","unstructured":"Julien Mairal , Francis Bach , Jean Ponce , and Guillermo Sapiro . 2010 . Online learning for matrix factorization and sparse coding . JMLR 11, Jan (2010), 19--60. Julien Mairal, Francis Bach, Jean Ponce, and Guillermo Sapiro. 2010. Online learning for matrix factorization and sparse coding. JMLR 11, Jan (2010), 19--60."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2012.2233193"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2417491"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1212\/01.wnl.0000188871.74093.12"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/jnr.21275"},{"volume-title":"Neuropathology of human Alzheimer disease after immunization with amyloid-? peptide: a case report. Nature medicine 9, 4","year":"2003","author":"Nicoll James AR","key":"e_1_3_2_2_21_1","unstructured":"James AR Nicoll , David Wilkinson , Clive Holmes , Phil Steart , Hannah Markham , and Roy O Weller . 2003. Neuropathology of human Alzheimer disease after immunization with amyloid-? peptide: a case report. Nature medicine 9, 4 ( 2003 ), 448. James AR Nicoll, David Wilkinson, Clive Holmes, Phil Steart, Hannah Markham, and Roy O Weller. 2003. Neuropathology of human Alzheimer disease after immunization with amyloid-? peptide: a case report. Nature medicine 9, 4 (2003), 448."},{"key":"e_1_3_2_2_22_1","first-page":"7","article-title":"Amygdala atrophy is prominent in early Alzheimer's disease and relates to symptom severity. Psy","volume":"194","author":"Poulin St\u00e9phane P","year":"2011","unstructured":"St\u00e9phane P Poulin , Rebecca Dautoff , John C Morris , 2011 . Amygdala atrophy is prominent in early Alzheimer's disease and relates to symptom severity. Psy . Res.: Neur. 194 , 1 (2011), 7 -- 13 . St\u00e9phane P Poulin, Rebecca Dautoff, John C Morris, et al. 2011. Amygdala atrophy is prominent in early Alzheimer's disease and relates to symptom severity. Psy. Res.: Neur. 194, 1 (2011), 7--13.","journal-title":"Res.: Neur."},{"volume-title":"A new rating scale for Alzheimer's disease. The American journal of psychiatry","year":"1984","author":"Rosen Wilma G","key":"e_1_3_2_2_23_1","unstructured":"Wilma G Rosen , Richard C Mohs , and Kenneth L Davis . 1984. A new rating scale for Alzheimer's disease. The American journal of psychiatry ( 1984 ). Wilma G Rosen, Richard C Mohs, and Kenneth L Davis. 1984. A new rating scale for Alzheimer's disease. The American journal of psychiatry (1984)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Tara N Sainath Brian Kingsbury Vikas Sindhwani etal 2013. Low-rank matrix factorization for deep neural network training with high-dimensional output targets. In ICASSP. IEEE 6655--6659. Tara N Sainath Brian Kingsbury Vikas Sindhwani et al. 2013. Low-rank matrix factorization for deep neural network training with high-dimensional output targets. In ICASSP. IEEE 6655--6659.","DOI":"10.1109\/ICASSP.2013.6638949"},{"key":"e_1_3_2_2_25_1","unstructured":"Wechsler DWechsler Memory Scale-Fourth. 2009. Edition (WMS-IV). New York: Psychological Corporation (2009). Wechsler DWechsler Memory Scale-Fourth. 2009. Edition (WMS-IV). New York: Psychological Corporation (2009)."},{"volume-title":"Multi-task learning in deep neural networks for improved phoneme recognition","author":"Seltzer Michael L","key":"e_1_3_2_2_26_1","unstructured":"Michael L Seltzer and Jasha Droppo . 2013. Multi-task learning in deep neural networks for improved phoneme recognition . In ICASSP. IEEE , 6965--6969. Michael L Seltzer and Jasha Droppo. 2013. Multi-task learning in deep neural networks for improved phoneme recognition. In ICASSP. IEEE, 6965--6969."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000018"},{"volume-title":"Online Categorical Subspace Learning for Sketching Big Data with Misses. arXiv preprint arXiv:1609.08235","year":"2016","author":"Shen Yanning","key":"e_1_3_2_2_28_1","unstructured":"Yanning Shen , Morteza Mardani , and Georgios B Giannakis . 2016. Online Categorical Subspace Learning for Sketching Big Data with Misses. arXiv preprint arXiv:1609.08235 ( 2016 ). Yanning Shen, Morteza Mardani, and Georgios B Giannakis. 2016. Online Categorical Subspace Learning for Sketching Big Data with Misses. arXiv preprint arXiv:1609.08235 (2016)."},{"key":"e_1_3_2_2_29_1","unstructured":"Nathan Srebro Jason Rennie and Tommi S Jaakkola. 2005. Maximum-margin matrix factorization. In NIPS. 1329--1336. Nathan Srebro Jason Rennie and Tommi S Jaakkola. 2005. Maximum-margin matrix factorization. In NIPS. 1329--1336."},{"key":"e_1_3_2_2_30_1","first-page":"954","article-title":"Effect of Alzheimer's disease risk genes on trajectories of cognitive function in the Cardiovascular Health Study. Ame","volume":"169","author":"Sweet Robert A","year":"2012","unstructured":"Robert A Sweet , Howard Seltman , James E Emanuel , 2012 . Effect of Alzheimer's disease risk genes on trajectories of cognitive function in the Cardiovascular Health Study. Ame . J. of Psyc. 169 , 9 (2012), 954 -- 962 . Robert A Sweet, Howard Seltman, James E Emanuel, et al. 2012. Effect of Alzheimer's disease risk genes on trajectories of cognitive function in the Cardiovascular Health Study. Ame. J. of Psyc. 169, 9 (2012), 954--962.","journal-title":"J. of Psyc."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.1992.tb01992.x"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806219"},{"volume-title":"Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis","author":"Wu Zhizheng","key":"e_1_3_2_2_33_1","unstructured":"Zhizheng Wu , Cassia Valentini-Botinhao , Oliver Watts , and Simon King . 2015. Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis . In ICASSP. IEEE , 4460--4464. Zhizheng Wu, Cassia Valentini-Botinhao, Oliver Watts, and Simon King. 2015. Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis. In ICASSP. IEEE, 4460--4464."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Jian Xue Jinyu Li and Yifan Gong. 2013. Restructuring of deep neural network acoustic models with singular value decomposition.. In Interspeech. 2365--2369. Jian Xue Jinyu Li and Yifan Gong. 2013. Restructuring of deep neural network acoustic models with singular value decomposition.. In Interspeech. 2365--2369.","DOI":"10.21437\/Interspeech.2013-552"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871706"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.069"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0582-z"},{"volume-title":"Chen Change Loy, and Xiaoou Tang","year":"2014","author":"Zhang Zhanpeng","key":"e_1_3_2_2_38_1","unstructured":"Zhanpeng Zhang , Ping Luo , Chen Change Loy, and Xiaoou Tang . 2014 . Facial landmark detection by deep multi-task learning. In ECCV. Springer , 94--108. Zhanpeng Zhang, Ping Luo, Chen Change Loy, and Xiaoou Tang. 2014. Facial landmark detection by deep multi-task learning. In ECCV. Springer, 94--108."},{"volume-title":"Malsar: Multi-task learning via structural regularization","year":"2011","author":"Zhou Jiayu","key":"e_1_3_2_2_39_1","unstructured":"Jiayu Zhou , Jianhui Chen , and Jieping Ye . 2011 . Malsar: Multi-task learning via structural regularization . Arizona State University 21 (2011). Jiayu Zhou, Jianhui Chen, and Jieping Ye. 2011. Malsar: Multi-task learning via structural regularization. Arizona State University 21 (2011)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020549"},{"volume-title":"Deep forest: Towards an alternative to deep neural networks. arXiv preprint arXiv:1702.08835","year":"2017","author":"Zhou Zhi-Hua","key":"e_1_3_2_2_41_1","unstructured":"Zhi-Hua Zhou and Ji Feng . 2017. Deep forest: Towards an alternative to deep neural networks. arXiv preprint arXiv:1702.08835 ( 2017 ). Zhi-Hua Zhou and Ji Feng. 2017. Deep forest: Towards an alternative to deep neural networks. arXiv preprint arXiv:1702.08835 (2017)."}],"event":{"name":"KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"London United Kingdom","acronym":"KDD '18"},"container-title":["Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3219966","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3219966","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T12:40:07Z","timestamp":1673700007000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3219966"}},"subtitle":["Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases"],"short-title":[],"issued":{"date-parts":[[2018,7,19]]},"references-count":41,"alternative-id":["10.1145\/3219819.3219966","10.1145\/3219819"],"URL":"http:\/\/dx.doi.org\/10.1145\/3219819.3219966","relation":{},"subject":[],"published":{"date-parts":[[2018,7,19]]},"assertion":[{"value":"2018-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}
