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Volumn , Issue , 2012, Pages 1095-1103

Modeling disease progression via fused sparse group lasso

Author keywords

alzheimer's disease; cognitive score; fused lasso; multi task learning; regression; sparse group lasso

Indexed keywords

ALZHEIMER'S DISEASE; COGNITIVE SCORE; FUSED LASSO; MULTITASK LEARNING; REGRESSION; SPARSE GROUP LASSO;

EID: 84866037290     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339702     Document Type: Conference Paper
Times cited : (182)

References (43)
  • 1
    • 84866052988 scopus 로고    scopus 로고
    • www.public.asu.edu/~jye02/FSGL.
  • 2
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • R. Ando and T. Zhang. A framework for learning predictive structures from multiple tasks and unlabeled data. The Journal of Machine Learning Research, 6:1817-1853, 2005.
    • (2005) The Journal of Machine Learning Research , vol.6 , pp. 1817-1853
    • Ando, R.1    Zhang, T.2
  • 3
    • 55149088329 scopus 로고    scopus 로고
    • Convex multi-task feature learning
    • A. Argyriou, T. Evgeniou, and M. Pontil. Convex multi-task feature learning. Machine Learning, 73(3):243-272, 2008.
    • (2008) Machine Learning , vol.73 , Issue.3 , pp. 243-272
    • Argyriou, A.1    Evgeniou, T.2    Pontil, M.3
  • 6
    • 77954035720 scopus 로고    scopus 로고
    • The dynamics of alzheimer's disease biomarkers in the alzheimer's disease neuroimaging initiative cohort
    • A. Caroli, G. Frisoni, et al. The dynamics of alzheimer's disease biomarkers in the alzheimer's disease neuroimaging initiative cohort. Neurobiology of aging, 31(8):1263-1274, 2010.
    • (2010) Neurobiology of Aging , vol.31 , Issue.8 , pp. 1263-1274
    • Caroli, A.1    Frisoni, G.2
  • 10
    • 67651020812 scopus 로고    scopus 로고
    • Relating one-year cognitive change in mild cognitive impairment to baseline MRI features
    • S. Duchesne, A. Caroli, C. Geroldi, D. Collins, and G. Frisoni. Relating one-year cognitive change in mild cognitive impairment to baseline MRI features. NeuroImage, 47(4):1363-1370, 2009.
    • (2009) NeuroImage , vol.47 , Issue.4 , pp. 1363-1370
    • Duchesne, S.1    Caroli, A.2    Geroldi, C.3    Collins, D.4    Frisoni, G.5
  • 12
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • J. Fan and R. Li. Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association, 96(456):1348-1360, 2001.
    • (2001) Journal of the American Statistical Association , vol.96 , Issue.456 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 15
    • 70450245260 scopus 로고    scopus 로고
    • Recovering sparse signals with a certain family of nonconvex penalties and dc programming
    • G. Gasso, A. Rakotomamonjy, and S. Canu. Recovering sparse signals with a certain family of nonconvex penalties and dc programming. Signal Processing, IEEE Transactions on, 57(12):4686-4698, 2009.
    • (2009) Signal Processing, IEEE Transactions on , vol.57 , Issue.12 , pp. 4686-4698
    • Gasso, G.1    Rakotomamonjy, A.2    Canu, S.3
  • 18
    • 73249121028 scopus 로고    scopus 로고
    • Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database
    • K. Ito et al. Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database. Alzheimer's and Dementia, 6(1):39-53, 2010.
    • (2010) Alzheimer's and Dementia , vol.6 , Issue.1 , pp. 39-53
    • Ito, K.1
  • 21
    • 0022414054 scopus 로고
    • Diagnosis of Alzheimer's disease
    • Z. Khachaturian. Diagnosis of Alzheimer's disease. Archives of Neurology, 42(11):1097, 1985.
    • (1985) Archives of Neurology , vol.42 , Issue.11 , pp. 1097
    • Khachaturian, Z.1
  • 26
    • 58149386194 scopus 로고    scopus 로고
    • Baseline and longitudinal patterns of brain atrophy in mci patients, and their use in prediction of short-term conversion to ad: Results from adni
    • C. Misra, Y. Fan, and C. Davatzikos. Baseline and longitudinal patterns of brain atrophy in mci patients, and their use in prediction of short-term conversion to ad: results from adni. Neuroimage, 44(4):1415-1422, 2009.
    • (2009) Neuroimage , vol.44 , Issue.4 , pp. 1415-1422
    • Misra, C.1    Fan, Y.2    Davatzikos, C.3
  • 31
    • 77952888499 scopus 로고    scopus 로고
    • Predicting clinical scores from magnetic resonance scans in Alzheimer's disease
    • C. Stonnington, C. Chu, S. Klöppel, C. Jack Jr, J. Ashburner, and R. Frackowiak. Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. NeuroImage, 51(4):1405-1413, 2010.
    • (2010) NeuroImage , vol.51 , Issue.4 , pp. 1405-1413
    • Stonnington, C.1    Chu, C.2    Klöppel, S.3    Jack Jr., C.4    Ashburner, J.5    Frackowiak, R.6
  • 32
    • 0010687621 scopus 로고    scopus 로고
    • Clustering learning tasks and the selective cross-task transfer of knowledge
    • S. Thrun and J. O'Sullivan. Clustering learning tasks and the selective cross-task transfer of knowledge. Learning to learn, pages 181-209, 1998.
    • (1998) Learning to Learn , pp. 181-209
    • Thrun, S.1    O'Sullivan, J.2
  • 34
    • 68249111164 scopus 로고    scopus 로고
    • MRI and CSF biomarkers in normal, MCI, and AD subjects: Predicting future clinical change
    • P. Vemuri et al. MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change. Neurology, 73(4):294, 2009.
    • (2009) Neurology , vol.73 , Issue.4 , pp. 294
    • Vemuri, P.1
  • 35
    • 76749120506 scopus 로고    scopus 로고
    • Combining MR imaging, positron-emission tomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease
    • K. Walhovd et al. Combining MR imaging, positron-emission tomography, and CSF biomarkers in the diagnosis and prognosis of Alzheimer disease. American Journal of Neuroradiology, 31(2):347, 2010.
    • (2010) American Journal of Neuroradiology , vol.31 , Issue.2 , pp. 347
    • Walhovd, K.1
  • 39
    • 84866636058 scopus 로고    scopus 로고
    • Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in alzheimer's disease
    • D. Zhang and D. Shen. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in alzheimer's disease. NeuroImage, 2011.
    • (2011) NeuroImage
    • Zhang, D.1    Shen, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.