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ORCIDJarkko Ylipaavalniemi
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2010 – 2019
- 2013
[j4]Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
:
Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method. Neurocomputing 113: 153-167 (2013)- 2012
- [j3]Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja:
Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Process. 92(8): 1767-1778 (2012) - [c7]Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi:
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets. LVA/ICA 2012: 91-98 - [c6]Jarkko Ylipaavalniemi, Nima Reyhani, Ricardo Vigário:
Distributional Convergence of Subspace Estimates in FastICA: A Bootstrap Study. LVA/ICA 2012: 123-130 - [c5]Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi:
A generalized canonical correlation analysis based method for blind source separation from related data sets. IJCNN 2012: 1-9
2000 – 2009
- 2009
- [j2]Jarkko Ylipaavalniemi, Eerika Savia, Sanna Malinen, Riitta Hari, Ricardo Vigário, Samuel Kaski:
Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli. NeuroImage 48(1): 176-185 (2009) - [c4]Jarkko Ylipaavalniemi, Jyri Soppela:
Arabica: Robust ICA in a Pipeline. ICA 2009: 379-386 - 2008
- [j1]Jarkko Ylipaavalniemi, Ricardo Vigário:
Analyzing consistency of independent components: An fMRI illustration. NeuroImage 39(1): 169-180 (2008) - 2007
- [c3]Jarkko Ylipaavalniemi, Eerika Savia, Ricardo Vigário, Samuel Kaski:
Functional elements and networks in fMRI. ESANN 2007: 561-566 - [c2]Jarkko Ylipaavalniemi, Ricardo Vigário:
Subspaces of Spatially Varying Independent Components in fMRI. ICA 2007: 665-672 - 2006
- [c1]Jarkko Ylipaavalniemi, Seppo Mattila, Antti Tarkiainen, Ricardo Vigário:
Brains and Phantoms: An ICA Study of fMRI. ICA 2006: 503-510
Coauthor Index
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