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Jacquelyn Shelton

Address:	Spemannstrasse 38
Room number:	105
Phone:	602
E-Mail:	jshelton

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Jacquelyn Shelton

Position: Undergraduate Research Assistant Unit: Alumni Schölkopf

Publications

Articles (1):
•	Blaschko MB , Shelton JA , Bartels A , Lampert CH and Gretton A (August-2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI Pattern Recognition Letters 32(11) 1572-1583.
Conference papers (1):
•	Blaschko M , Shelton J and Bartels A (April-2010) Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 126-134.
Technical reports (1):
•	Shelton J , Blaschko M and Bartels A : Semi-supervised subspace analysis of human functional magnetic resonance imaging data, 185, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (May-2009).
Posters (3):
•	Shelton JA , Blaschko MB and Bartels A (December-2010): Augmentation of fMRI Data Analysis using Resting State Activity and Semi-supervised Canonical Correlation Analysis, NIPS 2010 Women in Machine Learning Workshop (WiML 2010), Whistler, BC, Canada.
•	Shelton JA , Blaschko MB , Gretton A , Müller J , Fischer E and Bartels A (December-2010): Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI, NIPS 2010 Workshop on Learning and Planning from Batch Time Series Data, Whistler, BC, Canada.
•	Shelton JA , Blaschko MB , Lampert CH and Bartels A (July-2009): Semi-supervised Analysis of Human fMRI Data, Berlin Brain Computer Interface Workshop on Advances in Neurotechnology, 2009 1.
Theses (1):
•	Shelton J : Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data, Eberhard Karls Universität, Tübingen, Germany, (July-2010). Diplom thesis
Talks (1):
•	Shelton JA (December-2009): Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data, Women in Machine Learning Workshop (WiML 2009), Vancouver, BC, Canada.

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Last updated: Monday, 16.01.2012