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MICCAI
2006
Springer
14 years 10 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim
MICCAI
2007
Springer
14 years 10 months ago
Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
Polina Golland, Yulia Golland, Rafael Malach
RECOMB
2008
Springer
14 years 9 months ago
Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Igor Ulitsky, Richard M. Karp, Ron Shamir
LREC
2010
194views Education» more  LREC 2010»
13 years 10 months ago
Building a Gold Standard for Event Detection in Croatian
This paper describes the process of building a newspaper corpus annotated with events described in specific documents. The main difference to the corpora built as part of the TDT ...
Nikola Ljubesic, Tomislava Lauc, Damir Boras
EMNLP
2007
13 years 10 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...