DocumentCode
155647
Title
The 10th annual MLSP competition: Third place
Author
Koncevicius, Karolis
Author_Institution
Inst. of Math. & Inf., Vilnius Univ., Vilnius, Lithuania
fYear
2014
fDate
21-24 Sept. 2014
Firstpage
1
Lastpage
2
Abstract
The goal of the MLSP 2014 competition was to automatically detect subjects with schizophrenia based on multimodal features derived from magnetic resonance imaging data. This report summarizes the 3rd place solution with the final ROC area score of 0.91282.
Keywords
biomedical MRI; data analysis; medical computing; medical disorders; pattern classification; MLSP 2014 competition; MLSP competition; magnetic resonance imaging data; multimodal features; schizophrenia; Conferences; Magnetic resonance imaging; Mathematical model; Principal component analysis; Signal processing; Vectors; Classification; Distance Weighted Discrimination; MRI; Schizophrenia;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on
Conference_Location
Reims
Type
conf
DOI
10.1109/MLSP.2014.6958888
Filename
6958888
Link To Document