Title :
The 10th annual MLSP competition: Third place
Author :
Koncevicius, Karolis
Author_Institution :
Inst. of Math. & Inf., Vilnius Univ., Vilnius, Lithuania
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;
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2014 IEEE International Workshop on
Conference_Location :
Reims
DOI :
10.1109/MLSP.2014.6958888
