“Papers of School of Cognitive Sciences”
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A bayesian framework for face recognition,
International Journal of Innovative Computing, Information and Control 8(2012), 1-13 [abstract]
332. M.R. Daliri,
Predicting the cognitive states of the subjects in functional magnetic resonance imaging signals using the combination of feature selection strategies,
Brain Topogr 25(2012), 129-135 [abstract]
333. P. Zamani, M. Kayvanrad and H. Soltanian Zadeh,
Using learned under-sampling pattern for increasing speed of cardiac cine MRI based on compressive sensing principles,
EURASIP Journal on Applied Signal Processing 82(2012), 1-15 [abstract]
334. B. Afshin-Pour, G.A. Hossein-Zadeh, S. Strother and Hamid Soltanian-Zadeh,
Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework,
NeuroImage 60(2012), 1970-1981 [abstract]
335. D. Mortazavi, A. Kouzani and H. Soltanian Zadeh,
Segmentation of multiple sclerosis lesions in MR images: a review,
Neuroradiology 54(2012), 299-320 [abstract]
336. M. Ghodrati, M. Khaligh-Razavi, R. Ebrahimpour, K. Rajaei and M. Pooyan,
How can selection of biologically inspired features improve the performance of a robust object recognition model?,
Plos One 7(2012), 1-15 [abstract]
337. R. Ebrahimpour, A. Sajedin and Z. Moussavi,
A bio-inspired computational neural model for illustration face and car expertise effect on the gateway to the right FFA,
International Journal of Innovative Computing, Information and Control 8(2012), 3451-3466 [abstract]
338. M. Tabassian, R. Ghaderi and R. Ebrahimpour,
Combining complementary information sources in the dempster-shafer framework for solving classification problems with imperfect labels,
Knowledge-Based Systems 27(2012), 92-102 [abstract]
339. M. Tabassian, R. Ghaderi and R. Ebrahimpour,
Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels,
Expert Systems with Applications 39(2012), 1698-1707 [abstract]
340. H. Soleimani, C. Lucas and B. Nadjar Arabi,
Fast evolving neuro-fuzzy model and its application in online classification and time series prediction,
Pattern Analysis and Applications 15(2012), 279-288 [abstract]
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