D. Tzikas

Life After the EM Algorithm : The Variational Approximation for Bayesian Inference .

Senior Member, A. Likas, D. Tzikas, 2008 .

A TUTORIAL ON RELEVANCE VECTOR MACHINES FOR REGRESSION AND CLASSIFICATION WITH APPLICATIONS

N. Galatsanos, A. Likas, Liyang Wei, 2006 .

Kernel Methods for Functional Neuroimaging Analysis

S. Strother, Fuqiang Zhao, N. Galatsanos, 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

Bayesian regression of functional neuroimages

Nikolas P. Galatsanos, Miles N. Wernick, Aristidis Likas, 2004, 2004 12th European Signal Processing Conference.

The variational approximation for Bayesian inference

D.G. Tzikas, A.C. Likas, N.P. Galatsanos, 2008, IEEE Signal Processing Magazine.

Bayesian Kernel Methods for Analysis of Functional Neuroimages

Xu Chen, Nikolas P. Galatsanos, Yongyi Yang, 2007, IEEE Transactions on Medical Imaging.

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2009, IEEE Transactions on Image Processing.

Transductive Reliability Estimation for Kernel Based Classifiers

Aristidis Likas, Dimitris Tzikas, Matjaz Kukar, 2007, IDA.