Bayesian regression of functional neuroimages. - Dimitris G. Tzikas; Aristidis Likas; Nikolas P. Galatsanos; Ana S. Lukic; Miles N. Wernick (EUSIPCO, 2004)

Relevance Vector Machine Analysis of Functional Neuroimages. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos; Ana S. Lukic; Miles N. Wernick (ISBI, 2004)

Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (EUSIPCO, 2006)

Large Scale Multikernel RVM for Object Detection. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (SETN, 2006)

Variational Bayesian Blind Image Deconvolution with Student-T Priors. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (ICIP (1), 2007)

Transductive Reliability Estimation for Kernel Based Classifiers. - Dimitris Tzikas; Matjaz Kukar; Aristidis Likas (IDA, 2007)

Robust variational bayesian kernel based blind image deconvolution. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (VISAPP (Special Sessions), 2007)

Large Scale Multikernel Relevance Vector Machine for Object Detection. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (Int. J. Artif. Intell. Tools, 2007)

Bayesian Kernel Methods for Analysis of Functional Neuroimages. - Ana S. Lukic; Miles N. Wernick; Dimitris Tzikas; Xu Chen; Aristidis Likas; Nikolas P. Galatsanos; Yongyi Yang; E. Zhao; Stephen C. Strother (IEEE Trans. Medical Imaging, 2007)

Incremental Relevance Vector Machine with Kernel Learning. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (SETN, 2008)

The variational approximation for Bayesian inference. - Dimitris G. Tzikas; Aristidis C. Likas; Nikolas P. Galatsanos (IEEE Signal Process. Mag., 2008)

Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (ICANN (1), 2009)

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Image Process., 2009)

Sparse Bayesian Modeling With Adaptive Kernel Learning. - Dimitris Tzikas; Aristidis Likas; Nikolas P. Galatsanos (IEEE Trans. Neural Networks, 2009)

Μπεϋζιανές μέθοδοι για προβλήματα μηχανικής μάθησης και επεξεργασίας εικόνας - Dimitris Tzikas (2009)

An Incremental Bayesian Approach for Training Multilayer Perceptrons. - Dimitris Tzikas; Aristidis Likas (ICANN (1), 2010)