University of Ioannina
GR-45110 Ioannina, Greece
Contact tel : (+30) 26510 98838
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Department of Computer Science University of Ioannina GR-45110 Ioannina, Greece Contact tel : (+30) 26510 98838 |
2009 PhD degree entitled `Bayesian Methods for Machine Learning and Image Processing Problems' [pdf] from the Department of Computer Science of the University of Ioannina under the supervision of Aristidis Likas and member of the IPAN group
2004 Master degree entitled 'Sparse Bayesian Methods for Regression Problems: Application to the Analysis of Functional Magnetic Resonance Images'
[pdf]
from the Depatment of Computer Science of the University of Ioannina
2002 Degree in Computer Science from the Department of Informatics and Telecommunications of the University of Athens
| [1] | D. Tzikas, A. Likas, and N. Galatsanos. Sparse Bayesian Modeling with Adaptive Kernel Learning. Transaction on Neural Networks, 20(6):926-937, June 2009. [ pdf ] |
| [2] | D. Tzikas, A. Likas, and N. Galatsanos. Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution with Student's-t Priors. Transaction on Image Processing, 18(4):753-764, 2009. [ pdf ] |
| [3] | D. Tzikas, A. Likas, and N. Galatsanos. Life After the EM Algorithm: The Variational Approximation for Bayesian Inference. IEEE Signal Processing Magazine, 25(6):131-146, 2008. [ pdf ] |
| [4] | A. Lukic, M. Wernick, D. Tzikas, X. Chen, A. Likas, N. Galatsanos, Y. Yang, F. Zhao, and S. Strother. Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. on Medical Imaging, 26(12):1613-1622, December 2007. [ pdf ] |
| [5] | D. Tzikas, A. Likas, and N. Galatsanos. Large Scale Multikernel Relevance Vector Machine for Object Detection. International Journal on Artificial Intelligence Tools, 16(6):967-979, December 2007. [ pdf ] |
| [6] | D. Tzikas, L. Wei, A. Likas, Y. Yang, and N. Galatsanos. A Tutorial on Relevance Vector Machines for Regression and Classification with Applications. EURASIP NEWS LETTER, 17(2):4-23, June 2006. [ pdf ] |
| [1] | D. Tzikas, A. Likas, and N. Galatsanos. Local Feature Selecion for the Relevance Vector Machine Using Adaptive Kernel Learning. In ICANN, pages 50-59, Limassol, Cyprus, October 2009. [ pdf ] |
| [2] | D. Tzikas, A. Likas, and N. Galatsanos. Incremental Relevance Vector Machine with Kernel Learning. In Hellenic Conference on Artificial Intelligence, pages 301-312, Syros, Greece, October 2008. [ presentation | pdf ] |
| [3] | D. Tzikas, A. Likas, and N. Galatsanos. Bayesian BID Based on a Kernel Model for the Point Spread Function. In International Conference on Image Processing, San Antonio, TX, USA, September 2007. [ presentation | pdf ] |
| [4] | D. Tzikas, M. Kukar, and A. Likas. Transductive Reliability Estimation for Kernel Based Classifiers. In International Symposium on Intelligent Data Analysis, Ljubljana, Slovenia, September 2007. [ pdf ] |
| [5] | D. Tzikas, A. Likas, and N. Galatsanos. Robust Variational Bayesian Kernel Based Blind Image Deconvolution. In International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 2007. [ pdf ] |
| [6] | D. Tzikas, A. Likas, and N. Galatsanos. Variational Bayesian Blind Image Deconvolution Based on a Sparse Kernel Model for the Point Spread Function. In European Signal Processing Conference, Florence, Italy, September 2006. [ pdf ] |
| [7] | D. Tzikas, A. Likas, and N. Galatsanos. Large Scale Multikernel RVM for Object Detection. In Hellenic Conference on Artificial Intelligence, pages 389-399, Heraclion, Crete, Greece, May 2006. [ pdf ] |
| [8] | D. Tzikas, A. Likas, and N. Galatsanos. Bayesian Regression of Functional Neuroimages. In European Signal Processing Conference, Vienna, Austria, September 2004. [ pdf ] |
| [9] | D. Tzikas, A. Likas, and N. Galatsanos. Relevance Vector Machine Analysis of Functional Neuroimages. In IEEE International Symposium on Biomedical Imaging, Arlington, VA, USA, April 2004. [ pdf ] |