Konstantinos Blekas

2008
16	EE	Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas: A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72
15	EE	Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos: A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal Data. International Journal on Artificial Intelligence Tools 17(5): 1023-1041 (2008)
2007
14	EE	Konstantinos Blekas, Isaac E. Lagaris: Split-Merge Incremental LEarning (SMILE) of Mixture Models. ICANN (2) 2007: 291-300
13	EE	Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos: Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. ICTAI (1) 2007: 529-535
12	EE	Dimitris Saougkos, George Manis, Konstantinos Blekas, Apostolos Zarras: Revisiting Java Bytecode Compression for Embedded and Mobile Computing Environments. IEEE Trans. Software Eng. 33(7): 478-495 (2007)
11	EE	Konstantinos Blekas, Isaac E. Lagaris: Newtonian clustering: An approach based on molecular dynamics and global optimization. Pattern Recognition 40(6): 1734-1744 (2007)
2006
10	EE	Konstantinos Blekas: A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences. SETN 2006: 25-34
2005
9	EE	Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris: Mixture model analysis of DNA microarray images. IEEE Trans. Med. Imaging 24(7): 901-909 (2005)
8	EE	Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Motif-Based Protein Sequence Classification Using Neural Networks. Journal of Computational Biology 12(1): 64-82 (2005)
2004
7	EE	Konstantinos Blekas, Aristidis Likas: Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219
2003
6	EE	Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN 2003: 702-709
5		Konstantinos Blekas, Nikolas P. Galatsanos, I. Georgiou: An unsupervised artifact correction approach for the analysis of DNA microarray images. ICIP (2) 2003: 165-168
4		Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Greedy mixture learning for multiple motif discovery in biological sequences. Bioinformatics 19(5): 607-617 (2003)
1997
3	EE	Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis: A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI 1997: 323-330
1996
2		Aristidis Likas, Konstantinos Blekas: A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. Neural Processing Letters 4(3): 167-172 (1996)
1995
1		Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis: Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314

Coauthor Index

1	Dimitrios I. Fotiadis	[4] [6] [8]
2	Nikolas P. Galatsanos	[5] [9] [13] [15] [16]
3	I. Georgiou	[5]
4	Isaac E. Lagaris	[9] [11] [14]
5	Aristidis Likas	[1] [2] [3] [4] [6] [7] [8] [9] [16]
6	George Manis	[12]
7	Christophoros Nikou	[13] [15]
8	Dimitris Saougkos	[12]
9	Andreas Stafylopatis	[1] [3]
10	Nikolaos V. Tsekos	[13] [15]
11	Apostolos Zarras	[12]