Aristidis Likas

	2009
78		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59
77		Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. ICANN (1) 2009: 942-951
76		Grigorios Tzortzis, Aristidis Likas: Convex Mixture Models for Multi-view Clustering. ICANN (2) 2009: 205-214
75		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. IEEE Transactions on Image Processing 18(4): 753-764 (2009)
74		Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: The mixtures of Student's t-distributions as a robust framework for rigid registration. Image Vision Comput. 27(9): 1285-1294 (2009)
73		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines. Pattern Recognition Letters 30(1): 55-65 (2009)
	2008
72		Anastasios Alivanoglou, Aristidis Likas: Probabilistic Models Based on the Pi-Sigmoid Distribution. ANNPR 2008: 36-43
71		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) 2008: 847-856
70		Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. ICTAI (1) 2008: 141-148
69		Grigorios Tzortzis, Aristidis Likas: The global kernel k-means clustering algorithm. IJCNN 2008: 1977-1984
68		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312
67		Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas: A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72
66		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Video rushes summarization using spectral clustering and sequence alignment. TVS 2008: 75-79
65		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: A Support Vector Machine Approach for Video Shot Detection. New Directions in Intelligent Interactive Multimedia 2008: 45-54
64		Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael Saunders: Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. IEEE Transactions on Image Processing 17(10): 1795-1805 (2008)
	2007
63		Constantinos Constantinopoulos, Aristidis Likas: Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603
62		Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Robust Image Registration using Mixtures of t-distributions. ICCV 2007: 1-8
61		Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Rigid Image Registration based on Pixel Grouping. ICIAP 2007: 595-602
60		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112
59		Grigorios Tzortzis, Aristidis Likas: Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309
58		Dimitris Tzikas, Matjaz Kukar, Aristidis Likas: Transductive Reliability Estimation for Kernel Based Classifiers. IDA 2007: 37-47
57		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150
56		Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, X. Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother: Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. Med. Imaging 26(12): 1613-1624 (2007)
55		Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas: A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. IEEE Transactions on Image Processing 16(4): 1121-1130 (2007)
54		Constantinos Constantinopoulos, Aristidis Likas: Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Transactions on Neural Networks 18(3): 745-755 (2007)
53		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel Relevance Vector Machine for Object Detection. International Journal on Artificial Intelligence Tools 16(6): 967-979 (2007)
	2006
52		Constantinos Constantinopoulos, Aristidis Likas: Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366
51		Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. ICANN (2) 2006: 84-93
50		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399
49		Argyris Kalogeratos, Aristidis Likas: A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519
48		C. D. Katsis, Yorgos Goletsis, Aristidis Likas, Dimitrios I. Fotiadis, I. Sarmas: A novel method for automated EMG decomposition and MUAP classification. Artificial Intelligence in Medicine 37(1): 55-64 (2006)
47		Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas: Bayesian Feature and Model Selection for Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1013-1018 (2006)
46		Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas: Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. IEEE Transactions on Image Processing 15(10): 2987-2997 (2006)
45		Constantinos Constantinopoulos, Aristidis Likas: An incremental training method for the probabilistic RBF network. IEEE Transactions on Neural Networks 17(4): 966-974 (2006)
	2005
44		Giorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos: An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. ICANN (2) 2005: 835-840
43		John Chantas, Nikolas P. Galatsanos, Aristidis Likas: Maximum a posteriori image restoration based on a new directional continuous edge image prior. ICIP (1) 2005: 941-944
42		Athanasios Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas: Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. Artificial Intelligence in Medicine 34(2): 141-150 (2005)
41		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)
40		A. G. Anagnostakis, M. Tzima, G. C. Sakellaris, Dimitrios I. Fotiadis, Aristidis Likas: Semantics-based information modeling for the health-care administration sector: the Citation platform. IEEE Transactions on Information Technology in Biomedicine 9(2): 239-247 (2005)
39		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
38		Konstantinos Valasoulis, Aristidis Likas: Probabilistic Shape-Based Image Indexing and Retrieval. ICPR (2) 2004: 969-972
37		Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas: Non Stationary Bayesian Image Restoration. ICPR (4) 2004: 689-692
36		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick: Relevance Vector Machine Analysis of Functional Neuroimages. ISBI 2004: 1004-1007
35		Constantinos Constantinopoulos, Aristidis Likas: Efficient Training Algorithms for the Probabilistic RBF Network. SETN 2004: 183-190
34		Konstantinos Blekas, Aristidis Likas: Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219
33		Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis: A clustering method based on boosting. Pattern Recognition Letters 25(6): 641-654 (2004)
	2003
32		Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN 2003: 702-709
31		Aristidis Likas, Nikolas P. Galatsanos: A variational method for Bayesian blind image deconvolution. ICIP (2) 2003: 973-976
30		Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Greedy mixture learning for multiple motif discovery in biological sequences. Bioinformatics 19(5): 607-617 (2003)
29		Michalis K. Titsias, Aristidis Likas: Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 924-928 (2003)
28		Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas: A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. 6(1): 32-40 (2003)
27		Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)
	2002
26		A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas: CITATION - Citizen Information Tool in Smart Administration. EGOV 2002: 307-312
25		A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas: The "Citation" Platform: Semantics-Based Modeling & Retrieval of Administrative Information. ICWI 2002: 577-583
24		Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas: Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation. SETN 2002: 314-324
23		Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas: A Bayesian Regularization Method for the Probabilistic RBF Network. SETN 2002: 337-345
22		Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Lampros K. Michalis: An ischemia detection method based on artificial neural networks. Artificial Intelligence in Medicine 24(2): 167-178 (2002)
21		Athanasios Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas: An automatic microcalcification detection system based on a hybrid neural network classifier. Artificial Intelligence in Medicine 25(2): 149-167 (2002)
20		Michalis K. Titsias, Aristidis Likas: Mixture of Experts Classification Using a Hierarchical Mixture Model. Neural Computation 14(9): 2221-2244 (2002)
19		Nikos A. Vlassis, Aristidis Likas: A Greedy EM Algorithm for Gaussian Mixture Learning. Neural Processing Letters 15(1): 77-87 (2002)
	2001
18		Aristidis Likas: Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network. Neural Processing Letters 13(3): 213-220 (2001)
	2000
17		Michalis K. Titsias, Aristidis Likas: A Probabilistic RBF Network for Classification. IJCNN (4) 2000: 238-243
16		Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Athanasios P. Liavas, Lampros K. Michalis: A robust knowledge-based technique for ischemia detection in noisy ECGs. KES 2000: 768-771
	1999
15		Nikos A. Vlassis, Aristidis Likas: A kurtosis-based dynamic approach to Gaussian mixture modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part A 29(4): 393-399 (1999)
14		Aristidis Likas: A Reinforcement Learning Approach to Online Clustering. Neural Computation 11(8): 1915-1932 (1999)
13		Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm. Neural Processing Letters 9(2): 119-127 (1999)
	1998
12		Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm CoRR cs.NE/9812002: (1998)
11		Isaac E. Lagaris, Aristidis Likas, D. G. Papageorgiou: Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains CoRR cs.NE/9812003: (1998)
10		Isaac E. Lagaris, Aristidis Likas, Dimitrios I. Fotiadis: Artificial neural networks for solving ordinary and partial differential equations. IEEE Transactions on Neural Networks 9(5): 987-1000 (1998)
	1997
9		Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis: A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI 1997: 323-330
8		Aristidis Likas, George Papageorgiou, Andreas Stafylopatis: A Connectionist Approach for Solving Large Constraint Satisfaction Problems. Appl. Intell. 7(3): 215-225 (1997)
	1996
7		Aristidis Likas, Andreas Stafylopatis: High Capacity Associative Memory Based on The Random Neural Network Model. IJPRAI 10(8): 919-937 (1996)
6		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
5		Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis: Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314
4		Aristidis Likas, Andreas Stafylopatis: A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. Inf. Process. Lett. 53(4): 229-234 (1995)
3		D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis: Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes. Neural Computing and Applications 3(2): 101-112 (1995)
	1992
2		D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis: Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning. ECAI 1992: 666-670
1		Andreas Stafylopatis, Aristidis Likas: Pictorial Information Retrieval Using the Random Neural Network. IEEE Trans. Software Eng. 18(7): 590-600 (1992)

Coauthor Index

1	Anastasios Alivanoglou	[72]
2	A. G. Anagnostakis	[25] [26] [40]
3	Konstantinos Blekas	[5] [6] [9] [30] [32] [34] [39] [41] [67]
4	Giannis K. Chantas	[37] [46] [64]
5	John Chantas	[43]
6	Vasileios Chasanis	[65] [66] [71] [73]
7	X. Chen	[56]
8	Constantinos Constantinopoulos	[23] [35] [44] [45] [47] [52] [54] [63]
9	Dimitrios I. Fotiadis	[10] [16] [21] [22] [25] [26] [30] [32] [39] [40] [42] [48]
10	Dimitrios S. Frossyniotis	[33]
11	Dimitrios Frosyniotis	[28]
12	Nikolas P. Galatsanos	[31] [36] [37] [41] [43] [44] [46] [50] [51] [53] [55] [56] [57] [60] [64] [65] [66] [67] [68] [70] [71] [73] [75] [77] [78]
13	Demetrios Gerogiannis	[61] [62] [74]
14	Yorgos Goletsis	[48]
15	Argyris Kalogeratos	[49]
16	C. D. Katsis	[48]
17	D. Kontoravdis	[2] [3]
18	Matjaz Kukar	[58]
19	Isaac E. Lagaris	[10] [11] [12] [13] [24] [41]
20	Athanasios P. Liavas	[16]
21	Ana S. Lukic	[36] [56]
22	Apostolos Marakakis	[51] [70] [77]
23	Lampros K. Michalis	[16] [22]
24	Christophoros Nikou	[55] [61] [62] [74]
25	Athanasios Papadopoulos	[21] [42]
26	D. G. Papageorgiou	[11]
27	George Papageorgiou	[8]
28	Costas Papaloukas	[16] [22]
29	G. C. Sakellaris	[25] [26] [40]
30	I. Sarmas	[48]
31	Michael Saunders	[64]
32	Giorgos Sfikas	[44]
33	Andreas Stafylopatis	[1] [2] [3] [4] [5] [7] [8] [9] [28] [33] [51] [70] [77]
34	Stephen C. Strother	[56]
35	Michalis K. Titsias	[17] [20] [23] [29] [47]
36	Ioannis G. Tsoulos	[24]
37	Dimitris Tzikas	[36] [50] [53] [56] [57] [58] [60] [68] [75] [78]
38	M. Tzima	[25] [26] [40]
39	Grigorios Tzortzis	[59] [69] [76]
40	Konstantinos Valasoulis	[38]
41	Jakob J. Verbeek	[27]
42	Nikos A. Vlassis	[15] [19] [27]
43	Miles N. Wernick	[36] [56]
44	Yongyi Yang	[56]
45	E. Zhao	[56]

Colors in the list of coauthors