Aristidis Likas

2007
60	EE	Constantinos Constantinopoulos, Aristidis Likas: Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603
59	EE	Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Rigid Image Registration based on Pixel Grouping. ICIAP 2007: 595-602
58	EE	Grigorios Tzortzis, Aristidis Likas: Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309
57	EE	Dimitris Tzikas, Matjaz Kukar, Aristidis Likas: Transductive Reliability Estimation for Kernel Based Classifiers. IDA 2007: 37-47
56		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150
55	EE	Ana S. Lukic, Miles N. Wernick, D. G. 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)
54	EE	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)
53	EE	Constantinos Constantinopoulos, Aristidis Likas: Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Transactions on Neural Networks 18(3): 745-755 (2007)
2006
52	EE	Constantinos Constantinopoulos, Aristidis Likas: Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366
51	EE	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	EE	Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399
49	EE	Argyris Kalogeratos, Aristidis Likas: A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519
48	EE	C. D. Katsis, Y. 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	EE	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	EE	Giannis 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	EE	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	EE	G. 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	EE	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	EE	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	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)
40	EE	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	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
38	EE	Konstantinos Valasoulis, Aristidis Likas: Probabilistic Shape-Based Image Indexing and Retrieval. ICPR (2) 2004: 969-972
37	EE	Giannis 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	EE	Constantinos Constantinopoulos, Aristidis Likas: Efficient Training Algorithms for the Probabilistic RBF Network. SETN 2004: 183-190
34	EE	Konstantinos Blekas, Aristidis Likas: Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219
33	EE	Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis: A clustering method based on boosting. Pattern Recognition Letters 25(6): 641-654 (2004)
2003
32	EE	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	EE	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	EE	Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas: A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. 6(1): 32-40 (2003)
27	EE	Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)
2002
26	EE	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	EE	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	EE	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	EE	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	EE	Michalis K. Titsias, Aristidis Likas: A Probabilistic RBF Network for Classification. IJCNN (4) 2000: 238-243
16	EE	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	EE	Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm CoRR cs.NE/9812002: (1998)
11	EE	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	EE	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	EE	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	EE	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	EE	Andreas Stafylopatis, Aristidis Likas: Pictorial Information Retrieval Using the Random Neural Network. IEEE Trans. Software Eng. 18(7): 590-600 (1992)

Coauthor Index

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

Colors in the list of coauthors