Aristidis Likas

	2011
96		Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj: Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) 2011: 169-179
95		Argyris Kalogeratos, Aristidis Likas: Document clustering using synthetic cluster prototypes. Data Knowl. Eng. 70(3): 284-306 (2011)
94		Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas: Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering. Image Vision Comput. 29(5): 295-305 (2011)
	2010
93		Dimitris Tzikas, Aristidis Likas: An Incremental Bayesian Approach for Training Multilayer Perceptrons. ICANN (1) 2010: 87-96
92		Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas: Visual Tracking by Adaptive Kalman Filtering and Mean Shift. SETN 2010: 153-162
91		Vasileios Chasanis, Aristidis Likas: Event Detection and Classification in Video Surveillance Sequences. SETN 2010: 309-314
90		Christophoros Nikou, Aristidis Likas, Nikolas P. Galatsanos: A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures. IEEE Transactions on Image Processing 19(9): 2278-2289 (2010)
89		Petros S. Karvelis, Aristidis Likas, Dimitrios I. Fotiadis: Identifying touching and overlapping chromosomes using the watershed transform and gradient paths. Pattern Recognition Letters 31(16): 2474-2488 (2010)
	2009
88		Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. AIAI 2009: 249-258
87		Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas: Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR 2009
86		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59
85		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
84		Grigorios Tzortzis, Aristidis Likas: Convex Mixture Models for Multi-view Clustering. ICANN (2) 2009: 205-214
83		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)
82		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Scene Detection in Videos Using Shot Clustering and Sequence Alignment. IEEE Transactions on Multimedia 11(1): 89-100 (2009)
81		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Sparse Bayesian Modeling With Adaptive Kernel Learning. IEEE Transactions on Neural Networks 20(6): 926-937 (2009)
80		Grigorios Tzortzis, Aristidis Likas: The Global Kernel k -Means Algorithm for Clustering in Feature Space. IEEE Transactions on Neural Networks 20(7): 1181-1194 (2009)
79		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)
78		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
77		Anastasios Alivanoglou, Aristidis Likas: Probabilistic Models Based on the Pi-Sigmoid Distribution. ANNPR 2008: 36-43
76		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) 2008: 847-856
75		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
74		Grigorios Tzortzis, Aristidis Likas: The global kernel k-means clustering algorithm. IJCNN 2008: 1977-1984
73		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312
72		Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas: A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72
71		Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Video rushes summarization using spectral clustering and sequence alignment. TVS 2008: 75-79
70		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
69		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
68		Constantinos Constantinopoulos, Aristidis Likas: Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603
67		Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Robust Image Registration using Mixtures of t-distributions. ICCV 2007: 1-8
66		Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Rigid Image Registration based on Pixel Grouping. ICIAP 2007: 595-602
65		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112
64		Grigorios Tzortzis, Aristidis Likas: Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309
63		Dimitris Tzikas, Matjaz Kukar, Aristidis Likas: Transductive Reliability Estimation for Kernel Based Classifiers. IDA 2007: 37-47
62		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150
61		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)
60		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)
59		Constantinos Constantinopoulos, Aristidis Likas: Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Transactions on Neural Networks 18(3): 745-755 (2007)
58		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
57		Constantinos Constantinopoulos, Aristidis Likas: Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366
56		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
55		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399
54		Argyris Kalogeratos, Aristidis Likas: A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519
53		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)
52		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)
51		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)
50		Constantinos Constantinopoulos, Aristidis Likas: An incremental training method for the probabilistic RBF network. IEEE Transactions on Neural Networks 17(4): 966-974 (2006)
	2005
49		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
48		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
47		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)
46		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)
45		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)
44		Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris: A spatially constrained mixture model for image segmentation. IEEE Transactions on Neural Networks 16(2): 494-498 (2005)
43		Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Motif-Based Protein Sequence Classification Using Neural Networks. Journal of Computational Biology 12(1): 64-82 (2005)
42		Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas: Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. Neural Parallel & Scientific Comp. 13: 161-178 (2005)
	2004
41		Konstantinos Valasoulis, Aristidis Likas: Probabilistic Shape-Based Image Indexing and Retrieval. ICPR (2) 2004: 969-972
40		Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas: Non Stationary Bayesian Image Restoration. ICPR (4) 2004: 689-692
39		Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick: Relevance Vector Machine Analysis of Functional Neuroimages. ISBI 2004: 1004-1007
38		Constantinos Constantinopoulos, Aristidis Likas: Efficient Training Algorithms for the Probabilistic RBF Network. SETN 2004: 183-190
37		Konstantinos Blekas, Aristidis Likas: Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219
36		Aristidis Likas, Nikolas P. Galatsanos: A variational approach for Bayesian blind image deconvolution. IEEE Transactions on Signal Processing 52(8): 2222-2233 (2004)
35		Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis: A clustering method based on boosting. Pattern Recognition Letters 25(6): 641-654 (2004)
	2003
34		Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN 2003: 702-709
33		Aristidis Likas, Nikolas P. Galatsanos: A variational method for Bayesian blind image deconvolution. ICIP (2) 2003: 973-976
32		Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Greedy mixture learning for multiple motif discovery in biological sequences. Bioinformatics 19(5): 607-617 (2003)
31		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)
30		Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas: A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. 6(1): 32-40 (2003)
29		Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)
	2002
28		A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas: CITATION - Citizen Information Tool in Smart Administration. EGOV 2002: 307-312
27		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
26		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
25		Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas: A Bayesian Regularization Method for the Probabilistic RBF Network. SETN 2002: 337-345
24		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)
23		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)
22		Michalis K. Titsias, Aristidis Likas: Mixture of Experts Classification Using a Hierarchical Mixture Model. Neural Computation 14(9): 2221-2244 (2002)
21		Nikos A. Vlassis, Aristidis Likas: A Greedy EM Algorithm for Gaussian Mixture Learning. Neural Processing Letters 15(1): 77-87 (2002)
	2001
20		Aristidis Likas: Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network. Neural Processing Letters 13(3): 213-220 (2001)
	2000
19		Michalis K. Titsias, Aristidis Likas: A Probabilistic RBF Network for Classification. IJCNN (4) 2000: 238-243
18		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
17		Aristidis Likas, Andreas Stafylopatis: Training the random neural network using quasi-Newton methods. European Journal of Operational Research 126(2): 331-339 (2000)
	1999
16		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)
15		Aristidis Likas: A Reinforcement Learning Approach to Online Clustering. Neural Computation 11(8): 1915-1932 (1999)
14		Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm. Neural Processing Letters 9(2): 119-127 (1999)
	1998
13		Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm CoRR cs.NE/9812002: (1998)
12		Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou: Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains CoRR cs.NE/9812003: (1998)
11		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
10		Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis: A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI 1997: 323-330
9		Aristidis Likas, George Papageorgiou, Andreas Stafylopatis: A Connectionist Approach for Solving Large Constraint Satisfaction Problems. Appl. Intell. 7(3): 215-225 (1997)
	1996
8		Aristidis Likas, Andreas Stafylopatis: High Capacity Associative Memory Based on The Random Neural Network Model. IJPRAI 10(8): 919-937 (1996)
7		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
6		Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis: Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314
5		Aristidis Likas, Andreas Stafylopatis: A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. Inf. Process. Lett. 53(4): 229-234 (1995)
4		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)
	1993
3		D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis: Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems. ESANN 1993
	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	[77]
2	A. G. Anagnostakis	[27] [28] [45]
3	Konstantinos Blekas	[6] [7] [10] [32] [34] [37] [43] [44] [46] [72]
4	Giannis K. Chantas	[40] [51] [69]
5	John Chantas	[48]
6	Vasileios Chasanis	[70] [71] [76] [78] [82] [87] [91]
7	X. Chen	[61]
8	Constantinos Constantinopoulos	[25] [38] [49] [50] [52] [57] [59] [68] [96]
9	Dimitrios I. Fotiadis	[11] [18] [23] [24] [27] [28] [32] [34] [43] [45] [47] [53] [89]
10	Dimitrios S. Frossyniotis	[35]
11	Dimitrios Frosyniotis	[30]
12	Nikolas P. Galatsanos	[33] [36] [39] [40] [44] [46] [48] [49] [51] [55] [56] [58] [60] [61] [62] [65] [69] [70] [71] [72] [73] [75] [76] [78] [81] [82] [83] [85] [86] [88] [90]
13	Demetrios Gerogiannis	[66] [67] [79]
14	Yorgos Goletsis	[53]
15	Argyris Kalogeratos	[54] [87] [95]
16	Vasileios Karavasilis	[92] [94]
17	Petros S. Karvelis	[89]
18	C. D. Katsis	[53]
19	Igor Kononenko	[96]
20	D. Kontoravdis	[2] [3] [4]
21	Matjaz Kukar	[63]
22	Isaac E. Lagaris	[11] [12] [13] [14] [26] [42] [44] [46]
23	Athanasios P. Liavas	[18]
24	Ana S. Lukic	[39] [61]
25	Apostolos Marakakis	[56] [75] [85] [88]
26	Lampros K. Michalis	[18] [24]
27	Christophoros Nikou	[60] [66] [67] [79] [90] [92] [94]
28	Athanasios Papadopoulos	[23] [47]
29	Dimitris G. Papageorgiou	[12]
30	George Papageorgiou	[9]
31	Costas Papaloukas	[18] [24]
32	Marko Robnik-Sikonja	[96]
33	G. C. Sakellaris	[27] [28] [45]
34	I. Sarmas	[53]
35	Michael Saunders	[69]
36	Giorgos Sfikas	[49]
37	Andreas Stafylopatis	[1] [2] [3] [4] [5] [6] [8] [9] [10] [17] [30] [35] [56] [75] [85] [88]
38	Stephen C. Strother	[61]
39	Erik Strumbelj	[96]
40	Michalis K. Titsias	[19] [22] [25] [31] [52]
41	Ioannis G. Tsoulos	[26] [42]
42	Dimitris Tzikas	[39] [55] [58] [61] [62] [63] [65] [73] [81] [83] [86] [93]
43	M. Tzima	[27] [28] [45]
44	Grigorios Tzortzis	[64] [74] [80] [84]
45	Konstantinos Valasoulis	[41]
46	Jakob J. Verbeek	[29]
47	Nikos A. Vlassis	[16] [21] [29]
48	Miles N. Wernick	[39] [61]
49	Yongyi Yang	[61]
50	E. Zhao	[61]

Colors in the list of coauthors

Last update Sat Feb 11 22:55:45 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page