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Aristidis Likas Vis

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*2009
78EEDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59
77EEApostolos 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
76EEGrigorios Tzortzis, Aristidis Likas: Convex Mixture Models for Multi-view Clustering. ICANN (2) 2009: 205-214
75EEDimitris 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)
74EEDemetrios 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)
73EEVasileios 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
72EEAnastasios Alivanoglou, Aristidis Likas: Probabilistic Models Based on the Pi-Sigmoid Distribution. ANNPR 2008: 36-43
71EEVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) 2008: 847-856
70EEApostolos 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
69EEGrigorios Tzortzis, Aristidis Likas: The global kernel k-means clustering algorithm. IJCNN 2008: 1977-1984
68EEDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312
67EEKonstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas: A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72
66EEVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Video rushes summarization using spectral clustering and sequence alignment. TVS 2008: 75-79
65EEVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: A Support Vector Machine Approach for Video Shot Detection. New Directions in Intelligent Interactive Multimedia 2008: 45-54
64EEGiannis 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
63EEConstantinos Constantinopoulos, Aristidis Likas: Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603
62EEDemetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Robust Image Registration using Mixtures of t-distributions. ICCV 2007: 1-8
61EEDemetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Rigid Image Registration based on Pixel Grouping. ICIAP 2007: 595-602
60EEDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112
59EEGrigorios Tzortzis, Aristidis Likas: Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309
58EEDimitris 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
56EEAna 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)
55EEChristophoros 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)
54EEConstantinos Constantinopoulos, Aristidis Likas: Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Transactions on Neural Networks 18(3): 745-755 (2007)
53EEDimitris 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
52EEConstantinos Constantinopoulos, Aristidis Likas: Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366
51EEApostolos 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
50EEDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399
49EEArgyris Kalogeratos, Aristidis Likas: A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519
48EEC. 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)
47EEConstantinos 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)
46EEGiannis 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)
45EEConstantinos Constantinopoulos, Aristidis Likas: An incremental training method for the probabilistic RBF network. IEEE Transactions on Neural Networks 17(4): 966-974 (2006)
2005
44EEGiorgos 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
43EEJohn 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
42EEAthanasios 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)
41EEKonstantinos 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)
40EEA. 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)
39EEKonstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Motif-Based Protein Sequence Classification Using Neural Networks. Journal of Computational Biology 12(1): 64-82 (2005)
2004
38EEKonstantinos Valasoulis, Aristidis Likas: Probabilistic Shape-Based Image Indexing and Retrieval. ICPR (2) 2004: 969-972
37EEGiannis 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
35EEConstantinos Constantinopoulos, Aristidis Likas: Efficient Training Algorithms for the Probabilistic RBF Network. SETN 2004: 183-190
34EEKonstantinos Blekas, Aristidis Likas: Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219
33EEDimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis: A clustering method based on boosting. Pattern Recognition Letters 25(6): 641-654 (2004)
2003
32EEKonstantinos 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)
29EEMichalis 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)
28EEDimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas: A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. 6(1): 32-40 (2003)
27EEAristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)
2002
26EEA. 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
24EEIoannis 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
23EEConstantinos 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)
20EEMichalis 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
17EEMichalis K. Titsias, Aristidis Likas: A Probabilistic RBF Network for Classification. IJCNN (4) 2000: 238-243
16EECostas 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
12EEAristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm CoRR cs.NE/9812002: (1998)
11EEIsaac E. Lagaris, Aristidis Likas, D. G. Papageorgiou: Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains CoRR cs.NE/9812003: (1998)
10EEIsaac 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
9EEKonstantinos 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
5EEAristidis Likas, Konstantinos Blekas, Andreas Stafylopatis: Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314
4EEAristidis 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
1EEAndreas Stafylopatis, Aristidis Likas: Pictorial Information Retrieval Using the Random Neural Network. IEEE Trans. Software Eng. 18(7): 590-600 (1992)

Coauthor Index

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)