Aristidis Likas

Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Registering sets of points using Bayesian regression. Neurocomputing 89: 122-133 (2012)

Argyris Kalogeratos, Aristidis Likas: Text document clustering using global term context vectors. Knowl. Inf. Syst. 31(3): 455-474 (2012)

Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas: Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO 2012: 65-72

Konstantinos Blekas, Aristidis Likas: The Mixture of Multi-kernel Relevance Vector Machines Model. ICDM 2012: 111-120

Grigorios Tzortzis, Aristidis Likas: Kernel-Based Weighted Multi-view Clustering. ICDM 2012: 675-684

Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Fast and efficient vanishing point detection in indoor images. ICPR 2012: 3244-3247

Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas: Visual Tracking by Weighted Likelihood Maximization. ICTAI 2012: 246-252

Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas: Gaussian Mixture-based Mean Shift for Tracking under Abrupt Illumination Changes. IIH-MSP 2012: 510-513

Argyris Kalogeratos, Aristidis Likas: Dip-means: an incremental clustering method for estimating the number of clusters. NIPS 2012: 2402-2410

Grigorios Tzortzis, Aristidis Likas: Greedy Unsupervised Multiple Kernel Learning. SETN 2012: 73-80

Argyris Kalogeratos, Aristidis Likas: Document clustering using synthetic cluster prototypes. Data Knowl. Eng. 70(3): 284-306 (2011)

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)

Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj: Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) 2011: 169-179

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)

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)

Dimitris Tzikas, Aristidis Likas: An Incremental Bayesian Approach for Training Multilayer Perceptrons. ICANN (1) 2010: 87-96

Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas: Visual Tracking by Adaptive Kalman Filtering and Mean Shift. SETN 2010: 153-162

Vasileios Chasanis, Aristidis Likas: Event Detection and Classification in Video Surveillance Sequences. SETN 2010: 309-314

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)

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)

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)

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)

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Sparse Bayesian Modeling With Adaptive Kernel Learning. IEEE Transactions on Neural Networks 20(6): 926-937 (2009)

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)

Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas: Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR 2009

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59

Grigorios Tzortzis, Aristidis Likas: Convex Mixture Models for Multi-view Clustering. ICANN (2) 2009: 205-214

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

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

Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael A. Saunders: Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. IEEE Transactions on Image Processing 17(10): 1795-1805 (2008)

Anastasios Alivanoglou, Aristidis Likas: Probabilistic Models Based on the Pi-Sigmoid Distribution. ANNPR 2008: 36-43

Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) 2008: 847-856

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

Grigorios Tzortzis, Aristidis Likas: The global kernel k-means clustering algorithm. IJCNN 2008: 1977-1984

Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Video rushes summarization using spectral clustering and sequence alignment. TVS 2008: 75-79

Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas: A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312

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

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)

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)

Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, Xu 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)

Constantinos Constantinopoulos, Aristidis Likas: Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Transactions on Neural Networks 18(3): 745-755 (2007)

Constantinos Constantinopoulos, Aristidis Likas: Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603

Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Robust Image Registration using Mixtures of t-distributions. ICCV 2007: 1-8

Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas: Rigid Image Registration based on Pixel Grouping. ICIAP 2007: 595-602

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112

Grigorios Tzortzis, Aristidis Likas: Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309

Dimitris Tzikas, Matjaz Kukar, Aristidis Likas: Transductive Reliability Estimation for Kernel Based Classifiers. IDA 2007: 37-47

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150

Christos D. Katsis, Yorgos Goletsis, Aristidis Likas, Dimitrios I. Fotiadis, Ioannis Sarmas: A novel method for automated EMG decomposition and MUAP classification. Artificial Intelligence in Medicine 37(1): 55-64 (2006)

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)

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)

Constantinos Constantinopoulos, Aristidis Likas: An incremental training method for the probabilistic RBF network. IEEE Transactions on Neural Networks 17(4): 966-974 (2006)

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

Constantinos Constantinopoulos, Aristidis Likas: Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399

Argyris Kalogeratos, Aristidis Likas: A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519

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)

Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Motif-Based Protein Sequence Classification Using Neural Networks. Journal of Computational Biology 12(1): 64-82 (2005)

Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas: Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. Neural Parallel & Scientific Comp. 13(2): 161-178 (2005)

Vasilios C. Protopappas, Dina Baga, Dimitrios I. Fotiadis, Aristidis Likas, Athanasios A. Papachristos, Konstantinos N. Malizos: An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones. IEEE Trans. Biomed. Engineering 52(9): 1597-1608 (2005)

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)

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)

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)

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

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

Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis: A clustering method based on boosting. Pattern Recognition Letters 25(6): 641-654 (2004)

Yorgos Goletsis, Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Lampros K. Michalis: Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis. IEEE Trans. Biomed. Engineering 51(10): 1717-1725 (2004)

Aristidis Likas, Nikolas P. Galatsanos: A variational approach for Bayesian blind image deconvolution. IEEE Transactions on Signal Processing 52(8): 2222-2233 (2004)

Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas: Non Stationary Bayesian Image Restoration. ICPR (4) 2004: 689-692

Konstantinos Valasoulis, Aristidis Likas: Probabilistic Shape-Based Image Indexing and Retrieval. ICPR (2) 2004: 969-972

Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick: Relevance Vector Machine Analysis of Functional Neuroimages. ISBI 2004: 1004-1007

Constantinos Constantinopoulos, Aristidis Likas: Efficient Training Algorithms for the Probabilistic RBF Network. SETN 2004: 183-190

Konstantinos Blekas, Aristidis Likas: Incremental Mixture Learning for Clustering Discrete Data. SETN 2004: 210-219

Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Greedy mixture learning for multiple motif discovery in biological sequences. Bioinformatics 19(5): 607-617 (2003)

A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas: CITATION: Smart Administrations in the Healthcare Sector. Health Informatics Journal 9(2): 67-78 (2003)

F. Vartziotis, Dimitrios I. Fotiadis, Aristidis Likas, Isaac E. Lagaris: A Portable Decision Making Tool for Health Professionals Based on Neural Networks. Health Informatics Journal 9(4): 273-282 (2003)

Dimitrios Frosyniotis, Andreas Stafylopatis, Aristidis Likas: A divide-and-conquer method for multi-net classifiers. Pattern Anal. Appl. 6(1): 32-40 (2003)

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)

Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)

Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas: Protein Sequence Classification Using Probabilistic Motifs and Neural Networks. ICANN 2003: 702-709

Aristidis Likas, Nikolas P. Galatsanos: A variational method for Bayesian blind image deconvolution. ICIP (2) 2003: 973-976

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)

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)

Michalis K. Titsias, Aristidis Likas: Mixture of Experts Classification Using a Hierarchical Mixture Model. Neural Computation 14(9): 2221-2244 (2002)

Nikos A. Vlassis, Aristidis Likas: A Greedy EM Algorithm for Gaussian Mixture Learning. Neural Processing Letters 15(1): 77-87 (2002)

A. G. Anagnostakis, G. C. Sakellaris, M. Tzima, Dimitrios I. Fotiadis, Aristidis Likas: CITATION - Citizen Information Tool in Smart Administration. EGOV 2002: 307-312

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

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

Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas: A Bayesian Regularization Method for the Probabilistic RBF Network. SETN 2002: 337-345

Aristidis Likas: Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network. Neural Processing Letters 13(3): 213-220 (2001)

Michalis K. Titsias, Aristidis Likas: Shared kernel models for class conditional density estimation. IEEE Transactions on Neural Networks 12(5): 987-997 (2001)

Aristidis Likas, Andreas Stafylopatis: Training the random neural network using quasi-Newton methods. European Journal of Operational Research 126(2): 331-339 (2000)

Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou: Neural-network methods for boundary value problems with irregular boundaries. IEEE Trans. Neural Netw. Learning Syst. 11(5): 1041-1049 (2000)

Michalis K. Titsias, Aristidis Likas: A Probabilistic RBF Network for Classification. IJCNN (4) 2000: 238-243

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

Aristidis Likas: A Reinforcement Learning Approach to Online Clustering. Neural Computation 11(8): 1915-1932 (1999)

Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm. Neural Processing Letters 9(2): 119-127 (1999)

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)

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)

Aristidis Likas, Isaac E. Lagaris: Training Reinforcement Neurocontrollers Using the Polytope Algorithm. CoRR cs.NE/9812002 (1998)

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)

Aristidis Likas, George Papageorgiou, Andreas Stafylopatis: A Connectionist Approach for Solving Large Constraint Satisfaction Problems. Appl. Intell. 7(3): 215-225 (1997)

Konstantinos Blekas, Aristidis Likas, Andreas Stafylopatis: A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns. ICTAI 1997: 323-330

Aristidis Likas, Andreas Stafylopatis: High Capacity Associative Memory Based on The Random Neural Network Model. IJPRAI 10(8): 919-937 (1996)

Aristidis Likas, Konstantinos Blekas: A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network. Neural Processing Letters 4(3): 167-172 (1996)

Aristidis Likas, Andreas Stafylopatis: Group updates and multiscaling: an efficient neural network approach to combinatorial optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 26(2): 222-232 (1996)

Aristidis Likas, Andreas Stafylopatis: A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem. Inf. Process. Lett. 53(4): 229-234 (1995)

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)

Aristidis Likas, George Papageorgiou, Andreas Stafylopatis: A parallelizable operation scheme of the Boltzmann machine optimizer based on group updates. Neural Parallel & Scientific Comp. 3(4): 451-465 (1995)

Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis: Parallel Recombinative Reinforcement Learning (Extended Abstract). ECML 1995: 311-314

D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis: Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems. ESANN 1993

Andreas Stafylopatis, Aristidis Likas: Pictorial Information Retrieval Using the Random Neural Network. IEEE Trans. Software Eng. 18(7): 590-600 (1992)

D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis: Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning. ECAI 1992: 666-670