Aristidis Likas 

    Associate Professor
    Department of Computer Science
    University of Ioannina
    GR-45110 Ioannina, Greece
    Tel     : +30-26510-08810
    Fax     : +30-26510-08882

Diploma in Electrical Engineering, National Technical University of Athens, June 1990.

Ph.D. in Electrical and Computer Engineering, National Technical University of Athens, July 1994.

Research Interests

  • Neural Networks
  • Machine Learning and Data Mining
  • Machine Learning for Signal, Image and Video Analysis
  • Bioinformatics
  • Text Mining

Courses

  • Artificial Intelligence (undergraduate)
  • Computational Intelligence (undergraduate)
  • Data Mining (graduate)
  • Machine Learning (graduate)

Associate Editor: IEEE Transactions on Neural Networks (2008-)

CV

Journal Publications

Conference Publications

  • E. Gelenbe, A. Stafylopatis and A. Likas, "Associative Memory Operation of the Random Network Model", Proc. International Conference on Artificial Neural Networks (ICANN 91) , Vol. 1, pp. 307-312, Espoo, Finland, June 1991, (North-Holland, 1991).
  • A. Likas and A. Stafylopatis, "An Investigation of the Analogy between the Random Network and the Hopfield Network", Proc. 6th International Symposium on Computer and Information Sciences , pp. 849-857, Antalya, Turkey, Nov. 1991.
  • D. Kontoravdis, A. Likas and A. Stafylopatis, "Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning", Proc. European Conference on Artificial Intelligence (ECAI 92) , pp. 666-670, Vienna, August 1992.
  • D. Kontoravdis, A. Likas and A. Stafylopatis, "A Reinforcement Learning Algorithm for Networks of Units with Two Stochastic Levels", Proc. International Conference on Artificial Neural Networks (ICANN 92) , pp. 143-146, Brighton, UK, Sep. 1992.
  • D. Kontoravdis, A. Likas and A. Stafylopatis, "Embedding Knowledge into Stochastic Learning Automata for Fast Solution of Binary Constraint Satisfaction Problems", Proc. European Symposium on Artificial Neural Networks (ESANN'93) , pp. 21-26, Brussels, April 1993.
  • A. Likas and A. Stafylopatis, "A Neural Network Technique for Associative Retrieval of Symbolic Pictures", Proc. IEEE Int. Conf. on Neural Network Applications to Signal Processing (NNASP'93) , pp. 204-209, Singapore, August 1993.
  • D. Kontoravdis, A. Likas and A. Stafylopatis, "Efficient Reinforcement Learning Stategies for the Pole Balancing Problem", Proc. International Conference on Artificial Neural Networks (ICANN 94) , Vol. 1, pp. 659-662, Sorento, Italy, May 1994.
  • D. Kontoravdis, A. Likas, K. Blekas and A. Stafylopatis, "A Fuzzy Neural Network Approach to Autonomous Vehicle Navigation", Proc. European Robotics and Intelligent Systems Conference (EURISCON'94) , pp. 243-252, Malaga, Spain, August 1994.
  • A. Likas, K. Blekas and A. Stafylopatis, "Application of Fuzzy Min-Max Neural Network Classifier to Problems with Continuous and Discrete Attributes", Proc. IEEE Int. Workshop on Neural Networks for Signal Processing (NNSP'94) , pp. 163-170, Ermioni, Greece, September 1994.
  • A. Likas, K. Blekas and A. Stafylopatis, "Parallel Recombinative Reinforcement Learning", Proc. 8th European Conference on Machine Learning (ECML-95) , Heraklion, Greece, April 1995, (Lecture Notes in Artificial Intelligence, Vol. 912, pp. 311-314, Springer Verlag, 1995).
  • A. Bouju, J.F. Boyce, C. Dimitropoulos, G. vom Scheidt, J. Taylor, A. Likas, G. Papageorgiou and A. Stafylopatis, "Intelligent Search for the Radio Links Frequency Assignment Problem", Proc. Int. Conference on Digital Signal Processing (DSP95) , pp. 408-414, Limassol, Cyprus, June 1995.
  • K. Blekas, A. Likas and A. Stafylopatis, "A Fuzzy Neural Network Approach Based on Dirichlet Tesselations for Nearest Neighbor Classification of Patterns", Proc. IEEE Int. Workshop on Neural Networks for Signal Processing (NNSP'95) , pp. 153-161, Boston, MA, Aug.-Sep. 1995.
  • I. Lagaris, A. Likas, D. Fotiadis and C. Massalas, "A Hardware Implementable Non-linear Method for the Solution of Ordinary, Partial and Integrodifferential Equations", Workshop on Applied Mathematics in Science and Modern Technology, Metsovo, Greece, July 1997.
  • K. Blekas, A. Likas and A. Stafylopatis, "A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns", Proc. 9th IEEE Int. Conference on Tools with Artificial Intelligence (ICTAI'97) , Newport Beach, CA, November, 1997.
  • M. Titsias and A. Likas, "A Probabilistic RBF Network for Classification", Proc. of the Int. Joint Conference on Neural Networks (IJCNN'2000) , Como, Italy, July 2000.
  • M. Titsias, D. Fotiadis and A. Likas, "Estimation of Concrete Characteristics Using Pattern Recognition Methods", 6th National Congress on Mechanics , Thessaloniki, Greece, 2001.
  • C. Papaloukas, D. Fotiadis, A. Likas and L. Michalis, "A Neural Network Methodology for Ischaemia Detection in Long Duration Elec trocardiograms", Neural Networks and Expert Systems in Medicine and Healthcare, NNESMED 2001 , Milos, Greece, June 2001.
  • A. Papadopoulos, D. Fotiadis and A. Likas, "A Hybrid Neural Network Method for Microcalcification Cluster Detection in Mammography", Neural Networks and Expert Systems in Medicine and Healthcare, NNESMED 2001 , Milos, Greece, June 2001.
  • D. Frossyniotis, S. Vrettos, A. Stafylopatis, D. Fotiadis, A. Likas and G. Potamias, "An Intelligent System for the Early Diagnos is of Coronary Artery Disease", Neural Networks and Expert Systems in Medicine and Healthcare, NNESMED 2001 Milos, Greece, June 2001.
  • K. Blekas, D. Fotiadis and A. Likas, "A Sequential Method for Discovering Probabilistic Motifs in Proteins", 4th International Workshop on Biosignal Interpretation , June 2002, Villa Olmo, Como, Italy.
  • K. Valasoulis, D. Fotiadis, I. Lagaris and A. Likas, "Solving Differential Equations with Neural Networks: Implementation on a DSP Platform", 14th International Conference on Digital Signal Processing , Santorini, Greece, July 2002.
  • C. Constantinopoulos, M. Titsias and A. Likas, "A Bayesian Regularization Method for the Probabilistic RBF Network", Proc. 2nd Hellenic Conference on AI, SETN 2002 , pp. 337-345, Springer, 2002.
  • I. Tsoulos,  I. Lagaris and A. Likas, "Piecewise Neural Networks for Function Approximation Cast in a Form Suitable for Parallel Implementation", Proc. 2nd Hellenic Conference on AI, SETN 2002 , pp. 314-324, Springer, 2002.
  • K. Blekas, D. Fotiadis and A. Likas, "Protein Sequence Classification using Probabilistic Motifs and Neural Networks ", Proc. Intern. Conference on Artificial Neural Networks (ICANN/ICONIP 2003) , Istanbul, Turkey, Lecture Notes in Computer Science, vol. 2714, Springer -Verlag, pp. 702-709, 2003.
  • K. Blekas and A. Likas, "Incremental Mixture Learning for Clustering Discrete Data", Proc. 3rd Hellenic Conference on AI, SETN 2004 , pp. 210-219, Springer, 2004.
  • C. Constantinopoulos and A. Likas, "Efficient Training Algorithms for the Probabilistic RBF Network", Proc. 3rd Hellenic Conference on AI, SETN 2004 , pp. 183-190, Springer, 2004.
  • A. Likas and N. Galatsanos, "A Variational Method for Bayesian Blind Image Deconvolution", Proceedings of the IEEE International Conference on Image Processing (ICIP'03), Barcelona, Spain, September 2003.
  • K. Valasoulis and A. Likas, "Probabilistic Shape-Based Image Indexing and Retrieval", Proceedings of the IEEE International Conference on Pattern Recognition (ICPR'04) , Cambridge, UK, August 2004.
  • G. Chantas, N. Galatsanos and A. Likas, "Non Stationary Bayesian Image Restoration", Proceedings of the IEEE International Conference on Pattern Recognition (ICPR'04), Cambridge, UK, August 2004.
  • D. Tzikas, A. Likas, N. Galatsanos, A. Lukic and M. Wernick, "Bayesian Regression of Functional Neuroimages", Proc. EUSIPCO-2004 , Vienna, August 2004.
  • K. Blekas, A. Likas, N. Galatsanos and I. Lagaris, "Mixture Model Based Image Segmentation with Spatial Constraints", Proc. EUSIPCO-2004 , Vienna, August 2004.
  • G. Sfikas, C. Constantinopoulos, A. Likas and N. Galatsanos, "An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval", Proc. 15th Int. Conf. on Artificial Neural Networks (ICANN’05), Part II, pp. 835-840, Springer, 2005.
  • G. Chantas, N. Galatsanos and A. Likas, "Maximum a Posteriori Image Restoration Based on a New Directional Continuous Edge Image Prior", Proc. IEEE Int. Conf. on Image Processing (ICIP'05), vol. I, pp. 941-944, September 2005.
  • D. Tzikas, A. Likas, and N. Galatsanos, "Large scale multikernel RVM for object detection", Proc. Hellenic Conference on Artificial Intelligence (SETN'06), pp. 389-399, Heraklion, Crete, Greece, Springer, 2006.
  • A. Kalogeratos and A. Likas, "A Significance-Based Graph Model for Clustering Web Documents", Proc. Hellenic Conference on Artificial Intelligence (SETN'06), pp. 516-519, Heraklion, Crete, Greece, Springer, 2006.
  • C. Constantinopoulos and A. Likas,"Active Learning with the Probabilistic RBF Classifier", Proc. 16th Int. Conf. on Artificial Neural Networks (ICANN’06), vol. 1, pp 257-366, Athens, Greece, Springer, 2006.
  • A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models", Proc. 16th Int. Conf. on Artificial Neural Networks (ICANN’06), vol. 2, pp. 84-93, Athens, Greece, Springer, 2006.
  • C. Constantinopoulos and A. Likas, "Active Bayesian Mixture Learning for Image Modeling and Segmentation Using Low Level Features", Proc. Machine Learning for Signal Processing (MLSP’06), Ireland, Sept. 2006.
  • D. Tzikas, A. Likas, and N. Galatsanos. Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function, Proc. European Signal Processing Conference (EUSIPCO'06), Florence, Italy, September 2006.
  • D. Tzikas, A. Likas, and N. Galatsanos. Robust variational Bayesian kernel based blind image deconvolution, Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP’07), pp. 143-150, Barcelona, Spain, March 2007.
  • V. Chasanis, A. Likas and N. Galatsanos, "Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation", Proc. IEEE Int. Workshop on Multimedia Signal Processing (MMSP’07), pp. 187-190, Chania, Greece, 2007.
  • D. Gerogiannis, C. Nikou and A. Likas, A, "Rigid image registration based on pixel grouping", Proc. 14th Int. Conf. on Image Analysis and Processing (ICIAP’07), pp. 595-602, Modena, Italy, 2007.
  • D. Gerogiannis, C. Nikou and A. Likas, "Robust image registration using mixtures of t-distributions", Proc. 8th IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'07), in conjunction with ICCV'07, Rio, Brazil, 2007.
  • D. Tzikas, M. Kukar, and A. Likas. Transductive reliability estimation for kernel based classifiers, Proc. Int. Symposium on Intelligent Data Analysis (IDA'07), pp. 37-47, Ljubljana, Slovenia, Springer 2007.
  • G. Chantas, N. Galatsanos, and A. Likas, "Bayesian Image Restoration Based on Variational Inference and a Product of Student-t Priors", Proc. IEEE Int. Conf. on Machine Learning for Signal Processing (MLSP'07), Thessaloniki, Greece, August 2007.
  • C. Constantinopoulos and A. Likas, "Image Modeling and Segmentation using Incremental Bayesian Mixture Models", Proc. 12th Int. Conf. on Computer Analysis of Images and Patterns (CAIP'07), pp. 596-603, Springer, 2007.
  • D. Tzikas, A. Likas, and N. Galatsanos. Bayesian bid based on a kernel model for the point spread function, Proc. IEEE Int. Conf. on Image Processing (ICIP'07), San Antonio, USA, September 2007.
  • G. Tzortzis and A. Likas, "Deep Belief Networks for Spam Filtering", Proc. Int. Conf. on Tools with AI (ICTAI’07), vol. 2, pp. 306-309, Patras, Greece, 2007.
  • G. Tzortzis and A. Likas, "The Global Kernel K-means Clustering Algorithm", Proc. Int. Joint Conf. on Neural Networks (IJCNN’08), pp. 1977-1984, Hong, Kong, June 2008.
  • A. Alivanoglou and A. Likas, "Probabilistic Models Based on the Pi-Sigmoid Distribution", Proc. 3rd IAPR Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR’08), pp. 36-43, Paris, Springer 2008.
  • V. Chasanis, A. Likas and N. Galatsanos, "A Support Vector Machine Approach for Video Shot Detection", Proc. Int. Symposium on Intelligent Interactive Multimedia Systems and Services (IIMSS’08), Piraeus, Greece, pp. 45-54, Springer 2008.
  • V. Chasanis, A. Likas and N. Galatsanos, "Video rushes summarization using spectral clustering and sequence alignment", Proceedings of the 2nd ACM Workshop on Video Summarization (TVS’08), Vancouver, Canada, October 2008.
  • V. Chasanis, A. Likas and N. Galatsanos, "Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach", Proc. Int. Conf. on Artificial Neural Networks (ICANN’08), vol. 1 pp. 847-856, Prague, Springer, 2008.
  • K. Blekas, N. Galatsanos and A. Likas, "A Sparse Regression Mixture Model for Clustering Time-Series", Proc. Hellenic Conference on Artificial Intelligence (SETN'08), pp. 64-72, Syros, Greece, Springer 2008.
  • D. Tzikas, A. Likas, and N. Galatsanos, "Incremental relevance vector machine with kernel learning", Proc. Hellenic Conference on Artificial Intelligence (SETN'08), pp. 301-312, Syros, Greece, Springer 2008.
  • A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models", Proc. Int. Conf. on Tools with AI (ICTAI’08), vol. 1, pp. 141-148, Dayton, Ohio, 2008.
  • V. Chasanis, A. Likas and N. Galatsanos, " Movie Segmentation into Scenes and Chapters Using Locally Weighted Bag of Visual Words", Proc. ACM International Conference on Image and Video Retrieval (CIVR’09), Santorini, Greece, July 2009.
  • D. Tzikas, A. Likas, and N. Galatsanos, "Local Feature Selection for the Relevance Vector Machine using Adaptive Kernel Learning", Proc. Int. Conf. on Artificial Neural Networks (ICANN’09), Limassol, Cyprus, Springer, 2009.
  • A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection", Proc. Int. Conf. on Artificial Neural Networks (ICANN’09), Limassol, Cyprus, Springer, 2009.
  • G. Tzortzis and A. Likas, "Convex Mixture Models for Multi-view Clustering", Proc. Int. Conf. on Artificial Neural Networks (ICANN’09), Limassol, Cyprus, Springer, 2009.
  • V. Karavasilis, C. Nikou and A. Likas, "Visual tracking by adaptive Kalman filtering and mean shift", Proc. Hellenic Conference on Artificial Intelligence (SETN'10), pp. 153-162, Athens, Greece, Springer 2010.
  • V. Chasanis and A. Likas, "Event Detection and Classification in Video Surveillance Sequences", Proc. Hellenic Conference on Artificial Intelligence (SETN'10), Athens, Greece, Springer 2010.
  • D. Tzikas and A. Likas, "An Incremental Bayesian Approach for Training Multilayer Perceptrons,", Proc. Int. Conf. on Artificial Neural Networks (ICANN’10), Thessaloniki, Greece, Springer 2010.
  • M. Robnik-Sikonja, A. Likas, C. Constantinopoulos, I. Kononenko and E. Strumbelj, "Efficiently Explaining Decisions of Probabilistic RBF Classification Networks", Proc. ICANNGA 2011, Part. 1, pp. 169-179, Ljubljana, Slovenia, Springer 2011.


E-mail address: arly@cs.uoi.gr