Selected Publications of I.P.AN. research group:

Below you can find selected publications of our research group in refereed scientific journals, conferences, workshops, books etc. Further publications are available at the personal web pages of each author.


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2016

Journal Publications
[1]
M. Vrigkas, C. Nikou and I.A. Kakadiaris, "Identifying Human Behaviors Using Synchronized Audio-Visual Cues," IEEE Transactions on Affective Computing, 2016, DOI 10.1109/TAFFC.2015.2507168 (in press)
[2]
E. G. Datsika, A. V. Katsenou, L. P. Kondi, E. Papapetrou, K. E. Parsopoulos, "Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution", Digital Signal Processing, Vol. 50, March 2016, pp. 203-217.
 
Conference Publications
[1]
M. Vrigkas, C. Nikou and I.A. Kakadiaris, "Exploiting privileged information for facial expression recognition," in Proc. 9th IAPR/IEEE International Conference on Biometrics, Halmstad, Sweden, June 13-16, 2016. (Honorable Mention Paper Award)
[2]
M. Vrigkas, C. Nikou and I.A. Kakadiaris, "Active privileged learning of human activities from weakly labeled samples," 23rd IEEE International Conference on Image Processing, Phoenix, AZ, USA, September 25-28, 2016. (to appear)
[3]
I.A. Kakadiaris, N. Sarafianos and C. Nikou, "Show me your body: Gender classification from still images," 23rd IEEE International Conference on Image Processing, Phoenix, AZ, USA, September 25-28, 2016. (to appear)
[4]
A. Sankisa, K. Pandremmenou, L. P. Kondi, A. K. Katsaggelos, "A Novel Cumulative Distortion Metric and a No-Reference Sparse Prediction Model for Packet Prioritization in Encoded Video Transmission," 23rd IEEE International Conference on Image Processing, Phoenix, AZ, USA, September 25-28, 2016. (to appear)
[5]
K. Tziortziotis, K. Vlachos, and K. Blekas, "Reinforcement Learning-based Motion Planning of a Triangular Floating Platform under Environmental Disturbances," IEEE 24th Mediterranean Conference on Control and Automation, Athens, Greece, June 21-24, 2016. (to appear)
[6]
K. Tziortziotis, N. Tziortziotis, K. Vlachos, and K. Blekas, "Autonomous Navigation of an Over-actuated Marine Platform Using Reinforcement Learning," in Proc. 9th Hellenic Conference on Artificial Intelligence. Thessaloniki, Greece, May 18-20, 2016.
 

2015

Journal Publications
[1]
K. Vlachos, E. Papadopoulos, "Modeling and control of a novel over-actuated marine floating platform", Ocean Engineering, Volume 98, 1 April 2015, pp. 10-22.
[2]
E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos, "Preconditioning for Underdetermined Linear Systems with Sparce Solutions", IEEE Signal Processing Letters, 2015, vol.22, no.9, pp.1239,1243, Sept. 2015
doi: 10.1109/LSP.2015.2392000.
[3]
K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, "A Study on Visual Sensor Network Cross-Layer Resource Allocation Using Quality-Based Criteria and Metaheuristic Optimization Algorithms", Applied Soft Computing, Vol. 26, January 2015, pp. 149-165.
[4]
D. Riana, M. E. Plissiti, C. Nikou, D. H. Widyantoro and T. L. R. Mengko. Inflammatory cell extraction and nuclei detection in Pap smear images. International Journal of e-Health and Medical Communications, Vol.6, No 2, pp. 27-43, 2015. doi:10.4018/IJEHMC.2015040103.
[5]
D. Gerogiannis, C. Nikou and A. Likas. "Elimination of outliers from 2D point sets using the Helmholtz principle". IEEE Signal Processing Letters,  vol. 22, no. 10, pp. 1638-1642, October 2015
[6]
K. Vlachos, D. Papadimitriou and E .Papadopoulos, "Vibration-Driven Microrobot Positioning Methodologies for Nonholonomic Constraint Compensation," Engineering Transactions of CAE, Special Issue on Robotics (invited), vol. 1, no 1, pp. 66 -72, March 2015.
[7]
V. Karavasilis, C. Nikou and A. Likas. Visual tracking using spatially weighted likelihood of Gaussian mixtures. Computer Vision and Image Understanding, vol. 140, pp. 43-57, 2015. doi: 10.1016/j.cviu.2015.07.003.
[8]
M. Vrigkas, C. Nikou and I. A. Kakadiaris, A review of human activity recognition methods, Frontiers in Robotics and Artificial Intelligence, vol 2, no. 28, pp. 1-26, November 2015.
[9]
N. Tziortziotis, G. Papagiannis and K. Blekas. A Bayesian Ensemble Regression Frameworkon the Angry Birds Game. IEEE Transactions on Computational Intelligence and AI in Games, DOI: 10.1109/TCIAIG.2015.2494679 (in press)
[10]
V. Oikonomou and K. Blekas. Regression Mixture Modeling for fMRI Data Analysis, Frontiers of Medical Imaging, C.H. Chen editor, World Scientific Publishing, pp. 167-190, 2015.
 
Conference Publications
[1]
K. Pandremmenou, M. Shahid, L. P. Kondi, B. Lovstrom, "A No-Reference Bitstream-based Perceptual Model for Video Quality Estimation of Videos Affected by Coding Artifacts and Packet Losses", in Proc. Human Vision and Electronic Imaging XX, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 9394, San Francisco, CA, Feb. 2015.
[2]
K. Pandremmenou, N. Tziortziotis, S. Paluri, W. Zhang, K. Blekas, L. P. Kondi, S. Kumar, "Quality Optimization of H.264/AVC Video Transmission over Noisy Environments Using a Sparse Regression Framework", in Proc. Visual Information Processing and Communication VI, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 9410, San Francisco, CA, Feb. 2015.
[3]
A. Tsopelakos, K.  Vlachos, E. Papadopoulos, “Backstepping Control with Energy Reduction for an Over-Actuated Marine Platform,” Proc. 2015 IEEE International Conference on Robotics and Automation (ICRA’15), Washington, Seattle, May 26-30, 2015. (accepted for publication)
[4]
D. Gerogianis, C. Nikou and L. Kondi. "Shape encoding for edge map image compression". Proc. IEEE International Conference on Image Processing (ICIP'15), 27-30 September 2015, Quebec City, Canada
[5]
K. Papadimitriou and C. Nikou. Tomographic image reconstruction with a spatially varying Gaussian mixture prior. Proc. IEEE International Conference on Image Processing (ICIP’15), 27-30 September 2015, Quebec City, Canada.
[6]
A. Giotis, G. Sfikas, C. Nikou and B. Gatos. Shape-based word spotting in handwritten document images. Proc. 13th International Conference on Document Analysis and Recognition (ICDAR’15), 23-26 August 2015, Gammarth, Tunisia.
[7]
D. Gerogianis, C. Nikou and L. P . Kondi. Shape encoding for edge map image compression. in Proc.IEEE International Conference on Image Processing (ICIP’15), 27-30 September 2015, Quebec City, Canada
[8]
K. Papadimitriou and C. Nikou. Tomographic image reconstruction with a spatially varying Gaussian mixture prior. in Proc. IEEE International Conference on Image Processing (ICIP’15), 27-30 September 2015, Quebec City, Canada.
[9]
M. E. Plisiti, M. Vrigkas and C. Nikou, Segmentation of cell clusters in Pap smear images using intensity variation between superpixels, in Proc. 22nd International Conference on Systems, Signals and Image Processing (IWSSIP'15), pp. 184-187, London UK, September 10-12 2015.
 

2014

Journal Publications
[1]
D. Gerogiannis, C. Nikou and A. Likas, "Modeling sets of unordered points using highly eccentric ellipses", EURASIP Journal on Advances in Signal Processing, vol. 11, 2014.
[2]
G. Tzortzis and A. Likas, "The MinMax k-Means clustering algorithm", Pattern Recognition, vol. 47, pp. 2505–2516, 2014.
[3]
 P. Karvelis and A. Likas, "Fully Unsupervised M-FISH Chromosome Image Characterization", IEEE Journal of Biomedical and Health Informatics, vol. 17, no 6, pp. 1068-1078, 2014.
[4]
K. Blekas and A. Likas, "Sparse regression mixture modeling with the multi-kernel relevance vector machine", Knowledge and Information Systems, vol. 39, pp. 241-264, 2014.
[5]
M. Vrigkas, C. Nikou and L. P. Kondi. Robust MAP image super-resolution. Journal of Electronic Imaging23(4), 043016 (2014). doi:10.1117/1.JEI.23.4.043016.
[6]
G. Chantas, T. Gkamas and C. Nikou. Variational-Bayes optical flow. Journal of Mathematical Imaging and Vision, Vol. 50, No 3, pp. 199-213, 2014, DOI:10.1007/s10851-014-0494-3.
[7]
M. Vrigkas, V. Karavasilis, C. Nikou and I. Kakadiaris. Matching mixtures of curves for human action recognition. Computer Vision and Image Understanding, Vol. 119, pp. 27-40, 2014.
 
Conference Publications
[1]
N. Tziortziotis, G. Papagiannis and K. Blekas. "A Bayesian Ensemble Regression Framework on the Angry Birds Game", ECAI 2014 Symposium on AI in Angry Birds, Prague, 2014. Second Place on the the Angry Birds AI Competiton 2014
[2]
N. Tziortziotis, K. Tziortziotis and K. Blekas, "Play Ms. Pac-Man using an Advanced Reinforcement Learning Agent", in the 8th Hellenic Conference on Artificial Intelligence (SETN 2014), Ioannina, Greece, May 2014.
[3]
A. Ioannidis, V. Chasanis and A. Likas, "Key-frame Extraction using Weighted Multi-View Convex Mixture Models and Spectral Clustering", Proc. Int. Conf. Pattern Recognition (ICPR'14), Stockholm, 2014 (Best Scientific Paper Award)
[4]
G. Tzortzis and A. Likas, "Ratio-Based Multiple Kernel Clustering", Proc Eur. Conf. Machine Learning (ECML’14), Nancy, France, 2014.
[5]
D. Gerogianis, C. Nikou and A. Likas. "Global sampling of image edges". IEEE International Conference on Image Processing (ICIP’14), 27-30 October 2014, Paris, France, pp. 4712-4716. 
[6]
A. Giotis, D. Gerogiannis and C. Nikou. "Word spotting in handwritten text using contour-based models". 14th International Conference on Frontiers in Handwriting Recognition (ICFHR‘14), 1-4 September 2014, Hersonisos, Crete, Greece, pp. 399-404, 2014. 
[7]
M. Vrigkas, C. Nikou and I. Kakadiaris. "Classifying behavioral attributes using conditional random fileds". 8th Hellenic Conference on Artificial Intelligence (SETN'14), Ioannina, Greece, 15-17 May 2014. Lecture Notes in Computer Science, Vol. 8445, pp. 95-104,2014.
[8]
M. Plissiti, E. Louka and C. Nikou. "Splitting of overlapping nuclei guided by robust combinations of concavity points". SPIE Medical Imaging 2014, San Diego, CA, USA, 15-20 February 2014.
[9]
Tsopelakos, A., Vlachos, K., and Papadopoulos, E., “Design of a Linear Model Predictive Controller for an Overactuated Triangular Floating Platform,” Proc. 2014 IEEE Multi-conference on Systems and Control (MSC'14), October 8-10, 2014, Antibes, France.
[10]
Vlachos, K., and Papadopoulos, E., “Design and Experimental Validation of a Hybrid Micro Tele-Manipulation System,” Proc. 8th Hellenic Conference on AI (SETN 2014), Ioannina, Greece, May 15-17, also in Artificial Intelligence: Methods and Applications, ser. Lecture Notes in Computer Science, A. Likas, K. Blekas, and D. Kalles, Eds., vol. 8445. Springer, 2014, pp. 164–177.
 

2013

Journal Publications
[1]
Vartholomeos, P., Vlachos, K., Papadopoulos, E., "Analysis and Motion Control of a Centrifugal-Force Microrobotic Platform", Automation Science and Engineering, IEEE Transactions on, vol.10, no.3, pp. 545-553, July 2013.
[2]
K. Blekas and A. Likas. "Sparse regression mixture modeling with the multi-kernel relevance vector machine", Knowledge and Information Systems, ISSN=0219-1377, pp. 1-24, 2013
[3]
S. Karavarsamis, N. Ntarmos, K. Blekas  and I. Pitas, "Detecting pornographic images by localizing skin ROIs", International Journal of Digital Crime and Forensics, 5 (1), pp. 39-53, 2013.
[4]
V. Oikonomou and K. Blekas. "An adaptive regression mixture model for fMRI cluster analysis", IEEE Transactions on Medical Imaging, vol. 32 (4), pp.649-659, 2013.
[5]
G. Rigas, C. Nikou, Y. Goletsis and D. I. Fotiadis. "Hierarchical similarity transformations between Gaussian mixtures". IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, No 11, pp. 1824-1835, 2013.
[6]
M. Vrigkas, C. Nikou and L. P. Kondi. "Accurate image registration for MAP image super-resolution". Signal Processing: Image Communication, Vol. 28, No 5, pp.494-508, 2013.
[7]
K. Blekas and I. Lagaris. A spectral clustering approach based on Newton’s equations of motion. International Journal of Intelligent Systems, vol 28 (4), pp. 394–410, 2013.
[8]
K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Geometric Bargaining Approach for Optimizing Resource Allocation in Wireless Visual Sensor Networks”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 23, No. 8, August 2013, pp. 1388-1401.
 
Conference Publications
[1]
Spartali, I., Vlachos, K., and Papadopoulos, E., “Speed Control of Vibration Micro-motors of a Micro-Robotic Platform,” Proc. IEEE 21st Mediterranean Conference on Control and Automation (MED'13), June 25-28, 2013, Chania, Crete, Greece.
[2]
V. Oikonomou, K. Blekas and L. Astrakas. "Resting State fMRI analysis using a spatial regression mixture model". BIBE 2013, Chania, Greece, Nov. 2013
[3]
N. Tziortziotis, C. Dimitrakakis and K. Blekas. "Linear Bayesian Reinforcement Learning". International Joint Conference on Artificial Intelligence IJCAI 2013
[4]
D. Gerogiannis and C. Nikou. "Tex-Lex: Automated generation of texture lexicons using images from the World Wide Web". International Conference on Digital Signal Processing (DSP’13), 1-3 July 2013, Santorini, Greece.
[5]
M. Vrigkas, V. Karavasilis, C. Nikou and I. Kakadiaris. "Action recognition by matching clustered trajectories of motion vectors". 8th International Conference on Computer Vision Theory and Applications (VISAPP’13), pp. 112-117, 21-24 February 2013, Barcelona, Spain.
[6]
A. V. Katsenou, L. P. Kondi, E. Papapetrou, “Distortion-Aware Joint Scheduling and Resource Allocation for Wireless Video Transmission”, in Proc. European Signal Processing Conference, Marrakech, Morocco, September 2013.
[7]
I. Papadopoulos, N. Papanikos, E. Papapetrou, L. P. Kondi, “Network-wide MD and Network Coding for Heterogeneous Video Multicast”, in Proc. International Symposium on Personal Indoor and Mobile Radio Communications, London, UK, September 2013.
[8]
A. V. Katsenou, E. G. Datsika, L. P. Kondi, E. Papapetrou, K. E. Parsopoulos, “Power–Aware QoS Enhancement in Multihop DS–CDMA Visual Sensor Networks”, in Proc.International Conference on Digital Signal Processing, Santorini, Greece, July 2013.
[9]
K. Pandremmenou, N. Tziortziotis, L. P. Kondi, K. Blekas, “Resource Allocation in Visual Sensor Networks Using a Reinforcement Learning Framework”, in Proc.International Conference on Digital Signal Processing, Santorini, Greece, July 2013.
[10]
 A. Mairgiotis, L. P. Kondi, Y. Yang, “Locally optimum detection for additive watermarking in the DCT and DWT domains through non-Gaussian distributions”, in Proc.International Conference on Digital Signal Processing, Santorini, Greece, July 2013.
[11]
K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Fairness Issues in Resource Allocation Schemes for Wireless Visual Sensor Networks”, in Proc. Visual Information Processing and Communication IV, edited by Amir Said, Onur G. Guleryuz, Robert L. Stevenson, Proceedings of SPIE-IS&T Electronic Imaging, San Francisco, CA, February 2013.
[12]
O. O. Odejide, E. S. Bentley, L. P. Kondi, J. D. Matyjas, “Resource Management in Visual Sensor Networks Using Nash Bargaining Solution in Generalized Fading”, in Proc. IEEE Consumer Communications and Networking Conference, Las Vegas, NV, January 2013.
 
Book Chapters
[1]
Mining Clinical Data, A. Kalogeratos, V. Chasanis, G. Rakocevic, A. Likas, Z. Babovic, M. Novakovic,  Book: Computational Medicine in Data Mining and Modeling, Eds. G. Rakocevic et al., pp. 1-34, 2013.
[2]
M. Plissiti and C. Nikou. A review of automated techniques for cervical cell image analysis and classification. InBiomedical Imaging and Computational Models in Biomechanics. Editors: D. Iacoviello and U. Andreaus. Lecture Notes in Computational Vision and Biomechanics, Vol.4, pp. 1-18, Springer 2013. ISBN 978-9400742697.
 

2012

Journal Publications
[1]
D. Gerogiannis, C. Nikou and A. Likas, "Registering sets of points using Bayesian regression Neurocomputing, vol. 89, pp. 122-133, 2012.
[2]
A. Kalogeratos and A. Likas, "Text Document Clustering using Global Term Context Vectors", Knowledge and Information Systems, vol. 31, pp. 455-474, 2012.
[3]
E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos, “Shape Error Concealment Based on a Shape-Preserving Boundary Approximation”, IEEE Transactions on Image Processing,Vol. 21, No. 8, August 2012, pp. 3573-3585.
[4]
M. Plissiti and C. Nikou. Overlapping cell nuclei segmentation using a spatially adaptive active physical model. IEEE Transactions on Image Processing, Vol. 21, No 11, pp. 4568-4580, 2012.
[5]
V. Karavasilis, K. Blekas and C. Nikou. A novel framework for motion segmentation and tracking by clustering incomplete trajectories. Computer Vision and Image Understanding, Vol. 116, No 11, pp. 1135-1148, 2012.
[6]
D. Gerogiannis, C. Nikou and A. Likas. Registering sets of points using Bayesian regression.Neurocomputing, Vol. 89, pp.122-133, 2012.
[7]
T. Athanasiadis, I. Fudos, C. Nikou and V. Stamati. Feature-based 3D morphing based on geometrically constrained spherical parameterization. Computer Aided Geometric Design, Vol. 29, No 1, pp. 2-17, 2012. 
[8]
Tripoliti, E.E.; Fotiadis, D.I.; Manis, G., "Automated Diagnosis of Diseases Based on Classification: Dynamic Determination of the Number of Trees in Random Forests Algorithm," Information Technology in Biomedicine, IEEE Transactions on , vol.16, no.4, pp.615,622, July 2012
[9]
V.P. Oikonomou, K. Blekas and L. Astrakas. "A sparse and spatially constrained generative regression model for fMRI data analysis",IEEE Trans. on Biomedical Engineering, vol. 59 (1), pp. 58-67, 2012.
 
Conference Publications
[1]
Dimitris Saougkos and George Manis, ‘‘A parallelizing compiler for the microgrid: Exploiting concurrency from software continuity,’’ in the AppleCore Project Workshop: Making Multi-cores Mainstream, organized during High Performance Embedded Applications and Compilers (HiPEAC), Paris, France, 2012.
[2]
G. Tzortzis and A. Likas, "Kernel-based Weighted Multi-view Clustering", Proc IEEE Int. Conf. Data Mining (ICDM’12), Brussels, 2012.
[3]
K. Blekas and A. Likas, "The mixture of multi-kernel relevance vector machines model", Proc IEEE Int. Conf. Data Mining (ICDM’12), Brussels, 2012.
[4]
A. Kalogeratos and A. Likas, "Dip-means: an incremental clustering method for estimating the number of clusters", Proc. Neural Information Processing Systems (NIPS’12),Lake Tahoe, Nevada, USA, 2012.
[5]
G. Piperagkas, G. Georgoulas, K. Parsopoulos, C. Stylios and A. Likas, "Integrating Particle Swarm Optimization with Reinforcement Learning in Noisy Problems", Proc. Genetic and Evolutionary Computation Conference (GECCO’12), Philadelphia, USA, 2012.
[6]
G. Tzortzis and A. Likas, "Greedy Unsupervised Multiple Kernel Learning", Proc. Hellenic Conference on Artificial Intelligence (SETN'12), pp. 73-80, Lamia, Greece, Springer 2012.
[7]
M. Plissiti and C. Nikou. "On the importance of nucleus features in the classification of Pap smear images". International Workshop on Pattern Recognition for Healthcare analytics. In conjunction with ICPR'12, 11-15 November, Tsukuba, Japan.
[8]
D. Gerogiannis, C. Nikou and A. Likas. "Fast and efficient vanishing point detection in indoor images". International Conference on Pattern Recognition (ICPR’12), pp. 3244-3247, 11-15 November 2012, Tsukuba, Japan.
[9]
T. Gkamas, G. Chantas and C. Nikou. "A probabilistic formulation of the optical flow problem". International Conference on Pattern Recognition (ICPR’12), pp. 754-757, 11-15 November 2012, Tsukuba, Japan. 
[10]
 V. Karavasilis, C. Nikou and A. Likas. "Visual tracking by weighted likelihood maximization". 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI‘12), pp. 246-252, 7-9 November, 2012, Athens, Greece.
[11]
M. Vrigkas, C. Nikou and L. Kondi. "A fully robust framework for MAP image super-resolution". IEEE International Conference on Image Processing (ICIP’12), pp. 2225-2228, 30 September-3 October 2012, Orlando, Florida, USA.
[12]
V. Karavassilis, C. Nikou and A. Likas. "Gaussian mixture-based mean shift for tracking under abrupt illumination changes". International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP’12), pp. 510-513, 18-20 July 2012, Piraeus, Greece.
[13]
M. Plissiti and C. Nikou. "Cervical cell classification based exclusively on nucleus features". International Conference on Image Analysis and Recognition (ICIAR’12), Lecture Notes in Computer Science, Vol. 7325, pp. 483-490, 25-27 June 2012, Aveiro, Portugal.
[14]
N. Tziortziotis and K. Blekas. "Model-based Reinforcement learning using online clustering".  IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2012, pp. 712-718, Greece. 2012
[15]
N. Tziortziotis and K. Blekas. "An online kernel-based clustering approach for value function approximation".7th Hell. Conf. on Artificial Intelligence, (SETN 2012), LNAI 7297, pp. 182-189, Greece, 2012
[16]
E. G. Datsika, A. V. Katsenou, L. P. Kondi, E. Papapetrou, K. E. Parsopoulos, “Priority-Based Cross-Layer Optimization for Multihop DS-CDMA Visual Sensor Networks”, in Proc. IEEE International Conference on Image Processing, Orlando, FL, September-October 2012.
[17]
A. V. Katsenou, L. P. Kondi, K. E. Parsopoulos, E. S. Bentley, “Quality-Driven Power Control and Resource Allocation in Wireless Multi-Rate Visual Sensor Networks”, in Proc. IEEE International Conference on Image Processing, Orlando, FL, September-October 2012.
[18]
E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos, “Use of Tight Frames for Optimized Compressed Sensing”, European Signal Processing Conference, Bucharest, Romania, August 2012.
[19]
A. V. Katsenou, L. P. Kondi, K. E. Parsopoulos, “On the Use of Clustering for Resource Allocation in Wireless Visual Sensor Networks”, in Proc. Visual Information Processing and Communication III, edited by Amir Said, Onur G. Guleryuz, Robert L. Stevenson, Proceedings of SPIE-IS&T Electronic Imaging, San Francisco, CA, January 2012.
[20]
K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Kalai-Smorodinsky Bargaining Solution for Optimal Resource Allocation over Wireless DS-CDMA Visual Sensor Networks, in Proc. Visual Information Processing and Communication III, edited by Amir Said, Onur G. Guleryuz, Robert L. Stevenson, Proceedings of SPIE-IS&T Electronic Imaging, San Francisco, CA, January 2012.
 

2011

Journal Publications
[1]
G. Sfikas, C. Heinrich, J. Zallat, C. Nikou and N. Galatsanos. "Recovery of polarimetric Stokes images by spatial mixture models". Journal of the Optical Society of America-A, Vol. 28, No 3, pp. 465-474, 2011.
[2]
M. Plissiti, C. Nikou and A. Charchanti. "Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images". Pattern Recognition Letters, Vol. 32, No 6, pp. 838-853, 2011.
[3]
V. Karavasilis, C. Nikou and A. Likas. "Visual tracking using the earth mover’s distance between Gaussian mixtures and Kalman filtering". Image and Vision Computing, Vol. 29, No 5, pp. 295-305, 2011.
[4]
M. Plissiti, C. Nikou and A. Charchanti. "Automated detection of cell nuclei in Pap smear images using morphological reconstruction and clustering". IEEE Transactions on Information Technology in Biomedicine, Vol. 15, No 2, pp. 233-241, 2011.
[5]
E. S. Bentley, L. P. Kondi, J. D. Matyjas, M. J. Medley, B. W. Suter, “Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design”, IEEE Transactions on Multimedia, Vol. 13, No. 1, February 2011, pp-125-131.
[6]
L. Astrakas, K. Blekas, C. Constantinou, O.C. Andronesi, M. Mindrinos, A. Likas, L. Rahme, P.M. Black, K. Marcus and A. Tzika., "Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone", Int. Jοurnal of Oncology, vol. 38, no. 4, pp. 1113-1127, 2011.
[7]
A. Kalogeratos and A. Likas, "Document Clustering using Synthetic Cluster Prototypes", Data and Knowledge Engineering, vol. 70, no. 3, pp. 284-306, 2011.
[8]
A. Marakakis, G. Siolas, N. Galatsanos, A. Likas and A. Stafylopatis, "A Relevance Feedback Approach for Image Retrieval Combining Support Vector Machines and Adapted Gaussian Mixture Models", IET Image Processing, vol. 5, no. 6, pp. 531-540, 2011.
 
Conference Publications
[1]
A. Mairgiotis, Y. Yang, L. P. Kondi, “DWT-based Additive Image Watermarking Using the Student-t Prior”, IEEE International Workshop on Imformation Forensics and Security, Foz do Iguacu, brazil November-December 2011.
[2]
A. V. Katsenou, L. P. Kondi, K. E. Parsopoulos, “Resource Management for Wireless Visual Sensor Networks Based on Individual Video Characteristics”, in Proc. IEEE International Conference on Image Processing, Brussels, Belgium, September 2011.
[3]
M. Vrigkas, C. Nikou, L. P. Kondi, “On the Improvement of Image Registration for High-Accuracy Super-Resolution”, in Proc. IEEE International Conference on Accoustics Speech and Signal Processing, Prague, Czech Republic, May 2011.
[4]
K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Optimal Power Allocation and Joint Source-Channel Coding for Wireless DS-CDMA Visual Sensor Networks Using the Nash Bargaining Solution”, in Proc. IEEE International Conference on Accoustics Speech and Signal Processing, Prague, Czech Republic, May 2011.
[5]
K. Pandremmenou, L. P. Kondi, K. E. Parsopoulos, “Optimal Power Allocation and Joint Source-Channel Coding for Wireless DS-CDMA Visual Sensor Networks”, in Visual Information Processing and Communication II, edited by Amir Said, Onur G. Guleryuz, Robert L. Stevenson, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 7882, Article 788206, San Francisco, CA, January 2011.
[6]
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.
[7]
N. Tziortziotis and K. Blekas. "A Bayesian Reinforcement Learning framework Using Relevant Vector Machines". AAAI 2011, San Francisco, pp. 1820-1821, 2011.
[8]
N. Tziortziotis and K. Blekas. "Value Function Approximation through Sparse Bayesian Modeling", European Workshop on Reinforcement Learning (EWRL 2011), Athens, Lecture notes in Computer Science 7188, pp. 128-139, 2011.
[9]
S. Karavarsamis, N. Ntarmos and K. Blekas. "InFeRno - an Intelligent Framework for Recognizing Pornographic Web Pages". Proceedings of the ECML PKDD 2011, Athens, pp. 638-641, 2011.
[10]
[11]
D. Gerogiannis, C. Nikou and A. Likas. "A split-and-merge framework for 2D shape summarization". 7th International Symposium on Image and Signal Processing and Analysis (ISPA‘11), pp. 206-2011, 4-6 September 2011, Dubrovnik, Croatia.
[12]
V. Karavasilis, K. Blekas and C. Nikou. "Motion segmentation by model-based clustering of incomplete trajectories". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML - PKDD’11). Lecture Notes in Artificial Intelligence, Vol. 2, pp.146-161, 5-9 September 2011, Athens, Greece. 
[13]
M. Plissiti and C. Nikou. "Cell nuclei segmentation by learning a physically based deformable model". 17th International Conference on Digital Signal Processing (DSP’11), 6-8 July 2011, Corfu, Greece.
[14]
T. Gkamas and C. Nikou. "Guiding optical flow estimation using superpixels". 17th International Conference on Digital Signal Processing (DSP’11), 6-8 July 2011, Corfu, Greece.
[15]
G. Sfikas, C. Nikou, N. Galatsanos and C. Heinrich. "Majorization-minimization mixture model determination in image segmentation". IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’11), pp. 2169-2176, 20-25 June 2011, Colorado Springs, Colorado, USA.
[16]
M. Vrigkas, C. Nikou and L. P. Kondi. "On the improvement of image registration for high accuracy super-resolution". IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’11), pp. 981-984, 22-27 May 2011, Prague, Czech Republic.
 

2010

Journal Publications
[1]
P. Karvelis, A. Likas and D. Fotiadis, "Identifying touching and overlapping chromosomes using the watershed transform and gradient paths", Pattern Recognition Letters, vol. 31, pp. 2474–2488, 2010.
[2]
G. Tzortzis and A. Likas, "Multiple View Clustering Using a Weighted Combination of Exemplar-based Mixture Models", IEEE Trans on Neural Networks, vol. 21, no. 12, pp. 1925-1938, 2010.
[3]
C. Nikou, A. Likas and N. Galatsanos, "A Bayesian framework for image segmentation with spatially varying mixtures", IEEE Transactions on Image Processing, vol. 19, no. 9, pp. 2278-2289, 2010.
[4]
Evanthia Tripoliti, Dimitrios Fotiadis, Maria Argyropoulou, and George Manis, ‘‘A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI data,’’ Journal of Biomedical Informatics, vol. 43, no. 2, pp. 307–320, Apr. 2010.
[5]
G. Sfikas, C. Nikou, N. Galatsanos and C. Heinrich. "Spatially varying mixtures incorporating line processes for image segmentation". Journal of Mathematical Imaging and Vision, Vol. 36, No 2, pp. 91-110, 2010. 
 
Conference Publications
[1]
M. Plissiti, C. Nikou and A. Charchanti. "Watershed-based segmentation of cell nuclei boundaries in Pap smear images". Proceedings of the 10th IEEE International Conference on Information Technology Applications in Biomedicine (ITAB’10), 3-5 November 2010, Corfu, Greece.
[2]
G. Sfikas, C. Heinrich and C. Nikou.  "Multiple atlas inference and population analysis with spectral clustering". Proceedings of the 20th International Conference on Pattern Recognition (ICPR’10), pp. 2500-2503, 23-26 August 2010, Istanbul, Turkey.
[3]
V. Karavasilis, C. Nikou and A. Likas. "Visual tracking by adaptive Kalman filtering and mean shift". Proceedings of the 6th Hellenic Conference on Artificial Intelligence (SETN’10), Lecture Notes in Artificial Intelligence, Vol. 6040, pp. 153-162, 4-7 May 2010, Athens, Greece.
[4]
T. Athanasiadis, I. Fudos, C. Nikou and V. Stamati. "Feature-based 3D morphing based on geometrically constrained sphere mapping optimization". Proceedings of the 25th ACM Symposium on Applied Computing (SAC’10), 22-26 March 2010, Sierre, Switzerland.
[5]
M. Plissiti, C. Nikou and A. Charchanti. "Accurate localization of cell nuclei in Pap smear images using gradient vector flow deformable models". Proceedings of the 3rd International Conference on Bio-inspired Signals and Systems (BIOSIGNALS’10), pp. 284-289, 20-23 January 2010, Valencia, Spain.
[6]
V.P. Oikonomou and K. Blekas. "A sparse spatial linear regression model for fMRI data analysis".  6th Hellenic Conference in Artificial Intelligence (SETN-2010) Athens. Lecture Notes in Artificial Intelligence 6040, pp. 203-212, 2010.
[7]
M. Bansal,. M. Jubran, L. P. Kondi, “Scalable H.264 Wireless Video Transmission over MIMO-OFDM Channels”, in Proc. Advanced Concepts for Intelligent Vision Systems, Part II, LNCS 6475, pp. 34-45, Sydney, Australia, December 2010.
[8]
E. Tsiligianni, L. P. Kondi, A. K. Katsaggelos, “Shape Error Concealment Based on a Shape-Preserving Boundary Approximation”, in Proc. IEEE International Conference on Image Processing, Hong Kong, September 2010, pp-457-460.
[9]
L. P. Kondi, E. S. Bentley, “Game-Theory-Based Cross-Layer Optimization for Wireless DS-CDMA Visual Sensor Networks”, in Proc. IEEE International Conference on Image Processing, Hong Kong, September 2010, pp. 4485-4488.
[10]
 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.
[11]
Vlachos, K., and Papadopoulos, E., “Control Design and Allocation of an Over-Actuated Triangular Floating Platform,” Proc. 2010 IEEE International Conference on Robotics and Automation (ICRA’10), Anchorage, Alaska, May 3-8, 2010, pp. 3739-3744.
[12]
Evanthia Tripoliti, Dimitrios Fotiadis, and George Manis, ‘‘Dynamic construction of Random Forests: Evaluation using biomedical engineering problems,’’ in Proc. of 10th IEEE International Conference on Information Technology and Applications in Biomedicine, Corfu, Greece, 2010
[13]
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.
 

2009

Journal Publications
[1]
O.C. Andronesi, K. Blekas, D. Mitzopoulos, L. Astrakas, P.M. Black and A. Tzika. "Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiers" ,Intern. Journal on Oncology, 33(5), pp.1017-1025, 2009.
[2]
D. Gerogiannis, C. Nikou and A. Likas. "The mixtures of Student’s t-distributions as a robust framework for rigid registration". Image and Vision Computing, Vol. 27, No 9, pp. 1285-1294, 2009.
[3]
A. Kampouraki, G. Manis and C. Nikou. "Heartbeat time series classification with support vector machines". IEEE Transactions on Information Technology in Biomedicine. Vol. 13, No 4, pp. 512-518, 2009. 
[4]
M. K. Jubran, M. Bansal, L. P. Kondi, R. Grover, “Accurate Distortion Estimation and Optimal Bandwidth Allocation for Scalable H.264 Video Transmission over MIMO Systems”, IEEE Transactions on Image Processing, Vol. 18, No. 1, January 2009, pp. 106-116.
[5]
G. Tzortzis and A. Likas, "The Global Kernel k-Means Clustering Algorithm", IEEE Trans on Neural Networks, vol. 20, no. 7, pp. 1181-1194, 2009.
[6]
D. Tzikas, A. Likas and N. Galatsanos, "Sparse Bayesian Modeling with Adaptive Kernel Learning", IEEE Trans. Neural Networks, vol. 20, no. 6, pp. 926-937, 2009.
[7]
V. Chassanis, A. Likas and N. Galatsanos, "Scene Detection in Videos Using Shot Clustering and Sequence Alignment", IEEE Trans. on Multimedia, vol. 11, no. 1, pp. 89-100, 2009.
[8]
D. Tzikas, A. Likas and N. Galatsanos, "Variational Bayesian sparse kernel-based blind image deconvolution with student's-t priors", IEEE Trans. on Image Processing, vol. 18, no. 4, 2009, pp. 753-764, 2009.
[9]
A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "Probabilistic Relevance Feddback Approach for Content-based Image Retrieval Based on Gaussian Mixture Models", IET Image Processing, vol. 3, no. 1, pp. 10-25, 2009.
[10]
 V. Chassanis, A. Likas and N. Galatsanos, "Simultaneous Detection of Abrupt Cuts and Dissolves in Videos Using Support Vector Machines", Pattern Recognition Letters, vol. 30, no. 1, pp. 55-65, 2009.
 
Books
[1]
H. Wang, L. P. Kondi, A. Luthra, S. Ci, 4G Wireless Video Communications, John Wiley and Sons, Ltd, 2009.
 
Conference Publications
[1]
K. Blekas, K. Christodoulidou, I.E. Lagaris. Newtonian Spectral Clustering. Inter. Conf. on Artificial. Neural Networks (ICANN 2009) Lecture Notes in Computer Science 5769 LNCS , pp. 145-154  , 2009.
[2]
G. Sfikas, C. Heinrich, J. Zallat, C. Nikou and N. Galatsanos. "Joint recovery and segmentation of polarimetric images using a compound MRF and mixture modeling". In Proceedings of the IEEE International Conference on Image Processing (ICIP’09), pp. 3901-3904, 7-11 November 2009, Cairo, Egypt.
[3]
G. Sfikas, C. Nikou, C. Heinrich and N. Galatsanos. "On the optimization of probability vector MRFs in image segmentation". Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP‘09), 2-4 September 2009, Grenoble, France.
[4]
E.S. Bentley, J. D. Matyjas, M. J. Medley, L. P. Kondi, "Wireless Visual Sensor Network Resource Allocation Using Cross-Layer Optimization", in Visual Communications and Image Processing 2009, edited by Majid Rabbani, Robert L. Stevenson, Proceedings of SPIE-IS&T Electronic Imaging, SPIE Vol. 7257, Article 72570G (2009).
[5]
A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval", in Proc. Artificial Inteligence. Applications and Innovations (AIIA’09), Springer, 2009.
[6]
G. Tzortzis and A. Likas, "Convex Mixture Models for Multi-view Clustering",  in Proc. Int. Conf. on Artificial Neural Networks (ICANN’09), Limassol, Cyprus, Springer, 2009.
[7]
A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection", in Proc. Int. Conf. on Artificial Neural Networks (ICANN’09), Limassol, Cyprus, Springer, 2009.
[8]
D. Tzikas, A. Likas, and N. Galatsanos, "Local Feature Selection for the Relevance Vector Machine using Adaptive Kernel Learning", in Proc. Int. Conf. on Artificial Neural Networks (ICANN’09), Limassol, Cyprus, Springer, 2009.
[9]
V. Chasanis, A. Likas and N. Galatsanos, "Movie Segmentation into Scenes and Chapters Using Locally Weighted Bag of Visual Words", in   Proc. ACM International Conference on Image and Video Retrieval (CIVR’09), Santorini, Greece, July 2009.
[10]
 Dimitris Saougkos, Despina Evgenidou, and George Manis, ‘‘Specifying loop transformations for C2µTC source to source compiler,’’ in Proc. of Compilers for Parallel Computing, Zurich, Switzerland, 2009
 

2008

Journal Publications
[1]
Papadopoulos, E., Tsamis, A., and Vlachos, K., “Development of a Real-time Visual and Force Environment for a Haptic Medical Training Simulator,” Artificial Life and Robotics, Vol. 12, No. 1-2, March 2008, pp. 307-316.
[2]
K. Blekas, C. Nikou, N. Galatsanos and N.V. Tsekos. "A regression mixture model with spatial constraints for clustering spatiotemporal data", Intern. Journal on Artificial Intelligence Tools , 17(5), pp.1023-1041, 2008.
[3]
M. K. Jubran, M. Bansal, L. P. Kondi, “Low-Delay Low Complexity Bandwidth-Constrained Wireless Video Transmission Using SVC over MIMO Systems”, IEEE Transactions on Multimedia, Vol. 10, No. 8, December 2008, pp. 1698-1707.
[4]
D. Tzikas, A. Likas and A. Galatsanos, "The Variational approximation for Bayesian inference", IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 131-146, 2008.
[5]
G. Chantas N. Galatsanos, A. Likas and M. Saunders, "Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior", IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1795-1805, 2008.
[6]
 C. Constantinopoulos and A. Likas, "Semi-supervised and Active Learning with the Probabilistic RBF Classifier", Neurocomputing, vol. 71, no. 13-15, pp. 2489-2498, 2008.
 
Conference Publications
[1]
Repoulias, F., Vlachos, K., and Papadopoulos, E., “Modeling and Control of a Triangular Floating Platform Driven by Rotating Jets,” Proc. IEEE 16th Mediterranean Conference on Control and Automation (MED'08), June 25-27, 2008, Ajaccio, France, pp. 487-492.
[2]
George Manis, Stavros Nikolopoulos, Konstantinos Papadimitriou, and Konstantinos Karamanos, ‘‘Long term correlations of heart rate timeseries,’’ in Proc. of 19th Biennial International EURASIP Conference (BIOSIGNAL), Brno, Chech Republic, 2008
[3]
Chasanis, V., Likas, A., and  Galatsanos, N., "Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach", Proc. International Conference on Artificial Neural Networks  (ICANN '08) , Part I, pp. 847-856, Berlin, Heidelberg, 2008. Springer-Verlag
[4]
Chasanis, V., Likas, A., and  Galatsanos, N., " A Support Vector Machine Approach for VideoShot Detection", in Proc. of 1st International Symposium on Intelligent Interactive Multimedia Systems and Services, Piraeus, (IIMSS 2008).
[5]
Chasanis, V., Likas, A., and  Galatsanos, N., " Video Rushes Summarization Using Spectral Clustering and Sequence Alignment", Proc. of the 2nd ACM TRECVid Video Summarization Workshop, Vancouver, British Columbia, Canada, pp. 1-20, Oct. 2008.
[6]
A. Marakakis, N. Galatsanos, A. Likas and A. Stafylopatis, "Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models", in Proc. Int. Conf. on Tools with AI (ICTAI’08), vol. 1, pp. 141-148, Dayton, Ohio, 2008.
[7]
D. Tzikas, A. Likas, and N. Galatsanos, "Incremental relevance vector machine with kernel learning", in Proc. Hellenic Conference on Artificial Intelligence (SETN'08), pp. 301-312, Syros, Greece, Springer 2008.
[8]
K. Blekas, N. Galatsanos and A. Likas, "A Sparse Regression Mixture Model for Clustering Time-Series", in Proc. Hellenic Conference on Artificial Intelligence (SETN'08), pp. 64-72, Syros, Greece, Springer 2008.
[9]
A. Alivanoglou and A. Likas, "Probabilistic Models Based on the Pi-Sigmoid Distribution", in Proc. 3rd IAPR Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR’08), pp. 36-43, Paris, Springer 2008.
[10]
 G. Tzortzis and A. Likas, "The Global Kernel K-means Clustering Algorithm", in Proc. Int. Joint Conf. on Neural Networks (IJCNN’08), pp. 1977-1984, Hong, Kong, June 2008.
[11]
S. K. Bandyopadhyay, S. Prasad D. G., L. P. Kondi, “Cross-Layer Optimization for H.264/AVC Video Transmission Over Space-Frequency (SF) Coded MIMO-OFDM Systems”, in Proc. IEEE IWCMC’08 Multimedia over Wireless Symposium, Limin Hersonissou, Crete, Greece, August 2008.
[12]
S. K. Bandyopadhyay, S. Prasad D.G., L. P. Kondi, “Joint Optimal Pilot Placement and Space Frequency (SF) Code Design for MIMO-OFDM Systems”, in Proc. IEEE IWCMC’08 General Symposium, Limin Hersonissou, Crete, Greece, August 2008.
[13]
M. K. Jubran, M. Bansal, L. P. Kondi, “Scalable H.264 Wireless Video Transmission Using Quasi-Orthogonal Space-Time Block Codes”, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, April 2008.
[14]
G. Sfikas, C. Nikou, N. Galatsanos and C. Heinrich. "MR brain tissue classification using an edge preserving Bayesian mixture model". Proceedings of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’08), pp. 43-50, 6-10 September 2008, New York, USA.
[15]
G. Sfikas, C. Nikou and N. Galatsanos. "Edge-preserving spatially varying mixtures for image segmentation". Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’08), 23-28 June 2008, Anchorage, Alaska, USA. Oral presentation (top 3% papers).
[16]
E. Fotiou, C. Nikou and N. Galatsanos. "A spatially adaptive hierarchical stochastic model for non-rigid image registration". Proceedings of the 16th European Signal Processing Conference (EUSIPCO’08), 25-29 April, Lausanne, Switzerland.
[17]
E. Voudigari and K. Blekas. "A marginal mixture model for discovering motifs in sequences". Workshop on Bioinformatics, Genomics and Proteomics on Artificial Intelligence Approach, ECAI 2008.