[J39] G.A. Papakostas, K.I. Diamantaras and T. Papadimitriou, “Parallel Pattern Classification Utilizing GPU-Based Kernelized Slackmin Algorithm”, Journal of Parallel and Distributed Computing, vol. 99, pp. 90-99, 2017.

[J38] Kanakaris, G.A. Papakostas and D. Bandekas, “Impact Analysis of Video Traffic over Wireless Visual Sensor Networks under Mannasim Framework”, International Journal of Engineering and Technology, vol. 8, no. 5, pp. 2318-2331, 2016.

[J37] G.A. Papakostas, E.D. Tsougenis and D.E. Koulouriotis, “Fuzzy Knowledge-based Adaptive Image Watermarking by the Method of Moments”, Complex & Intelligent Systems, vol. 2, no. 3, pp. 205-220, 2016.

[J36] A.G. Hatzimichailidis, G.A. Papakostas and V.G. Kaburlasos, “A Distance Measure based on Fuzzy D-implications: Application in Pattern Recognition”, British Journal Of Mathematics & Computer Science, vol. 14, no. 3, pp. 1-14, 2016.

[J35] V. Kanakaris, D. Ndzi and G.A. Papakostas, “Sensitivity Analysis of AODV Protocol Regarding Forwarding Probability”, Optik – International Journal for Light and Electron Optics, vol. 127, no. 3, pp. 1016-1021, 2016.

[J34] G.A. Papakostas, J.W. Nolan, N. Vordos, D. Gkika, M.E. Kainourgiakis and A.C. Mitropoulos, “On 3D Reconstruction of Porous Media by Using Spatial Correlation Functions”, Journal of Engineering Science and Technology Review, vol. 8, no. 4, pp. 78-83, 2015.

[J33] V.G. Kaburlasos and G.A. Papakostas, “Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning (FLR) in Pattern Recognition Applications”, IEEE Computational Intelligence Magazine, vol.10, no.3, pp. 42-51, 2015.

[J32] E.D. Tsougenis, G.A. Papakostas and D.E. Koulouriotis, “Image Watermarking via Separable Moments”, Multimedia Tools and Applications, vol. 74, no. 11, pp. 3985-4012, 2015.

[J31] G.A. Papakostas, A. Savio, M. Grana and V.G. Kaburlasos, “A Lattice Computing Approach to Alzheimer’s Disease Computer Assisted Diagnosis Based on MRI Data”, Neurocomputing, vol. 150, Part A, pp. 37-42, 2015.

[J30] E.D. Tsougenis, G.A. Papakostas, D.E. Koulouriotis and E.G. Karakasis, “Adaptive Color Image Watermarking by the use of Quaternion Image Moments“, Expert Systems With Applications, vol. 41, no. 14, pp. 6408-6418, 2014.

[J29] S.E. Papadakis, V.G. Kaburlasos and G.A. Papakostas, “Two Fuzzy Lattice Reasoning (FLR) Classifiers and Their Application for Human Facial Expression Recognition”, Journal of Multi-Valued Logic and Soft Computing, vol. 22, no. 4-6, pp. 561-579, 2014.

[J28] E.G. Karakasis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants”, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 596-611, 2014.

[J27] G.A. Papakostas, E.D. Tsougenis, D.E. Koulouriotis and V.D. Tourassis, “Moment-based Local Image Watermarking via Genetic Optimization”, Applied Mathematics and Computation, vol. 227, pp.  222-236, 2014.

[J26] V.G. Kaburlasos, S.E. Papadakis and G.A. Papakostas, “Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition”, IEEE Transactions on Neural Networks & Learning Systems, vol. 24, no. 10, pp. 1526-1538, 2013.

[J25] G.A. Papakostas, A.G. Hatzimichailidis  and V.G. Kaburlasos, “Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view”, Pattern Recognition Letters, vol. 34, no. 14, pp. 1609-1622, 2013.

[J24] E.D. Tsougenis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “Towards Adaptivity of Image Watermarking in Polar Harmonic Transforms Domain”, Optics & Laser Technology, vol. 54, pp. 84-97, 2013.

[J23] E.G. Karakasis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “Generalized Dual Hahn Moment Invariants”, Pattern Recognition, vol. 46, no. 7, pp. 1998-2014, 2013.

[J22] G.A. Papakostas, E.G. Karakasis, D.E. Koulouriotis and V.D. Tourassis, “Moment-Based Local Binary Patterns: A Novel Local Descriptor for Invariant Pattern Recognition Applications”, Neurocomputing, vol. 99, pp. 358-371, 2013.

[J21] M.K. Ketipi,D.E. Koulouriotis, E.G. Karakasis, G.A. Papakostas and V.D. Tourassis, “A Flexible Nonlinear Approach for Representing Cause-Effect Relationships in FCMs”, Applied Soft Computing, vol. 12, no. 12, pp. 3757-3770, 2012.

[J20] E.D. Tsougenis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “Performance Evaluation of Moment-Based Watermarking Methods: A Review”, Journal of Systems and Software, vol. 85, no. 8, pp. 1864-1884, 2012.

[J19] G.A. Papakostas, D.E. Koulouriotis, A.S. Polydoros and V.D. Tourassis, “Towards Hebbian Learning of Fuzzy Cognitive Maps in Pattern Classification Problems”, Expert Systems with Applications, vol. 39, no. 12, pp. 10620-10629, 2012.

[J18] A.G. Hatzimichailidis,G.A. Papakostas and V.G. Kaburlasos, “A Novel Distance Measure of Intuitionistic Fuzzy Sets and its Application to Pattern Recognition Applications”, International Journal of Intelligent Systems,vol. 27, no. 4, pp. 396-409, 2012.

[J17]  G.A. Papakostas, D.A. Karras, B.G. Mertzios, D. van Ormondt and D. Graveron-Demilly, “In vivo MRS Metabolites Quantification Using Evolutionary Optimization”, Measurement Science and Technology, vol. 22, no. 11, 114004 (9pp), 2011.

[J16]  G.A. Papakostas, E.D. Tsougenis, D.E. Koulouriotis and V.D. Tourassis, “On the Robustness of Harris Detector in Image Watermarking Attacks”, Optics Communications, vol. 284, no. 19, pp. 4394-4407, 2011.

[J15]  G.A. Papakostas, D.E. Koulouriotis and E.G. Karakasis, “Computation Strategies of Orthogonal Image Moments: A Comparative Study”, Applied Mathematics and Computation,vol. 216, no. 1, pp. 1-17, 2010.

[J14]  G.A. Papakostas, Y.S. Boutalis, D.A. Karras and B.G. Mertzios, “Efficient Computation of Zernike and Pseudo-Zernike Moments for Pattern Classification Applications”, Pattern Recognition and Image Analysis,vol. 20, no.1, pp. 56-64, 2010.

[J13]  G.A. Papakostas, E.G. Karakasis and D.E. Koulouriotis, “Accurate and Speedy Computation of Image Legendre Moments for Computer Vision Applications”, Image and Vision Computing, vol. 28, no. 3, pp. 414-423, 2010.

[J12]  G.A. Papakostas, E.G. Karakasis and D.E. Koulouriotis, “Novel Moment Invariants for Improved Classification Performance in Computer Vision Applications”, Pattern Recognition, vol. 43, no. 1, pp. 58-68, 2010.

[J11]  G.A. Papakostas, D.E. Koulouriotis and E.G. Karakasis, “A Unified Methodology for Efficient Computation of Discrete Orthogonal Image Moments”, Information Sciences, vol. 179, no. 20, pp. 3619-3633, 2009.

[J10]  G.A. Papakostas, Y.S. Boutalis, D.A. Karras and B.G. Mertzios, “Modified Factorial Free Direct Methods for Zernike and Pseudo-Zernike Moments Computation”, IEEE Trans. on Instrumentation and Measurement, vol. 58, no. 7, pp. 2121-2131, 2009.

[J9]   G.A. Papakostas, Y.S. Boutalis, D.A. Karras and B.G. Mertzios, “Pattern Classification by Using Improved Wavelet Compressed Zernike Moments”, Applied Mathematics and Computation, vol. 212, no. 1, pp. 162-176, 2009.

[J8]   G.A. Papakostas, Y.S. Boutalis, D.E. Koulouriotis and B.G. Mertzios, “Fuzzy Cognitive Maps for Pattern Recognition Applications”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 22, no. 8, pp. 1461-1468, 2008.

[J7]   G.A. Papakostas, E.G. Karakasis and D.E. Koulouriotis, “Efficient and Accurate Computation of Geometric Moments on Gray-Scale Images”, Pattern Recognition, vol. 41, no. 6, pp. 1895-1904, 2008.

[J6]   G.A. Papakostas, Y.S. Boutalis, C.N. Papaodysseus and D.K. Fragoulis, “Numerical Stability of Fast Computation Algorithms of Zernike Moments”, Applied Mathematics and Computation, vol. 195, no. 1, pp. 326-345, 2008.

[J5]   G.A. Papakostas, Y.S. Boutalis, S.T. Samartzidis, D.A. Karras and B.G. Mertzios, “Two-Stage Hybrid Tuning Algorithm for Training Neural Networks in Image Vision Applications”, International Journal of Signal and Imaging Systems Engineering, vol. 1, no. 1, pp. 58-67, 2008.

[J4]   G.A. Papakostas, Y.S. Boutalis, D.A. Karras and B.G. Mertzios, “Fast Numerically Stable Computation of Orthogonal Fourier-Mellin Moments”, IET Computer Vision, vol.1, no. 1, pp. 11-16, 2007.

[J3]   G.A. Papakostas, Y.S. Boutalis, D.A. Karras and B.G. Mertzios, “A New Class of Zernike Moments for Computer Vision Applications”, Information Sciences, vol. 177, no.13, pp. 2802-2819, 2007.

[J2]   G.A. Papakostas, Y.S. Boutalis, C.N. Papaodysseus and D.K. Fragoulis, “Numerical Error Analysis in Zernike Moments Computation”, Image and Vision Computing, vol. 24, no. 9, pp. 960-969, 2006.

[J1]   G.A. Papakostas, D.A. Karras, B.G. Mertzios and Y.S. Boutalis, “An Efficient Feature Extraction Methodology for Computer Vision Applications using Wavelet Compressed Zernike Moments”, ICGST International Journal on Graphics, Vision and Image Processing, Special Issue: Wavelets and Their Applications, vol. SI1, pp. 5-15, 2005.

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