Michael N. Vrahatis

2009
64	EE	Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Improving fuzzy cognitive maps learning through memetic particle swarm optimization. Soft Comput. 13(1): 77-94 (2009)
2008
63	EE	Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis: Fuzzy Evolutionary Probabilistic Neural Networks. ANNPR 2008: 113-124
62	EE	Konstantinos E. Parsopoulos, K. Skouri, Michael N. Vrahatis: Particle Swarm Optimization for Tackling Continuous Review Inventory Models. EvoWorkshops 2008: 103-112
61	EE	Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Non-monotone differential evolution. GECCO 2008: 527-528
60	EE	A. D. Klamargias, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis: Particle filtering with particle swarm optimization in systems with multiplicative noise. GECCO 2008: 57-62
59	EE	Konstantinos E. Parsopoulos, Voula C. Georgopoulos, Michael N. Vrahatis: A technique for the visualization of population-based algorithms. IEEE Congress on Evolutionary Computation 2008: 1694-1701
58	EE	Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2686-2693
57	EE	Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational Intelligence Algorithms and DNA Microarrays. Computational Intelligence in Bioinformatics 2008: 1-31
56	EE	Y. G. Petalas, Chris Antonopoulos, Tassos Bountis, Michael N. Vrahatis: Evolutionary Methods for the Approximation of the Stability Domain and Frequency Optimization of Conservative Maps. I. J. Bifurcation and Chaos 18(8): 2249-2264 (2008)
55	EE	Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis: Novel Approaches to Probabilistic Neural Networks Through Bagging and Evolutionary Estimating of Prior Probabilities. Neural Processing Letters 27(2): 153-162 (2008)
2007
54	EE	Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. IEEE Congress on Evolutionary Computation 2007: 2040-2047
53	EE	Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation 2007: 540-547
52	EE	E. C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis: Cryptography and Cryptanalysis Through Computational Intelligence. Computational Intelligence in Information Assurance and Security 2007: 1-49
51	EE	Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis: Memetic particle swarm optimization. Annals OR 156(1): 99-127 (2007)
50	EE	E. C. Laskari, Gerasimos C. Meletiou, Yannis C. Stamatiou, Michael N. Vrahatis: Applying evolutionary computation methods for the cryptanalysis of Feistel ciphers. Applied Mathematics and Computation 184(1): 63-72 (2007)
49	EE	Nicos G. Pavlidis, Michael N. Vrahatis, P. Mossay: Existence and computation of short-run equilibria in economic geography. Applied Mathematics and Computation 184(1): 93-103 (2007)
48	EE	Todor Ganchev, Dimitris K. Tasoulis, Michael N. Vrahatis, Nikos Fakotakis: Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing 70(7-9): 1424-1438 (2007)
2006
47	EE	Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. AIAI 2006: 484-491
46	EE	Konstantinos E. Parsopoulos, Michael N. Vrahatis: Studying the Performance of Unified Particle Swarm Optimization on the Single Machine Total Weighted Tardiness Problem. Australian Conference on Artificial Intelligence 2006: 760-769
45	EE	Dimitris K. Tasoulis, E. C. Laskari, Gerasimos C. Meletiou, Michael N. Vrahatis: Privacy Preserving Unsupervised Clustering over Vertically Partitioned Data. ICCSA (5) 2006: 635-643
44	EE	Dimitris K. Tasoulis, Dimitrios Zeimpekis, Efstratios Gallopoulos, Michael N. Vrahatis: Oriented k-windows: A PCA driven clustering method. Advances in Web Intelligence and Data Mining 2006: 319-328
43	EE	Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis: Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artificial Intelligence in Medicine 38(3): 291-303 (2006)
42	EE	Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis: Distributed computing methodology for training neural networks in an image-guided diagnostic application. Computer Methods and Programs in Biomedicine 81(3): 228-235 (2006)
41	EE	George D. Magoulas, Michael N. Vrahatis: Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach. I. J. Bifurcation and Chaos 16(7): 1929-1950 (2006)
40	EE	Nicos G. Pavlidis, Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational Intelligence Methods for Financial Time Series Modeling. I. J. Bifurcation and Chaos 16(7): 2053-2062 (2006)
39	EE	Dimitris K. Tasoulis, Michael N. Vrahatis: Unsupervised Clustering Using Fractal Dimension. I. J. Bifurcation and Chaos 16(7): 2073-2079 (2006)
38	EE	Vasileios L. Georgiou, Nicos G. Pavlidis, Konstantinos E. Parsopoulos, Philipos D. Alevizos, Michael N. Vrahatis: New Self-adaptive Probabilistic Neural Networks in Bioinformatic and Medical Tasks. International Journal on Artificial Intelligence Tools 15(3): 371-396 (2006)
37	EE	Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis: Evolutionary training of hardware realizable multilayer perceptrons. Neural Computing and Applications 15(1): 33-40 (2006)
36	EE	Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis: Financial forecasting through unsupervised clustering and neural networks. Operational Research 6(2): 103-127 (2006)
2005
35		Nicos G. Pavlidis, Dimitris K. Tasoulis, Michael N. Vrahatis: Time Series Forecasting Methodology for Multiple-Step-Ahead Prediction. Computational Intelligence 2005: 456-461
34	EE	Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. Congress on Evolutionary Computation 2005: 1847-1854
33	EE	Dimitris K. Tasoulis, Michael N. Vrahatis: The new window density function for efficient evolutionary unsupervised clustering. Congress on Evolutionary Computation 2005: 2388-2394
32	EE	Konstantinos E. Parsopoulos, Michael N. Vrahatis: Unified Particle Swarm Optimization in Dynamic Environments. EvoWorkshops 2005: 590-599
31	EE	Konstantinos E. Parsopoulos, Michael N. Vrahatis: Unified Particle Swarm Optimization for Solving Constrained Engineering Optimization Problems. ICNC (3) 2005: 582-591
30	EE	Ch. Skokos, Konstantinos E. Parsopoulos, P. A. Patsis, Michael N. Vrahatis: Particle Swarm Optimization: An efficient method for tracing periodic orbits in 3D galactic potentials CoRR abs/astro-ph/0502164: (2005)
29	EE	Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Petros P. Groumpos, Michael N. Vrahatis: Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. J. Intell. Inf. Syst. 25(1): 95-121 (2005)
28	EE	Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis: New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing 64: 253-270 (2005)
27	EE	Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis: Sign-based learning schemes for pattern classification. Pattern Recognition Letters 26(12): 1926-1936 (2005)
26	EE	Dimitris K. Tasoulis, Michael N. Vrahatis: Unsupervised clustering on dynamic databases. Pattern Recognition Letters 26(13): 2116-2127 (2005)
25	EE	Dimitris J. Kavvadias, F. S. Makri, Michael N. Vrahatis: Efficiently Computing Many Roots of a Function. SIAM J. Scientific Computing 27(1): 93-107 (2005)
2004
24	EE	Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis: A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. ESANN 2004: 1-6
23	EE	Konstantinos E. Parsopoulos, Elpiniki Papageorgiou, Peter P. Groumpos, Michael N. Vrahatis: Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems. GECCO (1) 2004: 402-413
22	EE	Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis: Online Neural Network Training for Automatic Ischemia Episode Detection. ICAISC 2004: 1062-1068
21	EE	Y. G. Petalas, Dimitris K. Tasoulis, Michael N. Vrahatis: Dynamic Search Trajectory Methods for Neural Network Training. ICAISC 2004: 241-246
20	EE	Elpiniki Papageorgiou, Konstantinos E. Parsopoulos, Peter P. Groumpos, Michael N. Vrahatis: Fuzzy Cognitive Maps Learning through Swarm Intelligence. ICAISC 2004: 344-349
19		Dimitris K. Tasoulis, Michael N. Vrahatis: Unsupervised distributed clustering. Parallel and Distributed Computing and Networks 2004: 347-351
18	EE	George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis: Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Appl. Soft Comput. 4(4): 369-379 (2004)
17		Konstantinos E. Parsopoulos, Michael N. Vrahatis: On the Computation of All Global Minimizers Through Particle Swarm Optimization. IEEE Trans. Evolutionary Computation 8(3): 211-224 (2004)
16	EE	M. G. Karagiannopoulos, Michael N. Vrahatis, Gerasimos C. Meletiou: A note on a secure voting system on a public network. Networks 43(4): 224-225 (2004)
2003
15	EE	Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis: Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES 2003: 199-206
14	EE	Panagiotis Alevizos, Dimitris K. Tasoulis, Michael N. Vrahatis: Parallelizing the Unsupervised k-Windows Clustering Algorithm. PPAM 2003: 225-232
13	EE	Dimitris K. Tasoulis, Panagiotis Alevizos, Basilis Boutsinas, Michael N. Vrahatis: Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm. PaCT 2003: 336-344
2002
12	EE	Panagiotis Alevizos, Basilis Boutsinas, Dimitris K. Tasoulis, Michael N. Vrahatis: Improving the Orthogonal Range Search k -Windows Algorithm. ICTAI 2002: 239-245
11	EE	Konstantinos E. Parsopoulos, Michael N. Vrahatis: Particle swarm optimization method in multiobjective problems. SAC 2002: 603-607
10	EE	Michael N. Vrahatis, Basilis Boutsinas, Panagiotis Alevizos, Georgios Pavlides: The New k-Windows Algorithm for Improving the k-Means Clustering Algorithm. J. Complexity 18(1): 375-391 (2002)
9	EE	Bernard Mourrain, Michael N. Vrahatis, Jean-Claude Yakoubsohn: On the Complexity of Isolating Real Roots and Computing with Certainty the Topological Degree. J. Complexity 18(2): 612-640 (2002)
8		Konstantinos E. Parsopoulos, Michael N. Vrahatis: Recent approaches to global optimization problems through Particle Swarm Optimization. Natural Computing 1(2-3): 235-306 (2002)
7		Vassilis P. Plagianakos, Michael N. Vrahatis: Parallel evolutionary training algorithms for "hardware-friendly" neural networks. Natural Computing 1(2-3): 307-322 (2002)
2001
6	EE	Basilis Boutsinas, Michael N. Vrahatis: Artificial nonmonotonic neural networks. Artif. Intell. 132(1): 1-38 (2001)
2000
5	EE	George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis: Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. IJCNN (1) 2000: 21-26
4	EE	Vassilis P. Plagianakos, Michael N. Vrahatis: Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. IJCNN (5) 2000: 161-166
3		Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos: Globally Convergent Modification of the Quickprop Method. Neural Processing Letters 12(2): 159-170 (2000)
1999
2		George D. Magoulas, Michael N. Vrahatis, George S. Androulakis: Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural Computation 11(7): 1769-1796 (1999)
1997
1	EE	George D. Magoulas, Michael N. Vrahatis, George S. Androulakis: Effective Backpropagation Training with Variable Stepsize. Neural Networks 10(1): 69-82 (1997)

Coauthor Index

1	Panagiotis Alevizos	[10] [12] [13] [14]
2	Philipos D. Alevizos	[38] [55] [60] [63]
3	Aristoklis D. Anastasiadis	[24] [27] [28]
4	George S. Androulakis	[1] [2]
5	Chris Antonopoulos	[56]
6	Anastasios Bezerianos	[22]
7	Tassos Bountis	[56]
8	Basilis Boutsinas	[6] [10] [12] [13]
9	Dionisis Cavouras	[15]
10	Michael G. Epitropakis	[53] [58] [61]
11	Nikos Fakotakis (Nikolaos D. Fakotakis)	[48]
12	Efstratios Gallopoulos	[44]
13	Todor Ganchev	[48]
14	Vasileios L. Georgiou	[38] [55] [63]
15	Voula C. Georgopoulos	[59]
16	Peter P. Groumpos (Petros P. Groumpos)	[20] [23] [29]
17	M. G. Karagiannopoulos	[16]
18	Dimitris J. Kavvadias	[25]
19	A. D. Klamargias	[60]
20	E. C. Laskari	[45] [50] [52]
21	George D. Magoulas	[1] [2] [3] [5] [18] [24] [27] [28] [37] [41] [42]
22	F. S. Makri	[25]
23	Gerasimos C. Meletiou	[16] [45] [50] [52]
24	P. Mossay	[49]
25	Bernard Mourrain	[9]
26	George Nikiforidis	[15] [43]
27	Elpiniki Papageorgiou	[20] [23] [29]
28	Konstantinos E. Parsopoulos	[8] [11] [17] [20] [23] [29] [30] [31] [32] [38] [46] [51] [54] [59] [60] [62] [64]
29	P. A. Patsis	[30]
30	Georgios Pavlides	[10]
31	E. G. Pavlidis	[53]
32	Nicos G. Pavlidis	[15] [35] [36] [38] [40] [43] [49] [53]
33	Y. G. Petalas	[21] [51] [54] [56] [64]
34	Vassilis P. Plagianakos	[3] [4] [5] [7] [18] [22] [34] [36] [37] [40] [42] [43] [47] [53] [57] [58] [61]
35	Panagiota Ravazoula	[15] [43]
36	Ch. Skokos	[30]
37	K. Skouri	[62]
38	Panagiota Spyridonos	[15] [43]
39	Yannis C. Stamatiou	[50] [52]
40	Chrysostomos D. Stylios	[29]
41	Dimitris K. Tasoulis	[12] [13] [14] [15] [19] [21] [22] [26] [33] [34] [35] [36] [39] [40] [43] [44] [45] [47] [48] [57]
42	Liviu Vladutu	[22]
43	Jean-Claude Yakoubsohn	[9]
44	Dimitrios Zeimpekis	[44]

Colors in the list of coauthors