Vassilis P. Plagianakos

2008
17	EE	Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis: Non-monotone differential evolution. GECCO 2008: 527-528
16	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
15	EE	Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis: Computational Intelligence Algorithms and DNA Microarrays. Computational Intelligence in Bioinformatics 2008: 1-31
2007
14	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
2006
13	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
12	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)
11	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)
10	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)
9	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)
8	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
7	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
2004
6	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
5	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)
2002
4		Vassilis P. Plagianakos, Michael N. Vrahatis: Parallel evolutionary training algorithms for "hardware-friendly" neural networks. Natural Computing 1(2-3): 307-322 (2002)
2000
3	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
2	EE	Vassilis P. Plagianakos, Michael N. Vrahatis: Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. IJCNN (5) 2000: 161-166
1		Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos: Globally Convergent Modification of the Quickprop Method. Neural Processing Letters 12(2): 159-170 (2000)

Coauthor Index

1	Anastasios Bezerianos	[6]
2	Michael G. Epitropakis	[14] [16] [17]
3	George D. Magoulas	[1] [3] [5] [9] [11]
4	George Nikiforidis	[12]
5	E. G. Pavlidis	[14]
6	Nicos G. Pavlidis	[8] [10] [12] [14]
7	Panagiota Ravazoula	[12]
8	Panagiota Spyridonos	[12]
9	Dimitris K. Tasoulis	[6] [7] [8] [10] [12] [13] [15]
10	Liviu Vladutu	[6]
11	Michael N. Vrahatis	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17]