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Publications of Author

1. Dimitris K. Tasoulis, Liviu Vladutu, Vassilis P. Plagianakos, Anastasios Bezerianos, Michael N. Vrahatis
   Online Neural Network Training for Automatic Ischemia Episode Detection. [Citation Graph (0, 0)][DBLP]
   ICAISC, 2004, pp:1062-1068 [Conf]
   
2. Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
   Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data. [Citation Graph (0, 0)][DBLP]
   AIAI, 2006, pp:484-491 [Conf]
   
3. George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
   Development and Convergence Analysis of Training Algorithms with Local Learning Rate Adaptation. [Citation Graph (0, 0)][DBLP]
   IJCNN (1), 2000, pp:21-26 [Conf]
   
4. Vassilis P. Plagianakos, Michael N. Vrahatis
   Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. [Citation Graph (0, 0)][DBLP]
   IJCNN (5), 2000, pp:161-166 [Conf]
   
5. George D. Magoulas, Vassilis P. Plagianakos, Michael N. Vrahatis
   Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. [Citation Graph (0, 0)][DBLP]
   Appl. Soft Comput., 2004, v:4, n:4, pp:369-379 [Journal]
   
6. Vassilis P. Plagianakos, Michael N. Vrahatis
   Parallel evolutionary training algorithms for "hardware-friendly" neural networks. [Citation Graph (0, 0)][DBLP]
   Natural Computing, 2002, v:1, n:2-3, pp:307-322 [Journal]
   
7. Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
   Evolutionary training of hardware realizable multilayer perceptrons. [Citation Graph (0, 0)][DBLP]
   Neural Computing and Applications, 2006, v:15, n:1, pp:33-40 [Journal]
   
8. Michael N. Vrahatis, George D. Magoulas, Vassilis P. Plagianakos
   Globally Convergent Modification of the Quickprop Method. [Citation Graph (0, 0)][DBLP]
   Neural Processing Letters, 2000, v:12, n:2, pp:159-170 [Journal]
   
9. Vassilis P. Plagianakos, George D. Magoulas, Michael N. Vrahatis
   Distributed computing methodology for training neural networks in an image-guided diagnostic application. [Citation Graph (0, 0)][DBLP]
   Computer Methods and Programs in Biomedicine, 2006, v:81, n:3, pp:228-235 [Journal]
   
10. Dimitris K. Tasoulis, Vassilis P. Plagianakos, Michael N. Vrahatis
    Clustering in evolutionary algorithms to efficiently compute simultaneously local and global minima. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1847-1854 [Conf]
    
11. 
    Non-monotone differential evolution. [Citation Graph (, )][DBLP]
    
    
12. 
    Skin Lesions Characterisation Utilising Clustering Algorithms. [Citation Graph (, )][DBLP]
    
    
13. 
    Computational intelligence algorithms for risk-adjusted trading strategies. [Citation Graph (, )][DBLP]
    
    
14. 
    Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. [Citation Graph (, )][DBLP]
    
    
15. 
    Evolutionary adaptation of the differential evolution control parameters. [Citation Graph (, )][DBLP]
    
    
16. 
    Projection Based Clustering of Gene Expression Data. [Citation Graph (, )][DBLP]
    
    
17. 
    Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. [Citation Graph (, )][DBLP]
    
    
18. 
    Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. [Citation Graph (, )][DBLP]