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2014

Tasoulis, Sotiris K; Maglogiannis, Ilias; Plagianakos, Vassilis P

Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images Journal Article

In: Artificial Intelligence Review, vol. 42, no. 3, pp. 313–329, 2014.

BibTeX | Tags: Artificial intelligence, Machine Learning

2012

Maglogiannis, Ilias; Plagianakos, Vassilis; Vlahavas, Ioannis

Artificial Intelligence: Theories, Models and Applications: 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings Book

Springer, 2012.

BibTeX | Tags: Artificial intelligence

2004

Parsopoulos, K E; Tasoulis, D K; Pavlidis, N G; Plagianakos, V P; Vrahatis, M N

Vector evaluated differential evolution for multiobjective optimization Proceedings Article

In: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), pp. 204-211 Vol.1, 2004.

Links | BibTeX | Tags: Algorithms, Artificial intelligence

2002

Plagianakos, Vassilis P; Magoulas, George D; Vrahatis, Michael N

Deterministic nonmonotone strategies for effective training of multilayer perceptrons Journal Article

In: IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1268–1284, 2002.

BibTeX | Tags: Algorithms, Artificial intelligence

2001

Magoulas, G D; Plagianakos, V P; Vrahatis, M N

Hybrid methods using evolutionary algorithms for on-line training Proceedings Article

In: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 2218-2223 vol.3, 2001.

Links | BibTeX | Tags: Algorithms, Artificial intelligence, Machine Learning, Neural Networks

Plagianakos, V P; Magoulas, G D; Nousis, N K; Vrahatis, M N

PVM-based training of large neural architectures Proceedings Article

In: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 2584-2589 vol.4, 2001.

Links | BibTeX | Tags: Artificial intelligence, Neural Networks

14 entries « 1 of 3 »

Show all

1.

Tasoulis, Sotiris K; Maglogiannis, Ilias; Plagianakos, Vassilis P

Fractal analysis and fuzzy c-means clustering for quantification of fibrotic microscopy images Journal Article

In: Artificial Intelligence Review, vol. 42, no. 3, pp. 313–329, 2014.

BibTeX

2.

Maglogiannis, Ilias; Plagianakos, Vassilis; Vlahavas, Ioannis

Artificial Intelligence: Theories, Models and Applications: 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings Book

Springer, 2012.

BibTeX

3.

Parsopoulos, K E; Tasoulis, D K; Pavlidis, N G; Plagianakos, V P; Vrahatis, M N

Vector evaluated differential evolution for multiobjective optimization Proceedings Article

In: Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), pp. 204-211 Vol.1, 2004.

Links | BibTeX

4.

Plagianakos, Vassilis P; Magoulas, George D; Vrahatis, Michael N

Deterministic nonmonotone strategies for effective training of multilayer perceptrons Journal Article

In: IEEE Transactions on Neural Networks, vol. 13, no. 6, pp. 1268–1284, 2002.

BibTeX

5.

Magoulas, G D; Plagianakos, V P; Vrahatis, M N

Hybrid methods using evolutionary algorithms for on-line training Proceedings Article

In: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 2218-2223 vol.3, 2001.

Links | BibTeX

6.

Plagianakos, V P; Magoulas, G D; Nousis, N K; Vrahatis, M N

PVM-based training of large neural architectures Proceedings Article

In: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 2584-2589 vol.4, 2001.

Links | BibTeX

7.

Plagianakos, V P; Magoulas, G D; Nousis, N K; Vrahatis, M N

Training multilayer networks with discrete activation functions Proceedings Article

In: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 2805-2810 vol.4, 2001.

Links | BibTeX

8.

Plagianakos, V P; Tzanaki, E

Chaotic analysis of seismic time series and short term forecasting using neural networks Proceedings Article

In: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222), pp. 1598-1602 vol.3, 2001.

Links | BibTeX

9.

Magoulas, G D; Plagianakos, V P; Vrahatis, M N

Development and convergence analysis of training algorithms with local learning rate adaptation Proceedings Article

In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, pp. 21-26 vol.1, 2000.

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10.

Plagianakos, Vassilis; Vrahatis, Michael

Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights. Proceedings Article

In: pp. 161-166, 2000.

Links | BibTeX

11.

Plagianakos, VP; Vrahatis, MN

Neural network training with constrained integer weights Proceedings Article

In: Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), pp. 2007–2013, IEEE 1999.

BibTeX

12.

Magoulas, G D; Plagianakos, V P; Vrahatis, M N

Sign-methods for training with imprecise error function and gradient values Proceedings Article

In: IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), pp. 1768-1773 vol.3, 1999.

Links | BibTeX

13.

Vrahatis, Michael; Magoulas, George; Plagianakos, V P

Convergence analysis of the Quickprop method Proceedings Article

In: pp. 1209 - 1214 vol.2, 1999, ISBN: 0-7803-5529-6.

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14.

Palgianakos, V P; Vrahatis, Michael; Magoulas, George

Nonmonotone methods for backpropagation training with adaptive learning rate Proceedings Article

In: pp. 1762 - 1767 vol.3, 1999, ISBN: 0-7803-5529-6.

Links | BibTeX