Nikolaos Ampazis

17 papers B 2Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2015	J	`jnl`	Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks. Cogn. Comput. Nikolaos Ampazis, Stavros J. Perantonis, Dimosthenis Drivaliaris
2014	—	`conf`	Ground Resistance Estimation Using Feed-Forward Neural Networks, Linear Regression and Feature Selection Models. SETN Theopi Eleftheriadou, Nikolaos Ampazis, Vasilios P. Androvitsaneas, Ioannis F. Gonos, Georgios Dounias, Ioannis A. Stathopulos
2010	—	`conf`	Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines. SETN Nikolaos Ampazis, Nikolaos D. Alexopoulos
2008	—	`conf`	Modeling Stroke Diagnosis with the Use of Intelligent Techniques. SETN S. Lalas, Nikolaos Ampazis, Athanasios Tsakonas, Georgios Dounias, K. Vemmos
2007	—	`conf`	Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks. ICTAI (2) Nikolaos Ampazis, Helen Iakovaki, Georgios Dounias
2004	B	`conf`	Cross-language information retrieval using latent semantic indexing and self-organizing maps. IJCNN Nikolaos Ampazis, Helen Iakovaki
2004	J	`jnl`	Design of cellular manufacturing systems using Latent Semantic Indexing and Self Organizing Maps. Comput. Manag. Sci. Nikolaos Ampazis, Ioannis Minis
2004	J	`jnl`	LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections. Neural Process. Lett. Nikolaos Ampazis, Stavros J. Perantonis
2004	—	`conf`	Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms. SETN Nikolaos Ampazis, Georgios Dounias, Jan Jantzen
2002	J	`jnl`	Two highly efficient second-order algorithms for training feedforward networks. IEEE Trans. Neural Networks Nikolaos Ampazis, Stavros J. Perantonis
2001	J	`jnl`	A dynamical model for the analysis and acceleration of learning in feedforward networks. Neural Networks Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
2000	J	`jnl`	A Learning Framework for Neural Networks Using Constrained Optimization Methods. Ann. Oper. Res. Stavros J. Perantonis, Nikolaos Ampazis, Vassilis Virvilis
2000	—	`conf`	Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks. IJCNN (1) Nikolaos Ampazis, Stavros J. Perantonis
2000	—	`conf`	Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates. IJCNN (1) Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou
1999	B	`conf`	Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. IJCNN Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
1999	J	`jnl`	Dynamics of multilayer networks in the vicinity of temporary minima. Neural Networks Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor
1998	J	`jnl`	Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials. Neural Process. Lett. Stavros J. Perantonis, Nikolaos Ampazis, Stavros Varoufakis, George Antoniou