| 2008 |
|---|
| 9 | EE | S. Lalas,
Nikolaos Ampazis,
Athanasios Tsakonas,
Georgios Dounias,
K. Vemmos:
Modeling Stroke Diagnosis with the Use of Intelligent Techniques.
SETN 2008: 352-358 |
| 2007 |
|---|
| 8 | EE | Nikolaos Ampazis,
Helen Iakovaki,
Georgios Dounias:
Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks.
ICTAI (2) 2007: 413-417 |
| 2004 |
|---|
| 7 | EE | Nikolaos Ampazis,
Georgios Dounias,
Jan Jantzen:
Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms.
SETN 2004: 230-245 |
| 6 | | Nikolaos Ampazis,
Stavros J. Perantonis:
LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections.
Neural Processing Letters 19(2): 157-173 (2004) |
| 2001 |
|---|
| 5 | EE | Nikolaos Ampazis,
Stavros J. Perantonis,
John G. Taylor:
A dynamical model for the analysis and acceleration of learning in feedforward networks.
Neural Networks 14(8): 1075-1088 (2001) |
| 2000 |
|---|
| 4 | EE | Nikolaos Ampazis,
Stavros J. Perantonis:
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks.
IJCNN (1) 2000: 126-131 |
| 3 | EE | Stavros J. Perantonis,
Nikolaos Ampazis,
S. Spirou:
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates.
IJCNN (1) 2000: 138-145 |
| 1999 |
|---|
| 2 | EE | Nikolaos Ampazis,
Stavros J. Perantonis,
John G. Taylor:
Dynamics of multilayer networks in the vicinity of temporary minima.
Neural Networks 12(1): 43-58 (1999) |
| 1998 |
|---|
| 1 | | Stavros J. Perantonis,
Nikolaos Ampazis,
Stavros Varoufakis,
George Antoniou:
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials.
Neural Processing Letters 7(1): 5-14 (1998) |
