| 2006 |
|---|
| 16 | EE | Stergios Papadimitriou,
Seferina Mavroudi,
Spiridon D. Likothanassis:
Mutual Information Clustering for Efficient Mining of Fuzzy Association Rules with Application to Gene Expression Data Analysis.
International Journal on Artificial Intelligence Tools 15(2): 227-250 (2006) |
| 2005 |
|---|
| 15 | EE | Stergios Papadimitriou,
Constantinos Terzidis:
Efficient and interpretable fuzzy classifiers from data with support vector learning.
Intell. Data Anal. 9(6): 527-550 (2005) |
| 2004 |
|---|
| 14 | EE | Stergios Papadimitriou,
Constantinos Terzidis:
Growing kernel-based self-organized maps trained with supervised bias.
Intell. Data Anal. 8(2): 111-130 (2004) |
| 13 | EE | Stergios Papadimitriou,
Spiridon D. Likothanassis:
Kernel-based Self-organized Maps Trained with Supervised Bias for Gene Expression Data Analysis.
J. Bioinformatics and Computational Biology 1(4): 647-680 (2004) |
| 2003 |
|---|
| 12 | EE | Seferina Mavroudi,
Andrei Dragomir,
Stergios Papadimitriou,
Anastasios Bezerianos:
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis.
ICANN 2003: 262-270 |
| 11 | EE | A. Ifantis,
Stergios Papadimitriou:
Support Vector Identification of Seismic Electric Signals.
IJPRAI 17(4): 545-565 (2003) |
| 10 | EE | A. Ifantis,
Stergios Papadimitriou:
The Nonlinear Predictability of the Electrotelluric Field Variations Data Analyzed with Support Vector Machines as an Earthquake Precursor.
Int. J. Neural Syst. 13(5): 315-332 (2003) |
| 9 | EE | Stergios Papadimitriou,
Constantinos Terzidis:
Symbolic adaptive neuro-fuzzy inference for data mining of heterogenous data.
Intell. Data Anal. 7(4): 327-346 (2003) |
| 2002 |
|---|
| 8 | | Stergios Papadimitriou,
Seferina Mavroudi,
Liviu Vladutu,
Georgios Pavlides,
Anastasios Bezerianos:
The Supervised Network Self-Organizing Map for Classification of Large Data Sets.
Appl. Intell. 16(3): 185-203 (2002) |
| 7 | | Stergios Papadimitriou,
Seferina Mavroudi,
Liviu Vladutu,
Anastasios Bezerianos:
Generalized Radial Basis Function Networks Trained with Instance Based Learning for Data Mining of Symbolic Data.
Appl. Intell. 16(3): 223-234 (2002) |
| 6 | | Seferina Mavroudi,
Stergios Papadimitriou,
Anastasios Bezerianos:
Gene expression data analysis with a dynamically extended self-organized map that exploits class information.
Bioinformatics 18(11): 1446-1453 (2002) |
| 2001 |
|---|
| 5 | EE | Liviu Vladutu,
Stergios Papadimitriou,
Seferina Mavroudi,
Anastasios Bezerianos:
Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data.
PAKDD 2001: 587-594 |
| 1999 |
|---|
| 4 | | Anastasios Bezerianos,
Stergios Papadimitriou,
D. Alexopoulos:
Radial basis function neural networks for the characterization of heart rate variability dynamics.
Artificial Intelligence in Medicine 15(3): 215-234 (1999) |
| 1997 |
|---|
| 3 | | Stergios Papadimitriou,
Anastasios Bezerianos,
Tassos Bountis:
Secure Communication with Chaotic Systems of Difference Equations.
IEEE Trans. Computers 46(1): 27-38 (1997) |
| 1996 |
|---|
| 2 | | Basilis Boutsinas,
Stergios Papadimitriou,
Georgios Pavlides:
Automatic Analysis, Verification and Synthesis of Rule-Based Real-Time Decision Making Systems with Machine Learning Assistance.
Ershov Memorial Conference 1996: 134-145 |
| 1993 |
|---|
| 1 | | Achilles Kameas,
Stergios Papadimitriou,
Georgios Pavlides:
Coupling Interaction Specification with Functionality Description.
EWHCI 1993: 21-28 |
