| * | 2009 |
|---|
| 7 | EE | Eman Ahmed,
Neamat El Gayar,
Amir F. Atiya,
Iman A. El Azab:
Fuzzy Gaussian Process Classification Model.
ICIAR 2009: 369-376 |
| 6 | EE | Waleed M. Azmy,
Neamat El Gayar,
Amir F. Atiya,
Hisham El-Shishiny:
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction.
MCS 2009: 428-437 |
| 2007 |
|---|
| 5 | EE | Mostafa M. Hassan,
Amir F. Atiya,
Neamat El Gayar,
Raafat El-Fouly:
Regression in the Presence Missing Data Using Ensemble Methods.
IJCNN 2007: 1261-1265 |
| 4 | EE | Tawfik A. Mohamed,
Neamat El Gayar,
Amir F. Atiya:
A Co-training Approach for Time Series Prediction with Missing Data.
MCS 2007: 93-102 |
| 2006 |
|---|
| 3 | EE | Neamat El Gayar,
Friedhelm Schwenker,
Günther Palm:
A Study of the Robustness of KNN Classifiers Trained Using Soft Labels.
ANNPR 2006: 67-80 |
| 2 | EE | Zbigniew Suraj,
Neamat El Gayar,
Pawel Delimata:
A Rough Set Approach to Multiple Classifier Systems.
Fundam. Inform. 72(1-3): 393-406 (2006) |
| 2004 |
|---|
| 1 | | Neamat El Gayar:
An Experimental Study of a Self-Supervised Classifier Ensemble.
International Conference on Computational Intelligence 2004: 197-201 |
