2008 |
28 | | Ahmed S. Hefny,
Ayat A. Hatem,
Mahmoud M. Shalaby,
Amir F. Atiya:
Cerberus: Applying Supervised and Reinforcement Learning Techniques to Capture the Flag Games.
AIIDE 2008 |
27 | EE | Khaled S. Refaat,
Wael N. Helmy,
AbdelRahman H. Ali,
Mohamed S. AbdelGhany,
Amir F. Atiya:
A new approach for context-independent handwritten offline diagram recognition using support vector machines.
IJCNN 2008: 177-182 |
26 | EE | Ahmed H. Abdel-Gawad,
Amir F. Atiya:
A new accurate approximation for the Gaussian process classification problem.
IJCNN 2008: 912-916 |
25 | EE | Mostafa M. Hassan,
Amir F. Atiya,
Raafat El-Fouly:
A new multidimensional penalized likelihood regression method.
IJCNN 2008: 933-938 |
24 | EE | George S. Eskander,
Amir F. Atiya,
Kil To Chong,
Hyongsuk Kim,
Sung Goo Yoo:
Round Trip Time Prediction Using the Symbolic Function Network Approach
CoRR abs/0806.3646: (2008) |
23 | EE | George S. Eskander,
Amir F. Atiya:
A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting
CoRR abs/0808.1378: (2008) |
2007 |
22 | 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 |
21 | EE | Ghada Abdelmouez,
Sherif Hashem,
Amir F. Atiya,
Mohamed A. El-Gamal:
Neural Network vs. Linear Models for Stock Market Sectors Forecasting.
IJCNN 2007: 1365-1369 |
20 | 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 |
19 | EE | Amir F. Atiya,
Sung Goo Yoo,
Kil To Chong,
Hyongsuk Kim:
Packet Loss Rate Prediction Using the Sparse Basis Prediction Model.
IEEE Transactions on Neural Networks 18(3): 950-954 (2007) |
18 | EE | Hatem A. Fayed,
Sherif Hashem,
Amir F. Atiya:
Self-generating prototypes for pattern classification.
Pattern Recognition 40(5): 1498-1509 (2007) |
2006 |
17 | EE | Amir F. Atiya,
Sherif Hashem,
Hatem A. Fayed:
Pattern Classification Using a Set of Compact Hyperspheres.
ICONIP (2) 2006: 116-123 |
16 | EE | Amir F. Atiya:
Analysis and Insights into the Variable Selection Problem.
ICONIP (2) 2006: 764-775 |
2005 |
15 | EE | Amir F. Atiya:
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule.
Neural Computation 17(3): 731-740 (2005) |
2000 |
14 | EE | Amir F. Atiya:
Fast Algorithms for Computing Corporate Default Probabilities.
IDEAL 2000: 239-243 |
13 | | Malik Magdon-Ismail,
Amir F. Atiya:
The Early Restart Algorithm.
Neural Computation 12(6): 1303-1312 (2000) |
12 | EE | Emad Gad,
Amir F. Atiya,
Samir I. Shaheen,
Ayman El-Dessouki:
A new algorithm for learning in piecewise-linear neural networks.
Neural Networks 13(4-5): 485-505 (2000) |
11 | EE | Alexander G. Parlos,
Omar T. Rais,
Amir F. Atiya:
Multi-step-ahead prediction using dynamic recurrent neural networks.
Neural Networks 13(7): 765-786 (2000) |
1999 |
10 | | Hosam Khalil,
Amir F. Atiya,
Samir I. Shaheen:
Lowering Frame-Buffering Requirements of 3-D Wavelet Transform Coding of Interactive Video.
ICIP (3) 1999: 852-856 |
9 | EE | Hosam Khalil,
Amir F. Atiya,
Samir I. Shaheen:
Three-dimensional video compression using subband/wavelet transform with lower buffering requirements.
IEEE Transactions on Image Processing 8(6): 762-773 (1999) |
8 | EE | Amir F. Atiya,
S. M. El-Shoura,
Samir I. Shaheen,
M. S. El-Sherif:
A comparison between neural-network forecasting techniques-case study: river flow forecasting.
IEEE Transactions on Neural Networks 10(2): 402-409 (1999) |
1998 |
7 | EE | Malik Magdon-Ismail,
Amir F. Atiya:
Neural Networks for Density Estimation.
NIPS 1998: 522-528 |
1996 |
6 | | Yaser S. Abu-Mostafa,
Amir F. Atiya:
Introduction to Financial Forecasting.
Appl. Intell. 6(3): 205-213 (1996) |
1990 |
5 | EE | Amir F. Atiya:
An unsupervised learning technique for artificial neural networks.
Neural Networks 3(6): 707-711 (1990) |
1989 |
4 | EE | Amir F. Atiya,
Yaser S. Abu-Mostafa:
A Method for the Associative Storage of Analog Vectors.
NIPS 1989: 590-595 |
3 | EE | Amir F. Atiya,
Pierre Baldi:
Oscillations and Synchronizations in Neural Networks: an Exploration of the Labeling Hypothesis.
Int. J. Neural Syst. 1(2): 103-124 (1989) |
1987 |
2 | EE | Amir F. Atiya:
Learning on a General Network.
NIPS 1987: 22-30 |
1 | EE | James M. Bower,
Amir F. Atiya:
Optimal Neural Spike Classification.
NIPS 1987: 95-102 |