 | 2010 |
| 34 |  | Ahmed H. Abdel-Gawad,
Amir F. Atiya,
Nevin M. Darwish:
Solution of systems of Boolean equations via the integer domain.
Inf. Sci. 180(2): 288-300 (2010) |
| 2009 |
| 33 |  | Khaled S. Refaat,
Amir F. Atiya:
Hand-Drawn Shape Recognition Using the SVM'ed Kernel.
ICANN (2) 2009: 275-284 |
| 32 |  | Eman Ahmed,
Neamat El Gayar,
Amir F. Atiya,
Iman A. El Azab:
Fuzzy Gaussian Process Classification Model.
ICIAR 2009: 369-376 |
| 31 |  | 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 |
| 30 |  | George S. Eskander,
Amir F. Atiya:
Symbolic function network.
Neural Networks 22(4): 395-404 (2009) |
| 29 |  | Amir F. Atiya,
Ahmed Al-Ani:
A penalized likelihood based pattern classification algorithm.
Pattern Recognition 42(11): 2684-2694 (2009) |
| 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 |  | 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 |  | Ahmed H. Abdel-Gawad,
Amir F. Atiya:
A new accurate approximation for the Gaussian process classification problem.
IJCNN 2008: 912-916 |
| 25 |  | Mostafa M. Hassan,
Amir F. Atiya,
Raafat El-Fouly:
A new multidimensional penalized likelihood regression method.
IJCNN 2008: 933-938 |
| 24 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | Hatem A. Fayed,
Sherif Hashem,
Amir F. Atiya:
Self-generating prototypes for pattern classification.
Pattern Recognition 40(5): 1498-1509 (2007) |
| 2006 |
| 17 |  | Amir F. Atiya,
Sherif Hashem,
Hatem A. Fayed:
Pattern Classification Using a Set of Compact Hyperspheres.
ICONIP (2) 2006: 116-123 |
| 16 |  | Amir F. Atiya:
Analysis and Insights into the Variable Selection Problem.
ICONIP (2) 2006: 764-775 |
| 2005 |
| 15 |  | Amir F. Atiya:
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule.
Neural Computation 17(3): 731-740 (2005) |
| 2000 |
| 14 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | 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 |  | Amir F. Atiya:
An unsupervised learning technique for artificial neural networks.
Neural Networks 3(6): 707-711 (1990) |
| 1989 |
| 4 |  | Amir F. Atiya,
Yaser S. Abu-Mostafa:
A Method for the Associative Storage of Analog Vectors.
NIPS 1989: 590-595 |
| 3 |  | 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 |  | Amir F. Atiya:
Learning on a General Network.
NIPS 1987: 22-30 |
| 1 |  | James M. Bower,
Amir F. Atiya:
Optimal Neural Spike Classification.
NIPS 1987: 95-102 |