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| 2012 | ||
|---|---|---|
| 53 | Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa: A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition. Expert Syst. Appl. 39(8): 7067-7083 (2012) | |
| 2011 | ||
| 52 | Souhaib Ben Taieb, Gianluca Bontempi, Amir F. Atiya, Antti Sorjamaa: A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition CoRR abs/1108.3259: (2011) | |
| 51 | Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya: Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Transactions on Neural Networks 22(3): 337-346 (2011) | |
| 50 | Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya: Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Transactions on Neural Networks 22(9): 1341-1356 (2011) | |
| 2010 | ||
| 49 | Ahmed Al-Ani, Amir F. Atiya: Pattern Classification Using a Penalized Likelihood Method. ANNPR 2010: 1-12 | |
| 48 | Ahmed S. Hefny, Amir F. Atiya: A New Monte Carlo-Based Error Rate Estimator. ANNPR 2010: 37-47 | |
| 47 | Waleed M. Azmy, Amir F. Atiya, Hisham El-Shishiny: Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting. MCS 2010: 245-253 | |
| 46 | 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 | ||
| 45 | Khaled S. Refaat, Amir F. Atiya: Hand-Drawn Shape Recognition Using the SVM'ed Kernel. ICANN (2) 2009: 275-284 | |
| 44 | Eman Ahmed, Neamat El Gayar, Amir F. Atiya, Iman A. El Azab: Fuzzy Gaussian Process Classification Model. ICIAR 2009: 369-376 | |
| 43 | Akram AlSukker, Ahmed Al-Ani, Amir F. Atiya: A Modified K-Nearest Neighbor Classifier to Deal with Unbalanced Classes. IJCCI 2009: 408-413 | |
| 42 | 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 | |
| 41 | Hatem A. Fayed, Amir F. Atiya: A Novel Template Reduction Approach for the K -Nearest Neighbor Method. IEEE Transactions on Neural Networks 20(5): 890-896 (2009) | |
| 40 | Hatem A. Fayed, Amir F. Atiya, Sherif Hashem: Hyperspherical Prototypes for Pattern Classification. IJPRAI 23(8): 1549-1575 (2009) | |
| 39 | George S. Eskander, Amir F. Atiya: Symbolic function network. Neural Networks 22(4): 395-404 (2009) | |
| 38 | Amir F. Atiya, Ahmed Al-Ani: A penalized likelihood based pattern classification algorithm. Pattern Recognition 42(11): 2684-2694 (2009) | |
| 2008 | ||
| 37 | 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 | |
| 36 | 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 | |
| 35 | Ahmed H. Abdel-Gawad, Amir F. Atiya: A new accurate approximation for the Gaussian process classification problem. IJCNN 2008: 912-916 | |
| 34 | Mostafa M. Hassan, Amir F. Atiya, Raafat El-Fouly: A new multidimensional penalized likelihood regression method. IJCNN 2008: 933-938 | |
| 33 | 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) | |
| 32 | George S. Eskander, Amir F. Atiya: A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting CoRR abs/0808.1378: (2008) | |
| 2007 | ||
| 31 | 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 | |
| 30 | 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 | |
| 29 | Tawfik A. Mohamed, Neamat El Gayar, Amir F. Atiya: A Co-training Approach for Time Series Prediction with Missing Data. MCS 2007: 93-102 | |
| 28 | 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) | |
| 27 | Hatem A. Fayed, Sherif Hashem, Amir F. Atiya: Self-generating prototypes for pattern classification. Pattern Recognition 40(5): 1498-1509 (2007) | |
| 2006 | ||
| 26 | Amir F. Atiya, Sherif Hashem, Hatem A. Fayed: Pattern Classification Using a Set of Compact Hyperspheres. ICONIP (2) 2006: 116-123 | |
| 25 | Amir F. Atiya: Analysis and Insights into the Variable Selection Problem. ICONIP (2) 2006: 764-775 | |
| 2005 | ||
| 24 | Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto, Amir F. Atiya, Kimberly C. Claffy: Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. IEEE Transactions on Neural Networks 16(5): 1013-1018 (2005) | |
| 23 | Amir F. Atiya, Mohamed A. Aly, Alexander G. Parlos: Sparse basis selection: new results and application to adaptive prediction of video source traffic. IEEE Transactions on Neural Networks 16(5): 1136-1146 (2005) | |
| 22 | Amir F. Atiya: Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule. Neural Computation 17(3): 731-740 (2005) | |
| 21 | Amir F. Atiya, Steve A. K. Metwally: Efficient Estimation of First Passage Time Density Function for Jump-Diffusion Processes. SIAM J. Scientific Computing 26(5): 1760-1775 (2005) | |
| 2003 | ||
| 20 | Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya: Prediction of MPEG-coded video source traffic using recurrent neural networks. IEEE Transactions on Signal Processing 51(8): 2177-2190 (2003) | |
| 2002 | ||
| 19 | Malik Magdon-Ismail, Amir F. Atiya: Density estimation and random variate generation using multilayer networks. IEEE Transactions on Neural Networks 13(3): 497-520 (2002) | |
| 2001 | ||
| 18 | Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White: Introduction to the special issue on neural networks in financial engineering. IEEE Transactions on Neural Networks 12(4): 653-656 (2001) | |
| 17 | Amir F. Atiya: Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Transactions on Neural Networks 12(4): 929-935 (2001) | |
| 16 | Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya: An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Transactions on Neural Networks 12(6): 1411-1432 (2001) | |
| 2000 | ||
| 15 | Amir F. Atiya: Fast Algorithms for Computing Corporate Default Probabilities. IDEAL 2000: 239-243 | |
| 14 | Amir F. Atiya, Alexander G. Parlos: New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans. Neural Netw. Learning Syst. 11(3): 697-709 (2000) | |
| 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 | |
Colors in the list of coauthors
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