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Amir F. Atiya
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2020 – today
- 2024
- [j55]Roohallah Alizadehsani
, Mohamad Roshanzamir, Sadiq Hussain
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024) - [j54]Dina Elreedy
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning. Mach. Learn. 113(7): 4903-4923 (2024) - 2023
- [j53]Sandra Rizkallah
ArSphere: Arabic word vectors embedded in a polar sphere. Int. J. Speech Technol. 26(1): 95-111 (2023) - [j52]Hussain Mohammed Dipu Kabir
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [c47]Ahmad B. A. Hassanat, Ghada Awad Altarawneh, Ibraheem M. Alkhawaldeh, Yasmeen Jamal Alabdallat, Amir F. Atiya, Ahmad Abujaber, Ahmad S. Tarawneh:
The Jeopardy of Learning from Over-Sampled Class-Imbalanced Medical Datasets. ISCC 2023: 1-7 - [i10]Sandra Rizkallah, Amir F. Atiya, Samir I. Shaheen:
ARCOQ: Arabic Closest Opposite Questions Dataset. CoRR abs/2310.14384 (2023) - 2022
- [i9]Firuz Kamalov, Amir F. Atiya, Dina Elreedy:
Partial Resampling of Imbalanced Data. CoRR abs/2207.04631 (2022) - 2021
- [j51]Dina Elreedy
Multi-Step Look-Ahead Optimization Methods for Dynamic Pricing With Demand Learning. IEEE Access 9: 88478-88497 (2021) - [j50]Hatem A. Fayed
Decision boundary clustering for efficient local SVM. Appl. Soft Comput. 110: 107628 (2021) - [j49]Dina Elreedy
Novel pricing strategies for revenue maximization and demand learning using an exploration-exploitation framework. Soft Comput. 25(17): 11711-11733 (2021) - 2020
- [c46]Sandra Rizkallah
Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews. ISDA 2020: 200-211 - [c45]Ahmed Khaled, Amir F. Atiya
Applying fast matrix multiplication to neural networks. SAC 2020: 1034-1037 - [i8]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i7]Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. CoRR abs/2007.03347 (2020) - [i6]Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020)
2010 – 2019
- 2019
- [j48]Hatem A. Fayed
Speed up grid-search for parameter selection of support vector machines. Appl. Soft Comput. 80: 202-210 (2019) - [j47]Dina Elreedy
A Novel Active Learning Regression Framework for Balancing the Exploration-Exploitation Trade-Off. Entropy 21(7): 651 (2019) - [j46]Dina Elreedy
A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance. Inf. Sci. 505: 32-64 (2019) - [j45]Dina Elreedy
A framework for an agent-based dynamic pricing for broadband wireless price rate plans. J. Simulation 13(2): 96-110 (2019) - [c44]Dina Elreedy
A Novel Distribution Analysis for SMOTE Oversampling Method in Handling Class Imbalance. ICCS (3) 2019: 236-248 - 2018
- [j44]Ahmed Helmi
Multi-step ahead time series forecasting via sparse coding and dictionary based techniques. Appl. Soft Comput. 69: 464-474 (2018) - [c43]Sandra Rizkallah, Amir F. Atiya
Dialect Versus MSA Sentiment Analysis. AMLTA 2018: 605-613 - [c42]Abdelrahman Fahmy, Wael Abdelhamid
Interactive Sketch Recognition Framework for Geometric Shapes. ICONIP (5) 2018: 323-334 - 2016
- [j43]Michael Nawar Ibrahim, Amir F. Atiya
Analytical solutions to the dynamic pricing problem for time-normalized revenue. Eur. J. Oper. Res. 254(2): 632-643 (2016) - [j42]Souhaib Ben Taieb
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 27(1): 62-76 (2016) - [c41]Mahmoud Nabil, Amir F. Atiya
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification. SemEval@NAACL-HLT 2016: 52-57 - 2015
- [c40]Mohamed A. Zahran, Ahmed Magooda
Word Representations in Vector Space and their Applications for Arabic. CICLing (1) 2015: 430-443 - [c39]Mahmoud Nabil
ASTD: Arabic Sentiment Tweets Dataset. EMNLP 2015: 2515-2519 - [c38]Kholoud Dorgham, Mohamed Saleh, Amir F. Atiya
A Novel Dynamic Pricing Model for the Telecommunications Industry. MCO (2) 2015: 129-140 - 2014
- [j41]Hatem A. Fayed
An evaluation of the integral of the product of the error function and the normal probability density with application to the bivariate normal integral. Math. Comput. 83(285): 235-250 (2014) - [j40]Hatem A. Fayed
A novel series expansion for the multivariate normal probability integrals based on Fourier series. Math. Comput. 83(289): 2385-2402 (2014) - [c37]Tawfik A. Mohamed, Neamat El Gayar
Forward and Backward Forecasting Ensembles for the Estimation of Time Series Missing Data. ANNPR 2014: 93-104 - [c36]Youssef Hassan, Mohamed A. Aly, Amir F. Atiya:
Arabic Spelling Correction using Supervised Learning. ANLP@EMNLP 2014: 121-126 - [i5]Youssef Hassan, Mohamed A. Aly, Amir F. Atiya:
Arabic Spelling Correction using Supervised Learning. CoRR abs/1409.8309 (2014) - [i4]Mahmoud Nabil, Mohamed A. Aly, Amir F. Atiya:
LABR: A Large Scale Arabic Book Reviews Dataset. CoRR abs/1411.6718 (2014) - 2013
- [j39]Hatem A. Fayed
A mixed breadth-depth first strategy for the branch and bound tree of Euclidean k-center problems. Comput. Optim. Appl. 54(3): 675-703 (2013) - [j38]Hatem A. Fayed
Erratum to: A mixed breadth-depth first strategy for the branch and bound tree of Euclidean k-center problems. Comput. Optim. Appl. 54(3): 705 (2013) - [j37]Ahmed M. Fouad, Mohamed Saleh, Amir F. Atiya:
A Novel Quota Sampling Algorithm for Generating Representative Random Samples given Small Sample Size. Int. J. Syst. Dyn. Appl. 2(1): 97-113 (2013) - [c35]Mohamed A. Aly, Amir F. Atiya:
LABR: A Large Scale Arabic Book Reviews Dataset. ACL (2) 2013: 494-498 - 2012
- [j36]Souhaib Ben Taieb
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) - [c34]Amira Samy Talaat, Amir F. Atiya
Multiclass Penalized Likelihood Pattern Classification Algorithm. ICONIP (3) 2012: 141-148 - 2011
- [j35]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks 22(3): 337-346 (2011) - [j34]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Trans. Neural Networks 22(9): 1341-1356 (2011) - [i3]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) - 2010
- [j33]Ahmed H. Abdel-Gawad
Solution of systems of Boolean equations via the integer domain. Inf. Sci. 180(2): 288-300 (2010) - [c33]Ahmed Al-Ani, Amir F. Atiya
Pattern Classification Using a Penalized Likelihood Method. ANNPR 2010: 1-12 - [c32]Ahmed S. Hefny, Amir F. Atiya
A New Monte Carlo-Based Error Rate Estimator. ANNPR 2010: 37-47 - [c31]Waleed M. Azmy, Amir F. Atiya
Forecast Combination Strategies for Handling Structural Breaks for Time Series Forecasting. MCS 2010: 245-253
2000 – 2009
- 2009
- [j32]Hatem A. Fayed
Hyperspherical Prototypes for Pattern Classification. Int. J. Pattern Recognit. Artif. Intell. 23(8): 1549-1575 (2009) - [j31]George S. Eskander, Amir F. Atiya
Symbolic function network. Neural Networks 22(4): 395-404 (2009) - [j30]Amir F. Atiya
A penalized likelihood based pattern classification algorithm. Pattern Recognit. 42(11): 2684-2694 (2009) - [j29]Hatem A. Fayed
A Novel Template Reduction Approach for the K -Nearest Neighbor Method. IEEE Trans. Neural Networks 20(5): 890-896 (2009) - [c30]Khaled S. Refaat, Amir F. Atiya
Hand-Drawn Shape Recognition Using the SVM'ed Kernel. ICANN (2) 2009: 275-284 - [c29]Eman Ahmed, Neamat El Gayar
Fuzzy Gaussian Process Classification Model. ICIAR 2009: 369-376 - [c28]Stefano Maludrottu, Carlo S. Regazzoni
Corner-based background segmentation using Adaptive Resonance Theory. ICIP 2009: 3201-3204 - [c27]Akram AlSukker, Ahmed Al-Ani, Amir F. Atiya:
A Modified K-Nearest Neighbor Classifier to Deal with Unbalanced Classes. IJCCI 2009: 408-413 - [c26]Waleed M. Azmy, Neamat El Gayar
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction. MCS 2009: 428-437 - 2008
- [c25]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 - [c24]Menrit S. Fahmy, Amir F. Atiya
Biometric Fusion Using Enhanced SVM Classification. IIH-MSP 2008: 1043-1048 - [c23]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 - [c22]Ahmed H. Abdel-Gawad
A new accurate approximation for the Gaussian process classification problem. IJCNN 2008: 912-916 - [c21]Mostafa M. Hassan, Amir F. Atiya
A new multidimensional penalized likelihood regression method. IJCNN 2008: 933-938 - [i2]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) - [i1]George S. Eskander, Amir F. Atiya:
A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting. CoRR abs/0808.1378 (2008) - 2007
- [j28]Hatem A. Fayed
Self-generating prototypes for pattern classification. Pattern Recognit. 40(5): 1498-1509 (2007) - [j27]Amir F. Atiya
Packet Loss Rate Prediction Using the Sparse Basis Prediction Model. IEEE Trans. Neural Networks 18(3): 950-954 (2007) - [c20]Mostafa M. Hassan, Amir F. Atiya
Regression in the Presence Missing Data Using Ensemble Methods. IJCNN 2007: 1261-1265 - [c19]Ghada Abdelmouez, Sherif Hashem
Neural Network vs. Linear Models for Stock Market Sectors Forecasting. IJCNN 2007: 1365-1369 - [c18]Tawfik A. Mohamed, Neamat El Gayar
A Co-training Approach for Time Series Prediction with Missing Data. MCS 2007: 93-102 - 2006
- [c17]Amir F. Atiya
Pattern Classification Using a Set of Compact Hyperspheres. ICONIP (2) 2006: 116-123 - [c16]Amir F. Atiya
Analysis and Insights into the Variable Selection Problem. ICONIP (2) 2006: 764-775 - 2005
- [j26]Amir F. Atiya
Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule. Neural Comput. 17(3): 731-740 (2005) - [j25]Amir F. Atiya
Efficient Estimation of First Passage Time Density Function for Jump-Diffusion Processes. SIAM J. Sci. Comput. 26(5): 1760-1775 (2005) - [j24]Alexander G. Parlos, Chuanyi Ji, Thomas Parisini, Marco Baglietto
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks. IEEE Trans. Neural Networks 16(5): 1013-1018 (2005) - [j23]Amir F. Atiya
Sparse basis selection: new results and application to adaptive prediction of video source traffic. IEEE Trans. Neural Networks 16(5): 1136-1146 (2005) - 2003
- [j22]Aninda Bhattacharya, Alexander G. Parlos, Amir F. Atiya
Prediction of MPEG-coded video source traffic using recurrent neural networks. IEEE Trans. Signal Process. 51(8): 2177-2190 (2003) - [c15]Steve A. K. Metwally, Amir F. Atiya
Fast Monte Carlo valuation of barrier options for jump diffusion processes. CIFEr 2003: 101-107 - [c14]Malik Magdon-Ismail, Amir F. Atiya
The maximum drawdown of the Brownian motion. CIFEr 2003: 243-247 - 2002
- [j21]Malik Magdon-Ismail, Amir F. Atiya
Density estimation and random variate generation using multilayer networks. IEEE Trans. Neural Networks 13(3): 497-520 (2002) - 2001
- [j20]Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya
Neuro-predictive process control using online controller adaptation. IEEE Trans. Control. Syst. Technol. 9(5): 741-755 (2001) - [j19]Yaser S. Abu-Mostafa, Amir F. Atiya
Introduction to the special issue on neural networks in financial engineering. IEEE Trans. Neural Networks 12(4): 653-656 (2001) - [j18]Amir F. Atiya
Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Trans. Neural Networks 12(4): 929-935 (2001) - [j17]Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya
An algorithmic approach to adaptive state filtering using recurrent neural networks. IEEE Trans. Neural Networks 12(6): 1411-1432 (2001) - 2000
- [j16]Malik Magdon-Ismail, Amir F. Atiya
The Early Restart Algorithm. Neural Comput. 12(6): 1303-1312 (2000) - [j15]Emad Gad
A new algorithm for learning in piecewise-linear neural networks. Neural Networks 13(4-5): 485-505 (2000) - [j14]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) - [j13]Amir F. Atiya
New results on recurrent network training: unifying the algorithms and accelerating convergence. IEEE Trans. Neural Networks Learn. Syst. 11(3): 697-709 (2000) - [c13]Alexander G. Parlos, Sanjay Parthasarathy, Amir F. Atiya:
Neuro-predictive process control using online controller adaptation. ACC 2000: 2164-2168 - [c12]Amir F. Atiya
Fast Algorithms for Computing Corporate Default Probabilities. IDEAL 2000: 239-243
1990 – 1999
- 1999
- [j12]Hosam Khalil, Amir F. Atiya
Three-dimensional video compression using subband/wavelet transform with lower buffering requirements. IEEE Trans. Image Process. 8(6): 762-773 (1999) - [j11]Amir F. Atiya
A comparison between neural-network forecasting techniques-case study: river flow forecasting. IEEE Trans. Neural Networks 10(2): 402-409 (1999) - [c11]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 - [c10]Alexander G. Parlos, Omar T. Rais, Amir F. Atiya:
Multi-step-ahead prediction using dynamic recurrent neural networks. IJCNN 1999: 349-352 - [c9]Alexander G. Parlos, Sunil K. Menon, Amir F. Atiya:
Adaptive state estimation using dynamic recurrent neural networks. IJCNN 1999: 3361-3364 - 1998
- [c8]Hoda Baraka, Hatem Manawy, Amir F. Atiya:
An integrated model for intranet security using prevention and detection techniques. ISCC 1998: 498-502 - [c7]A. Sayed, Hoda Baraka, Amir F. Atiya
Genetic application in the design of dynamic interconnection networks. ISCC 1998: 571-575 - [c6]Malik Magdon-Ismail, Amir F. Atiya:
Neural Networks for Density Estimation. NIPS 1998: 522-528 - 1997
- [j10]Amir F. Atiya
How initial conditions affect generalization performance in large networks. IEEE Trans. Neural Networks 8(2): 448-451 (1997) - [c5]Amir F. Atiya
An efficient stock market forecasting model using neural networks. ICNN 1997: 2112-2115 - 1996
- [j9]Yaser S. Abu-Mostafa, Amir F. Atiya
Introduction to Financial Forecasting. Appl. Intell. 6(3): 205-213 (1996) - [c4]Hosam Khalil, Amir F. Atiya, Samir I. Shaheen:
DCT of spatially adaptive subsampled interframes for image sequence coding. ICIP (3) 1996: 391-394 - 1994
- [j8]Alexander G. Parlos, Kil To Chong, Amir F. Atiya
Application of the recurrent multilayer perceptron in modeling complex process dynamics. IEEE Trans. Neural Networks 5(2): 255-266 (1994) - [j7]Alexander G. Parlos, Benito Fernández, Amir F. Atiya
An accelerated learning algorithm for multilayer perceptron networks. IEEE Trans. Neural Networks 5(3): 493-497 (1994) - [j6]Pierre Baldi, Amir F. Atiya
How delays affect neural dynamics and learning. IEEE Trans. Neural Networks 5(4): 612-621 (1994) - 1993
- [j5]Amir F. Atiya
An analog feedback associative memory. IEEE Trans. Neural Networks 4(1): 117-126 (1993) - 1992
- [j4]Amir F. Atiya:
Recognition of multiunit neural signals. IEEE Trans. Biomed. Eng. 39(7): 723-729 (1992) - 1990
- [j3]Amir F. Atiya
An unsupervised learning technique for artificial neural networks. Neural Networks 3(6): 707-711 (1990)
1980 – 1989
- 1989
- [j2]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) - [c3]Amir F. Atiya, Yaser S. Abu-Mostafa:
A Method for the Associative Storage of Analog Vectors. NIPS 1989: 590-595 - 1987
- [j1]Amir F. Atiya
The Optimal Linear Feature for the Three-Class Equal-Covariance Gaussian Case. IEEE Trans. Syst. Man Cybern. 17(3): 495-502 (1987) - [c2]Amir F. Atiya:
Learning on a General Network. NIPS 1987: 22-30 - [c1]James M. Bower, Amir F. Atiya:
Optimal Neural Spike Classification. NIPS 1987: 95-102
Coauthor Index
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